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Other12 lessons, self paced, roughly 15 to 25 hours if you run the code·Free, open source on GitHub

AI Agents for Beginners (Microsoft)

4.3

A genuinely useful free course that gets you from what is an agent to running real agent code fast, with the honest caveat that it is a Microsoft shop window as much as a course, so a good chunk of the hands on work funnels you toward Azure AI Foundry and the Microsoft Agent Framework.

What We Liked

  • Completely free and open source, with each lesson self contained so you can start anywhere
  • Covers the concepts that actually matter now, tool use, planning, multi agent patterns, memory and agentic RAG
  • Runnable Python code samples per lesson, not just slides and theory
  • Multi language translations and an active Discord make it easy to get unstuck

What Could Be Better

  • Heavily tied to the Microsoft Agent Framework and Azure AI Foundry, so it is less framework neutral than it first looks
  • You need to bring your own Python and some LLM basics, it is beginner for agents but not beginner for coding
  • Setting up keys and Azure services is the usual fiddly part and can stall you early
  • Being a fast moving GitHub repo, individual lessons and samples drift and occasionally break between updates

Detailed review

Microsoft has quietly become one of the most reliable publishers of free technical curricula on GitHub, and AI Agents for Beginners sits alongside their Generative AI for Beginners as a sensible place to start. The structure is the same proven formula, twelve short lessons, each with a written README you can read in a browser, a companion video if you prefer to watch, and code samples you can actually run. What I like is that it does not waste your time relitigating what a large language model is before getting to the point. Within the first couple of lessons you are looking at what separates an agent from a plain chat completion, then it moves through the topics that genuinely matter in 2026, agentic design patterns, tool use, building trustworthy agents, planning, multi agent systems, memory, and agentic retrieval.

That is the right syllabus, and it mirrors what you would actually reach for building something real. The honest thing to flag is the commercial gravity. This is free, but it is not disinterested. The code samples lean on the Microsoft Agent Framework and Azure AI Foundry, and while the ideas are portable, the muscle memory you build is Microsoft's stack.

That is not a criticism so much as a label you should read before you buy, or in this case before you clone. If your job is on Azure, that alignment is a bonus and you should probably start here. If you are cloud agnostic or already invested in LangGraph, CrewAI or the OpenAI SDK, treat the concepts as the value and mentally translate the implementation. A second caveat, the beginner in the title is about agents, not about programming.

You will have a much better time if you are comfortable with Python, virtual environments and API keys, because the setup friction of wiring up model access is where most people actually get stuck, not the agent theory. And as with any living repository, expect the occasional broken sample or shifted API between updates, which is the price of content that stays current rather than freezing in place. Weighed up, it is an easy recommendation for the price, which is nothing. Work through it for the mental models, build one small agent of your own as you go so the lessons stick, and do not mistake fluency in one framework for understanding of the field.

Combine it with a non Microsoft resource and you get the best of both, the polish of a big vendor course and the breadth of not being married to a single ecosystem.

[ final ]

The verdict.

One of the better free routes into agents if you already write a bit of Python and want to build rather than just read. Go in knowing you are learning the Microsoft way of doing agents, take the concepts as transferable and the specific SDK as one option among several, and pair it with Hugging Face's agents course if you want a second perspective that is not tied to one cloud.