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AI Agents For Beginners

AI Agents For Beginners is a public, MIT-licensed GitHub course containing 18 Jupyter Notebook-based lessons on building AI agents. It combines foundational explanations, code examples and framework-oriented material covering agentic RAG, AutoGen, Semantic Kernel, Microsoft Foundry and Foundry Local.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

AI Agents For Beginners — OpenViST project profile in Agent Frameworks.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want a structured introduction to AI-agent development and need examples spanning multiple documented frameworks and Microsoft Foundry-related tools.

Who it is for

  • Developers starting with AI-agent development
  • Learners seeking notebook-based tutorials
  • Practitioners exploring AutoGen or Semantic Kernel
  • Readers interested in Microsoft Foundry-oriented agent materials

Documented uses

  • Learn core concepts involved in building AI agents
  • Study agentic RAG through guided lessons
  • Explore AI-agent development with AutoGen and Semantic Kernel
  • Review Foundry and Foundry Local learning materials
  • Use code examples as a starting point for hands-on study
Before you choose

Requirements & limits

The repository is publicly accessible on GitHub and is identified as MIT-licensed. The README provides cloning instructions and code examples in the repository's code_samples folder.

  • Choose it for learning material rather than a hosted agent runtime or ready-made application.
  • Its 18 lessons cover multiple ecosystems, which is useful for comparison but may require selecting the framework relevant to your project.
  • Jupyter Notebook is identified as the primary language, so the learning experience is centered on notebooks and accompanying code examples.
  • The repository includes more than 50 language translations; sparse checkout can exclude translation directories when a smaller local download is preferred.
  • The README says lessons can be started wherever you like, supporting topic-driven study.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Clone a smaller local copy of the course

Obtain the course repository while excluding its translation directories.

Before you start

  • Git
  • A Bash-compatible terminal on macOS or Linux, or Windows CMD
  • The repository URL

Steps

  1. Clone the repository with Git's blob filtering and sparse-checkout options.

  2. Change into the ai-agents-for-beginners directory.

  3. Set sparse checkout to include the repository contents while excluding translations and translated_images.

Expected outcome

A local copy containing the course materials without the translation directories.

Guide limitations

  • This procedure addresses repository download only; it does not document installation of lesson dependencies or execution of the notebooks.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
2 October 2026
Original website title
microsoft/ai-agents-for-beginners · Official homepage title · retained in its source language
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