This project provides an 18-lesson educational course for developers and beginners to learn the fundamentals of building AI Agents. The curriculum includes written guides, videos, and Python code samples using Microsoft Agent Framework with Microsoft Foundry.
Project overview
It offers a structured curriculum covering 18 distinct AI agent topics ranging from introductory design patterns to production deployment, supplementing written guides with Python code.
Project type
MCP · AI Agent · RAG · Learning Resources
Use cases
Knowledge Q&A · Automation · Learning & Education
Deployment
Refer to project documentation
License
MIT
Best for
Developers, educators, and general users starting their education on AI agent fundamentals.
Learners who benefit from a mix of written guides, videos, and Python code samples.
Key capabilities
A structured course covering 18 distinct topics related to building AI agents, including introductions, design patterns, RAG, and production deployment.
Python code examples built using Microsoft Agent Framework with Microsoft Foundry.
Limitations and risks
The repository includes 50+ language translations which significantly increase the download size.
GPU, data boundary, cost dependencies, coding requirements, and telemetry are not documented.
Getting started
Setup difficulty, first success paths, hardware requirements, and external services are not documented for this tutorial.
Evidence and sources
GitHub project description: 18 Lessons to Get Started Building AI Agents
README: A course teaching everything you need to know to start building AI Agents
README: This course has lessons covering the fundamentals of building AI Agents.
README: This repository includes 50+ language translations which significantly increases the download size.
README: The code examples in these exercises utilize Microsoft Agent Framework with Microsoft Foundry Agent Service V2: - [Microsoft Foundry](https://aka.ms/ai-agents-beginners/ai-foundry…