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:20230101T000000 END:STANDARD END:VTIMEZONE BEGIN:VTIMEZONE TZID:Europe/Helsinki BEGIN:DAYLIGHT TZOFFSETFROM:+0200 TZOFFSETTO:+0300 TZNAME:EEST DTSTART:20230326T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0300 TZOFFSETTO:+0200 TZNAME:EET DTSTART:20231029T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0200 TZOFFSETTO:+0300 TZNAME:EEST DTSTART:20240331T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0300 TZOFFSETTO:+0200 TZNAME:EET DTSTART:20241027T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0200 TZOFFSETTO:+0300 TZNAME:EEST DTSTART:20250330T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0300 TZOFFSETTO:+0200 TZNAME:EET DTSTART:20251026T010000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250805T180000 DTEND;TZID=Africa/Lusaka:20250805T190000 DTSTAMP:20260621T102400 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:20250804T180000 DTEND;TZID=Africa/Lusaka:20250804T190000 DTSTAMP:20260621T102400 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:20250801T180000 DTEND;TZID=Africa/Lusaka:20250801T190000 DTSTAMP:20260621T102400 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:20250731T180000 DTEND;TZID=Africa/Lusaka:20250731T200000 DTSTAMP:20260621T102400 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:20250728T180000 DTEND;TZID=Africa/Lusaka:20250728T190000 DTSTAMP:20260621T102400 CREATED:20250701T120924Z LAST-MODIFIED:20250721T072907Z UID:5460-1753725600-1753729200@livingopensource.org SUMMARY:RKE2 K8S 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/rke2-k8s-in-one-hour/ LOCATION:Online ATTACH;FMTTYPE=image/jpeg:https://livingopensource.org/wp-content/uploads/2025/07/1-H-Session-RKE2-K8S-in-One-Hour-july-28-2025.jpg ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250718T180000 DTEND;TZID=Africa/Lusaka:20250718T190000 DTSTAMP:20260621T102400 CREATED:20250701T122009Z LAST-MODIFIED:20250701T122009Z UID:5465-1752861600-1752865200@livingopensource.org SUMMARY:Ansible Essentials That Drive IT Efficiency 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/ansible-essentials-that-drive-it-efficiency/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2025/07/1-H-Ansible-Essentials-8-july-2025.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250709T180000 DTEND;TZID=Africa/Lusaka:20250709T190000 DTSTAMP:20260621T102400 CREATED:20250701T115657Z LAST-MODIFIED:20250701T115804Z UID:5454-1752084000-1752087600@livingopensource.org SUMMARY:Lightweight Kubernetes with K3s 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/lightweight-kubernetes-with-k3s/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2025/07/1-H-Session-Lightweight-Kubernetes-with-K3s-july-9-2025.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250630T180000 DTEND;TZID=Africa/Lusaka:20250630T190000 DTSTAMP:20260621T102400 CREATED:20250612T050449Z LAST-MODIFIED:20250620T143720Z UID:5433-1751306400-1751310000@livingopensource.org SUMMARY:Cilium CNI in K8S - One-stop-shop for K8s networking 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/cilium-cni-in-k8s-one-stop-shop-for-k8s-networking/ LOCATION:Online ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2025/06/1-H-Session-Cilium-CNI-in-K8S-june-20-2025.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250630T090000 DTEND;TZID=Africa/Lusaka:20250702T170000 DTSTAMP:20260621T102400 CREATED:20250423T145146Z LAST-MODIFIED:20250423T145930Z UID:5147-1751274000-1751475600@livingopensource.org SUMMARY:LOScon 2025 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/loscon-2025/ LOCATION:On-Site ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2025/04/Screenshot_20250423_165806.