Azure User Group Sweden: Run AI on Your Device: Getting Started with Microsoft Foundry Local

Register on Meetup at Azure User Group Sweden https://www.meetup.com/azureusergroup... About Session: What if you could ship AI features inside your app with no Azure subscription, no per-token charges, and no data leaving the device? In this session, we'll explore 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗼𝘂𝗻𝗱𝗿𝘆 𝗟𝗼𝗰𝗮𝗹 — an open-source, ~20 MB runtime that embeds directly in your application and runs models like Phi-4, Qwen 2.5, and DeepSeek-R1 locally on Windows, macOS, and Linux. 𝘞𝘦'𝘭𝘭 𝘤𝘰𝘷𝘦𝘳 𝘵𝘩𝘦 𝘞𝘩𝘢𝘵, 𝘞𝘩𝘺, 𝘢𝘯𝘥 𝘏𝘰𝘸 𝘪𝘯 𝘵𝘩𝘪𝘴 𝘴𝘦𝘴𝘴𝘪𝘰𝘯: • What it is: architecture, the curated model catalog, and how it differs from Azure AI Foundry • Why it matters: privacy-first AI, offline scenarios, zero inference cost, and edge/desktop use cases • How to build with it: 4 live Python demos — streaming chat, multi-turn conversations, tool-calling agents, and OpenAI SDK compatibility (drop-in replacement, no code rewrite) You'll see everything run live, locally, on a real Windows 11 machine — no cloud calls, no API keys, no surprises. 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀: • Understand when to use on-device AI vs cloud AI (and when to combine both) • Know how to set up Foundry Local on CPU-only and GPU machines • Leave with working Python demo code you can adapt immediately About Speaker: Siddhesh Prabhugaonkar is a Microsoft Certified Trainer, instructor at Pluralsight, and GenAI Enablement Consultant at Atmosera, with a strong focus on AI, Generative AI, and Agentic AI on the Microsoft platform. He is an active global speaker who regularly presents at community and industry events, sharing practical insights on building real-world AI solutions. He has participated in global AI community initiatives and spoken at events including the Microsoft AI Tour for Partners, Global Power Platform & Agent Bootcamp, Azure Back to School, the Azure Developer Community, and the Mumbai User Group. His sessions cover Azure, Foundry, Copilot, GitHub Copilot and agentic AI systems. His work centers on helping developers and organizations move from traditional AI patterns to autonomous, agent-driven systems that integrate seamlessly into enterprise workflows. Known for his clear, experience-driven approach, Siddhesh focuses on cutting through hype and demonstrating how AI and agentic architectures can be applied effectively in real production scenarios.