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microsoft ai-agents-for-beginners

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microsoft · publisher68,657 repository starsMIT · Freegithub.com/microsoft/ai-agents-for-beginners
2skills
0ready to use

ai-agents-for-beginners is a 15-lesson course — agent use cases, agentic frameworks, design patterns such as tool use, agentic RAG, planning, multi-agent and metacognition, production concerns, the MCP/A2A/NLWeb protocols, context engineering, and computer-use agents — built around Microsoft Agent Framework and Azure AI Foundry Agent Service V2, with a video and code sample for each lesson and translations into 50+ languages via an automated GitHub Action.

What the repository indexes as skills has nothing to do with any of that: jupyter-notebook scaffolds a blank .ipynb from the course's bundled templates, and microsoft-docs looks up Microsoft Learn, falling back to Context7 or Aspire MCP for anything off learn.microsoft.com. Both are generic developer-tooling skills useful on any Microsoft-adjacent Python project — support for working through the course's code samples, not a demonstration of the patterns the lessons teach.

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The two descriptions we read are not in English. jupyter-notebook's description is written in Filipino/Tagalog and microsoft-docs's in Spanish, even though the repository's README and lesson text are English. We report them as captured rather than translating or normalizing them, per our rule against inventing content.

Neither skill needs an Azure account, even though the course itself does. jupyter-notebook runs as a local tool and microsoft-docs as a hosted MCP service — no account key between them — but the course material these two skills support is built on Microsoft Agent Framework with Azure AI Foundry Agent Service V2, which the README lists as requiring an Azure subscription, with MiniMax's OpenAI-compatible API as the only listed alternative for a subset of samples.

This is a page for someone working through Microsoft's course who wants a scaffolded notebook or a documentation lookup alongside it, not a place to find tool-use, planning or multi-agent code as a reusable skill — the course teaches those with Python in each lesson's own folder.

68,657Stars on the GitHub repository, at last check.