AI Agents Roadmap 2026: 10 Free Courses in the Right Order

Most people learning AI agents start with LangChain, get lost in the first lesson, and quit. The fix isn't a better course. It's the order.

Here are 10 free courses from Microsoft, Hugging Face and LangChain, arranged in 4 stages that build on each other.

Stage 1: Basics

1. AI for Beginners (Microsoft): 12 weeks, 24 lessons with quizzes and labs. Neural networks, computer vision, language, AI ethics. https://github.com/microsoft/AI-For-Beginners
2. Generative AI for Beginners (Microsoft): 21 lessons on prompt engineering, calling LLMs from code, and building chat and search apps. https://github.com/microsoft/generative-ai-for-beginners

Stage 2: Agents

1. AI Agents for Beginners (Microsoft): tool use, planning, multi-agent systems, memory, agentic RAG, security and agents in production. https://github.com/microsoft/ai-agents-for-beginners
2. MCP for Beginners (Microsoft): 13 modules on the Model Context Protocol. You build your own MCP server and client. https://github.com/microsoft/mcp-for-beginners
3. Hugging Face MCP Course (built with Anthropic): MCP end to end, with a fundamentals certificate. https://huggingface.co/learn/mcp-course/unit0/introduction

Stage 3: Frameworks

1. LangChain Essentials: 18 lessons, about 1 hour. https://academy.langchain.com/courses/langchain-essentials-python
2. LangGraph Essentials: 13 lessons, about 1 hour, including human-in-the-loop approval. https://academy.langchain.com/courses/langgraph-essentials-python
3. Introduction to LangChain: 30 lessons, about 1.5 hours, from your first agent to multi-agent systems. https://academy.langchain.com/courses/foundation-introduction-to-langchain-python

Stage 4: Build

1. Introduction to LangGraph: 55 lessons, about 6 hours. Memory, human-in-the-loop, deployment. https://academy.langchain.com/courses/intro-to-langgraph
2. Hugging Face AI Agents Course: smolagents, LlamaIndex and LangGraph, with a final project where you create, test and certify your own agent. https://huggingface.co/learn/agents-course/unit0/introduction

How long does it take?

My rough estimate at one hour a day: stages 1 and 2 take about three weeks, stage 3 about one week, and stage 4 another three to four weeks. Roughly two months from zero to your own agent.

Two tips before you start

1. Don't collect courses. Finish one stage and build something small before moving on.
2. Keep your first agent boring. An agent that reads your email and drafts replies teaches you more than a fancy multi-agent demo you never finish.

All courses are free to access at the linked sources; some labs may need a free account or your own API key.

Which stage are you at right now? Tell me in the comments.

Originally published at radhakishan404.is-a.dev.