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:events@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250627T180000 DTEND;TZID=Africa/Lusaka:20250627T190000 DTSTAMP:20260621T102400 CREATED:20250530T030205Z LAST-MODIFIED:20250530T030313Z UID:5411-1751047200-1751050800@livingopensource.org SUMMARY:OpenShift AppDev for K8S CKADs 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/openshift-appdev-for-k8s-ckads/ LOCATION:Online ATTACH;FMTTYPE=image/jpeg:https://livingopensource.org/wp-content/uploads/2025/05/1-H-Session-OpenShift-Admin-for-K8S-CKAd-june-27-2025.jpg ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250626T180000 DTEND;TZID=Africa/Lusaka:20250626T190000 DTSTAMP:20260621T102400 CREATED:20250530T025016Z LAST-MODIFIED:20250612T050254Z UID:5407-1750960800-1750964400@livingopensource.org SUMMARY:OpenShift Admin for K8S CKAs 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/openshift-admin-for-k8s-ckas/ LOCATION:Online ATTACH;FMTTYPE=image/jpeg:https://livingopensource.org/wp-content/uploads/2025/05/1-H-Session-OpenShift-Admin-for-K8S-CKAs-june-26-2025.jpg ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250609T180000 DTEND;TZID=Africa/Lusaka:20250609T190000 DTSTAMP:20260621T102400 CREATED:20250529T015600Z LAST-MODIFIED:20250529T015600Z UID:5389-1749492000-1749495600@livingopensource.org SUMMARY:Getting GenAI in Production 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/getting-genai-in-production/ LOCATION:Online ATTACH;FMTTYPE=image/jpeg:https://livingopensource.org/wp-content/uploads/2025/05/1-H-Getting-GenAI-in-Production-June-9-2025.jpg ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250606T180000 DTEND;TZID=Africa/Lusaka:20250606T190000 DTSTAMP:20260621T102400 CREATED:20250530T023741Z LAST-MODIFIED:20250530T024112Z UID:5398-1749232800-1749236400@livingopensource.org SUMMARY:Alive and Ready: The 2025 guide to Kubernetes Container Health 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/alive-and-ready-the-2025-guide-to-kubernetes-container-health/ LOCATION:Online ATTACH;FMTTYPE=image/jpeg:https://livingopensource.org/wp-content/uploads/2025/05/1-H-Session-ALIVE-AND-READY-The-2025-guide-to-Kubernetes-Container-Health-june-6-2025.jpg ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250602T143000 DTEND;TZID=Africa/Lusaka:20250602T153000 DTSTAMP:20260621T102400 CREATED:20250523T014447Z LAST-MODIFIED:20250530T023154Z UID:5360-1748874600-1748878200@livingopensource.org SUMMARY:Linux Troubleshooting: Essential 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/linux-troubleshooting-essential-skills/ LOCATION:Online ATTACH;FMTTYPE=image/jpeg:https://livingopensource.org/wp-content/uploads/2025/05/1-H-Linux-Troubleshooting-Essential-Skills-June-2-2025.jpg ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250528T143000 DTEND;TZID=Africa/Lusaka:20250528T153000 DTSTAMP:20260621T102400 CREATED:20250523T013145Z LAST-MODIFIED:20250523T102942Z UID:5355-1748442600-1748446200@livingopensource.org SUMMARY:Live from San Francisco: What's New in RHCSA 10 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/whats-new-in-rhcsa-10/ LOCATION:Online ATTACH;FMTTYPE=image/jpeg:https://livingopensource.org/wp-content/uploads/2025/05/1-H-Session-whats-new-in-RHCSA-10-May-28-2025.jpg ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250526T180000 DTEND;TZID=Africa/Lusaka:20250526T190000 DTSTAMP:20260621T102400 CREATED:20250517T082019Z LAST-MODIFIED:20250517T083559Z UID:5330-1748282400-1748286000@livingopensource.org SUMMARY:Rust Challenge 1 - Gentle introduction to programming in Rust 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-challenge-1-gentle-introduction-to-programming-in-rust/ LOCATION:Online ATTACH;FMTTYPE=image/jpeg:https://livingopensource.org/wp-content/uploads/2025/05/1-H-Session-Rust-Challenge-1-May-26-2025.jpg ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250523T180000 DTEND;TZID=Africa/Lusaka:20250523T190000 DTSTAMP:20260621T102400 CREATED:20250507T120311Z LAST-MODIFIED:20250523T102832Z UID:5281-1748023200-1748026800@livingopensource.org SUMMARY:Red Hat Summit edition - What's New & What's Hot 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/red-hat-summit-edition-whats-new-whats-hot/ LOCATION:Online ATTACH;FMTTYPE=image/jpeg:https://livingopensource.org/wp-content/uploads/2025/05/1-H-Session-Red-Hat-Summit-edition-May-15-2025-.jpg ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250521T180000 DTEND;TZID=Africa/Lusaka:20250521T190000 DTSTAMP:20260621T102400 CREATED:20250517T081011Z LAST-MODIFIED:20250517T083614Z UID:5326-1747850400-1747854000@livingopensource.org SUMMARY:Go(ne) in 60 minutes - Go: when you can read it\, you can write it 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/gone-in-60-minutes-go-when-you-can-read-it-you-can-write-it/ LOCATION:Online ATTACH;FMTTYPE=image/jpeg:https://livingopensource.org/wp-content/uploads/2025/05/1-H-Session-Gone-in-60-minutes-May-21-2025.jpg ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250507T200000 DTEND;TZID=Africa/Lusaka:20250507T210000 DTSTAMP:20260621T102400 CREATED:20250425T101816Z LAST-MODIFIED:20250513T013547Z UID:5155-1746648000-1746651600@livingopensource.org SUMMARY:“IN ONE HOUR” SESSIONS with SANDER 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/5155/ LOCATION:On-Site ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2025/04/in-an-hour-session-banner-1.