BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Living Open Source Foundation - ECPv6.15.13//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Living Open Source Foundation X-ORIGINAL-URL:https://livingopensource.org X-WR-CALDESC:Events for Living Open Source Foundation REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Africa/Lusaka BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0200 TZNAME:CAT DTSTART:20240101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250731T180000 DTEND;TZID=Africa/Lusaka:20250731T200000 DTSTAMP:20260621T101646 CREATED:20250724T034338Z LAST-MODIFIED:20250725T232151Z UID:5515-1753984800-1753992000@livingopensource.org SUMMARY:Accessing Applications with Kubernetes Gateway API DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/accessing-applications-with-kubernetes-gateway-api/ LOCATION:Online ATTACH;FMTTYPE=image/jpeg:https://livingopensource.org/wp-content/uploads/2025/07/1-H-Accessing-Applications-with-Kubernetes-Gateway-API-july-31-2025.jpg ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250801T180000 DTEND;TZID=Africa/Lusaka:20250801T190000 DTSTAMP:20260621T101646 CREATED:20250721T075705Z LAST-MODIFIED:20250725T232343Z UID:5487-1754071200-1754074800@livingopensource.org SUMMARY:One Hour to Confident OpenEBS Storage Management on K8S DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/openebs-storage-management-on-k8s/ LOCATION:Online ATTACH;FMTTYPE=image/jpeg:https://livingopensource.org/wp-content/uploads/2025/07/1-H-Session-One-Hour-to-Confident-OpenEBS-Storage-Management-on-K8S-august-1-2025.jpg ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250804T180000 DTEND;TZID=Africa/Lusaka:20250804T190000 DTSTAMP:20260621T101646 CREATED:20250721T074206Z LAST-MODIFIED:20250725T232507Z UID:5481-1754330400-1754334000@livingopensource.org SUMMARY:Longhorn for Kubernetes DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/longhorn-for-kubernetes/ LOCATION:Online ATTACH;FMTTYPE=image/jpeg:https://livingopensource.org/wp-content/uploads/2025/07/1-H-Session-Longhorn-on-K8S-in-one-hour-august-4-2025.jpg ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250805T180000 DTEND;TZID=Africa/Lusaka:20250805T190000 DTSTAMP:20260621T101646 CREATED:20250721T072138Z LAST-MODIFIED:20250801T055705Z UID:5475-1754416800-1754420400@livingopensource.org SUMMARY:Calico CNI v3 for Kubernetes DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/calico-cni-v3-for-kubernetes/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2025/07/1-H-Session-Calico-CNI-v3-for-Kubernetes-august-5-2025.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250818T180000 DTEND;TZID=Africa/Lusaka:20250818T190000 DTSTAMP:20260621T101646 CREATED:20250806T104954Z LAST-MODIFIED:20250806T105546Z UID:5549-1755540000-1755543600@livingopensource.org SUMMARY:Strengthen Your Linux Security with Practical SELinux Skills DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/strengthen-your-linux-security-with-practical-selinux-skills/ LOCATION:Online ATTACH;FMTTYPE=image/jpeg:https://livingopensource.org/wp-content/uploads/2025/08/1-Strengthen-your-linux-security-with-practical-selinux-skills-August-18th-2025.jpg ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250915T180000 DTEND;TZID=Africa/Lusaka:20250915T190000 DTSTAMP:20260621T101646 CREATED:20250806T135107Z LAST-MODIFIED:20250806T135107Z UID:5561-1757959200-1757962800@livingopensource.org SUMMARY:Kubernetes in Action - Your First Containerized Application DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/kubernetes-in-action-your-first-containerized-application/ LOCATION:Online ATTACH;FMTTYPE=image/jpeg:https://livingopensource.org/wp-content/uploads/2025/08/1-H-Ansible-Essentials-8-july-2025.jpg ORGANIZER;CN="Living Open Source Foundation":MAILTO:events@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20251014T180000 DTEND;TZID=Africa/Lusaka:20251014T190000 DTSTAMP:20260621T101646 CREATED:20251009T132926Z LAST-MODIFIED:20251009T150600Z UID:5578-1760464800-1760468400@livingopensource.org SUMMARY:SUSE Micro-OS in an hour DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/suse-micro-os-in-an-hour/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2025/10/1-SUSE-Micro-OS-in-an-hour-October-14th-2025-1.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:events@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20251020T180000 DTEND;TZID=Africa/Lusaka:20251020T190000 DTSTAMP:20260621T101646 CREATED:20251018T111321Z LAST-MODIFIED:20251018T114424Z UID:5623-1760983200-1760986800@livingopensource.org SUMMARY:Linux Performance in an hour DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/linux-performance-in-an-hour/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2025/10/1-Linux-Performance-October-20th2025-20251.