Microsoft’s Free Agent Course
Microsoft released a free GitHub course on building production‑ready AI agents, covering RAG, tools, multi‑agent systems, and design patterns meant to help engineers ship agentic features. The course is positioned as hands‑on training for turning ML prototypes into production systems. (x.com)
The GitHub repository for the course shows 55.6k stars, 19.2k forks and over 1,150 commits with recent activity noted two weeks ago. (github.com) The project's official microsite lists more than 50 language translations and provides sparse-checkout instructions so learners can clone the repo without downloading the translations folder. (microsoft.github.io) Course materials are built to run on Microsoft Agent Framework (MAF) and Azure AI Foundry Agent Service V2 and the site explicitly states an Azure account is required to execute the code samples. (microsoft.github.io) The repository structure names discrete lesson folders including 05-agentic-rag, 08-multi-agent, 09-metacognition, 10-ai-agents-production, 11-agentic-protocols and 13-agent-memory, indicating a modular lesson layout across agent design and runtime topics. (github.com) Included assets list a code_samples directory, multiple notebooks and a devcontainer configuration that was recently updated to pin Python to 3.12, alongside ongoing GitHub Actions and CI updates in the repo. (microsoft.github.io, github.com) The project invites community contribution via issues and pull requests and points learners to a dedicated Microsoft Foundry Discord channel for questions and discussion. (microsoft.github.io)