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250507T180000 DTEND;TZID=Africa/Lusaka:20250507T190000 DTSTAMP:20260621T102400 CREATED:20250507T035613Z LAST-MODIFIED:20250507T121215Z UID:5271-1746640800-1746644400@livingopensource.org SUMMARY:Containers in 1 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/containers-in-1-hour/ LOCATION:Online ATTACH;FMTTYPE=image/jpeg:https://livingopensource.org/wp-content/uploads/2025/05/1-H-Session-Containers-in-1-hour-May-7-2025-.jpg ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250317T073000 DTEND;TZID=Africa/Lusaka:20250319T043000 DTSTAMP:20260621T102400 CREATED:20250117T071236Z LAST-MODIFIED:20250117T074139Z UID:4990-1742196600-1742358600@livingopensource.org SUMMARY:LINUX | CONTAINERS | KUBERNETES FUNDAMENTALS TRAINING 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-containers-kubernetes-fundamentals-training/ LOCATION:On-Site ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2025/01/Living-Open-Source-F-4.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:events@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20250120T150000 DTEND;TZID=Africa/Lusaka:20250121T150000 DTSTAMP:20260621T102400 CREATED:20241223T102612Z LAST-MODIFIED:20250106T131940Z UID:4954-1737385200-1737471600@livingopensource.org SUMMARY:INTRODUCTION TO ANSIBLE COURSE 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-ansible-course/ LOCATION:On-Site ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2024/12/Introduction-to-Ansible-flyer-2.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20241205T140000 DTEND;TZID=Africa/Lusaka:20241206T180000 DTSTAMP:20260621T102400 CREATED:20241128T085108Z LAST-MODIFIED:20241202T142211Z UID:4947-1733407200-1733508000@livingopensource.org SUMMARY:ADVANCED LINUX TOPICS COURSE 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/advanced-linux-topics-course/ LOCATION:On-Site ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2024/11/Sanders-Courses.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:events@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20241111T140000 DTEND;TZID=Africa/Lusaka:20241112T190000 DTSTAMP:20260621T102400 CREATED:20241009T170848Z LAST-MODIFIED:20241010T111428Z UID:4778-1731333600-1731438000@livingopensource.org SUMMARY:Living Open Source Ansible Fundamentals 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/living-open-source-ansible-fundamentals/ LOCATION:On-Site ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2024/10/Living-Open-Source-Ansible.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Helsinki:20240812T100000 DTEND;TZID=Europe/Helsinki:20240812T120000 DTSTAMP:20260621T102400 CREATED:20240810T101457Z LAST-MODIFIED:20240810T104816Z UID:4461-1723456800-1723464000@livingopensource.org SUMMARY:Free Instructlab Course 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/free-instructlab-course/ LOCATION:On-Site ATTACH;FMTTYPE=image/jpeg:https://livingopensource.org/wp-content/uploads/2024/08/Free-InstructLab-Course-1.jpg ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=Africa/Lusaka:20240531T170000 DTEND;TZID=Africa/Lusaka:20240531T180000 DTSTAMP:20260621T102400 CREATED:20240527T105348Z LAST-MODIFIED:20240529T124718Z UID:4278-1717174800-1717178400@livingopensource.org SUMMARY:Introduction to Instructlab 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-instructlab/ LOCATION:On-Site CATEGORIES:Tutorial ATTACH;FMTTYPE=image/png:https://livingopensource.org/wp-content/uploads/2024/05/instructlab-banner-1.png ORGANIZER;CN="Living Open Source Foundation":MAILTO:info@livingopensource.org END:VEVENT END:VCALENDAR