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:events@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20251021T180000 DTEND;TZID=Africa/Lusaka:20251021T190000 DTSTAMP:20260621T101646 CREATED:20251009T150013Z LAST-MODIFIED:20251009T150013Z UID:5595-1761069600-1761073200@livingopensource.org SUMMARY:Deploy K3s On Micro-OS DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/deploy-k3s-on-micro-os/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2025/10/1-Deploy-K3s-on-Micro-OS.October-21st2025.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20251022T180000 DTEND;TZID=Africa/Lusaka:20251022T190000 DTSTAMP:20260621T101646 CREATED:20251010T080744Z LAST-MODIFIED:20251021T134106Z UID:5610-1761156000-1761159600@livingopensource.org SUMMARY:Automate Linux Tasks DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/automate-linux-tasks/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2025/10/1-Automate-Linux-Tasks-October-17th20252.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:events@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20251028T180000 DTEND;TZID=Africa/Lusaka:20251028T190000 DTSTAMP:20260621T101646 CREATED:20251009T151228Z LAST-MODIFIED:20251026T161748Z UID:5608-1761674400-1761678000@livingopensource.org SUMMARY:Deploy RKE2 On Micro-OS DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/deploy-rke2-on-micro-os/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2025/10/1-H-Deploy-RKE2-on-Micro-OSOctober-28th-1-2025-1.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20251127T180000 DTEND;TZID=Africa/Lusaka:20251127T190000 DTSTAMP:20260621T101646 CREATED:20251114T151317Z LAST-MODIFIED:20260106T002003Z UID:5666-1764266400-1764270000@livingopensource.org SUMMARY:Get Ready For LFCA DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/get-ready-for-lfca/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2025/11/1-LFCA-Prep-1.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20251210T180000 DTEND;TZID=Africa/Lusaka:20251210T190000 DTSTAMP:20260621T101646 CREATED:20251203T143956Z LAST-MODIFIED:20251203T144028Z UID:5675-1765389600-1765393200@livingopensource.org SUMMARY:LFCA PREPARATION PART 2 DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/lfca-preparation-part-2/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2025/12/1-LFCA-Prep-2-min.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20251219T180000 DTEND;TZID=Africa/Lusaka:20251219T190000 DTSTAMP:20260621T101646 CREATED:20251215T085001Z LAST-MODIFIED:20251215T085001Z UID:5695-1766167200-1766170800@livingopensource.org SUMMARY:LFCA PREPARATION PART 2 DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/lfca-preparation-part-2-2/ ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2025/12/1-LFCA-Prep-21-min.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20260123T180000 DTEND;TZID=Africa/Lusaka:20260123T190000 DTSTAMP:20260621T101646 CREATED:20260115T144656Z LAST-MODIFIED:20260115T144656Z UID:5727-1769191200-1769194800@livingopensource.org SUMMARY:LFCA Preparation Part 4 DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/lfca-preparation-part-4/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2026/01/1-LFCA-Prep-4-1.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20260130T180000 DTEND;TZID=Africa/Lusaka:20260130T190000 DTSTAMP:20260621T101646 CREATED:20260126T120553Z LAST-MODIFIED:20260130T103550Z UID:5733-1769796000-1769799600@livingopensource.org SUMMARY:LFCA PREPARATION PART 5 DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/5733/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2026/01/1-LFCA-Prep-5-3.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20260317T080000 DTEND;TZID=Africa/Lusaka:20260317T170000 DTSTAMP:20260621T101647 CREATED:20260225T011944Z LAST-MODIFIED:20260313T143204Z UID:5779-1773734400-1773766800@livingopensource.org SUMMARY:Hosting on-premises GenAI DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/hosting-on-premises-genai/ LOCATION:On-Site ATTACH;FMTTYPE=image/jpeg:https://livingopensource.org/wp-content/uploads/2026/02/Hosting-On-PREMISES-GEN-AI-1-1.jpg ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20260318T180000 DTEND;TZID=Africa/Lusaka:20260318T190000 DTSTAMP:20260621T101647 CREATED:20260223T064143Z LAST-MODIFIED:20260317T151023Z UID:5773-1773856800-1773860400@livingopensource.org SUMMARY:LFCA PREPARATION PART 6 DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/lfca-preparation-6/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2026/02/1-LFCA-Prep-6-51.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20260323T180000 DTEND;TZID=Africa/Lusaka:20260323T190000 DTSTAMP:20260621T101647 CREATED:20260321T173547Z LAST-MODIFIED:20260321T173547Z UID:5897-1774288800-1774292400@livingopensource.org SUMMARY:Linux Foundation Certified System Administrator (LFCS) Part 1 DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/linux-foundation-certified-system-administrator-lfcs-part-1/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2026/03/1-LFCA-Prep-6-61.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20260330T180000 DTEND;TZID=Africa/Lusaka:20260330T190000 DTSTAMP:20260621T101647 CREATED:20260321T201729Z LAST-MODIFIED:20260321T201729Z UID:5900-1774893600-1774897200@livingopensource.org SUMMARY:Linux Foundation Certified System Administrator (LFCS) Part 2 DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/linux-foundation-certified-system-administrator-lfcs-part-2/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2026/03/1-LFCA-Prep-6-71.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:events@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20260528T180000 DTEND;TZID=Africa/Lusaka:20260528T190000 DTSTAMP:20260621T101647 CREATED:20260526T142515Z LAST-MODIFIED:20260527T134011Z UID:5918-1779991200-1779994800@livingopensource.org SUMMARY:Linux Foundation Certified System Administrator (LFCS) Part 3 DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/linux-foundation-certified-system-administrator-lfcs-part-3/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2026/03/1-LFCS-PREP-31.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20260605T180000 DTEND;TZID=Africa/Lusaka:20260605T190000 DTSTAMP:20260621T101647 CREATED:20260526T145626Z LAST-MODIFIED:20260602T043130Z UID:5925-1780682400-1780686000@livingopensource.org SUMMARY:Introduction Series To Programming in Go - Part 1 of 3 DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/introduction-series-to-programming-in-go-part-1-of-3/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2026/05/1-PROGRAMMING3.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20260611T180000 DTEND;TZID=Africa/Lusaka:20260611T190000 DTSTAMP:20260621T101647 CREATED:20260526T145027Z LAST-MODIFIED:20260526T145027Z UID:5922-1781200800-1781204400@livingopensource.org SUMMARY:Introduction Series To Programming In Rust - Part 1 of 3 DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/introduction-series-to-programming-in-rust-part-1-of-3/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2026/05/1-PROGRAMMING2.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20260623T180000 DTEND;TZID=Africa/Lusaka:20260623T190000 DTSTAMP:20260621T101647 CREATED:20260619T105726Z LAST-MODIFIED:20260619T105726Z UID:5953-1782237600-1782241200@livingopensource.org SUMMARY:RHCSA IN ONE HOUR DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/rhcsa-in-one-hour/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2026/06/1-RHCSA1.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:events@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20260625T180000 DTEND;TZID=Africa/Lusaka:20260625T190000 DTSTAMP:20260621T101647 CREATED:20260618T172855Z LAST-MODIFIED:20260618T172855Z UID:5947-1782410400-1782414000@livingopensource.org SUMMARY:Linux Foundation Certified System Administrator (LFCS) Part 6 DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/linux-foundation-certified-system-administrator-lfcs-part-6/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2026/06/1-LFCS-PREP-6-1.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20260626T180000 DTEND;TZID=Africa/Lusaka:20260626T190000 DTSTAMP:20260621T101647 CREATED:20260618T172116Z LAST-MODIFIED:20260618T172116Z UID:5944-1782496800-1782500400@livingopensource.org SUMMARY:Go Fundamentals\, Part 2 Of 3 DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/go-fundamentals-part-2-of-3/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2026/06/1-Go-Fundamentals-part-2-of-31.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20260630T180000 DTEND;TZID=Africa/Lusaka:20260630T190000 DTSTAMP:20260621T101647 CREATED:20260619T113908Z LAST-MODIFIED:20260619T113908Z UID:5956-1782842400-1782846000@livingopensource.org SUMMARY:Introduction To Coding For Kids With Turtle Grove DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/introduction-to-coding-for-kids-with-turtle-grove/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2026/06/1-Go-Fundamentals-part-2-of-32.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20260702T180000 DTEND;TZID=Africa/Lusaka:20260702T190000 DTSTAMP:20260621T101647 CREATED:20260618T173427Z LAST-MODIFIED:20260618T173427Z UID:5950-1783015200-1783018800@livingopensource.org SUMMARY:Rust Fundamentals\, Part 2 Of 3 DESCRIPTION:« All Events | March 17 @ 8:00 am  – 5:00 pm \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Cloud AI is powerful. But it demands a stable internet\,  subscription fees\, and trust that your data stays private. For many organizations in Zambia and across the region\, those are not small assumptions. \n \n \n \n This training is the answer: A full-day hands-on session on March 17th\, where expert Linux and AI trainer Sander van Vugt shows you how to host a fully functional\, ChatGPT-like AI solution inside your own infrastructure. On your own hardware. Offline if needed. With your own documents built in. \n \n \n \n IS THIS FOR YOU? \n \n \n \n \n \n \n \n You work in IT and want to understand what hosting AI on your own infrastructure actually requires\n \n \n \n \n Your organization or institution has limited\, expensive\, or unreliable internet access\n \n \n \n \n You handle sensitive data that cannot or should not leave your premises\n \n \n \n \n You want to run AI on existing hardware\, without investing in expensive GPUs\n \n \n \n \n You are a Linux administrator looking to add AI hosting to your skillset\n \n \n \n \n You want to bring AI capabilities to communities or institutions that have no access to cloud services\n \n \n \n \n \n \n BY THE END OF THIS DAY\, YOU WILL BE ABLE TO: \n \n \n \n \n \n \n \n Explain the key components of a self-hosted GenAI setup\, including LLMs and inference engines\, so you can make informed decisions for your organization\n \n \n \n \n Run a working AI solution on low-end Linux hardware\, without a GPU and without an internet connection\, using llama.cpp\n \n \n \n \n Optimize a Linux system specifically for AI inference workloads\n \n \n \n \n Deploy an enterprise-grade AI solution using vLLM on Linux\n \n \n \n \n Connect your own internal documents to an AI model using RAG\, so the AI answers questions based on your organization's own data\n \n \n \n \n Run a scalable\, production-ready AI solution on top of Kubernetes\n \n \n \n \n \n \n \n WHY THIS MATTERS BEYOND THE DATA CENTER \n \n \n \n Living Open Source Foundation sponsors Cheeba Primary School in Mazabuka\, Zambia. The school has no library. Pupils have no reliable way to look things up\, explore topics\, or access knowledge beyond what their teachers can provide in the classroom. The solution covered in this training will be deployed at the school on low-end hardware\, with no internet connection required. Pupils will be able to ask questions and get answers\, in the same way anyone with a smartphone and a data plan can today. That is what on-premises AI makes possible. Attending this 1-day session on March 17th is free. But every donation made during the event by participants will directly contribute to making it happen. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n WHAT WE WILL COVER \n \n \n \n MORNING \n \n \n \n \n \n \n \n Understanding key components for hosting GenAI: LLMs and inference engines\n \n \n \n \n Hosting GenAI on low-end hardware without a GPU\n \n \n \n \n Optimizing Linux for AI inference workloads\n \n \n \n \n Running a hardware-friendly solution based on llama.cpp on Linux\n \n \n \n \n \n \n AFTERNOON \n \n \n \n \n \n \n \n Running an enterprise-friendly solution based on vLLM on Linux\n \n \n \n \n Including your own documents using RAG\n \n \n \n \n Running a scalable AI solution on top of Kubernetes\n \n \n \n \n How all of this helps forward schools in rural Zambia\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL DETAILS \n \n \n \n Date: Tuesday\, March 17thTime: 8 AM to 5 PM CATLocation: Online + Cavendish University\, LusakaPrice: Free \n \n \n \n \n \n REGISTRATION \n \n \n \n \n \n \n \n \n \n \n \n \n \n PREREQUISITES \n \n \n \n Participants should be comfortable working with Linux and able to configure it for common tasks. No AI-specific hardware is required\, though having a Linux system to follow along with the demos is strongly recommended. A standard installation of any Red Hat-based distribution or Ubuntu will work fine. \n \n \n \n ABOUT YOUR INSTRUCTOR \n \n \n \n \n Sander van VugtSander is a seasoned Linux trainer specializing in High Availability and Linux performance solutions. With 62 published books\, including bestsellers like the Red Hat RHCE/RHCSA Cert Guide\, and over 20 video courses\, he brings extensive expertise to his training. His approach combines academic knowledge with real-world consulting experience\, ensuring practical and cutting-edge Linux insights. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n FREQUENTLY ASKED QUESTIONS \n \n \n \n \n \n \n Can I become a member of Living Open Source Foundation?\n \n \n Yes please! We would love to welcome you to our community! Contact us at +260963542263 for details on the benefits and membership tiers. \n \n \n \n What hardware do I need to bring?\n \n \n A laptop or system running a Red Hat-based distribution or Ubuntu is strongly recommended to follow along with the demos. \n \n \n \n Do I need a GPU?\n \n \n No. The training specifically covers running AI on low-end hardware without a GPU. Don't know what that is? Just bring your laptop\, we'll probably can get it to work. \n \n \n \n Can my organization sponsor or donate hardware for the school deployment?\n \n \n That would be great. Please contact us at +260963542263 for the logistics. \n \n \n \n \n \n \n \n Start hosting your own genai \n \n \n \n Whether you are running a school with no library\, a clinic with sensitive patient records\, a business with unreliable connectivity\, or a government office that cannot send data abroad\, this training gives you the skills to make it work. \n \n \n \n \n \n Enroll Now URL:https://livingopensource.org/events/rust-fundamentals-part-2-of-3/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2026/06/1-Rust-Part-21.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT END:VCALENDAR