AI agents track
Build AI agents in Python.
A free hands-on PydanticAI course, honest framework comparisons with real code, and the best free courses from Hugging Face, Google, Microsoft, and others.
- Guides
- 7
- Courses
- 25
01
Start with the free course.
AI Agents with PydanticAI: tools, multi-agent patterns, memory, testing, and deployment with FastAPI, Redis, and Docker. 8 lessons, no signup.
Start lesson 102
Guides.
- 01LangChain vs LangGraph: Which One Should You Use?Same team, different layers. Side-by-side code for the same agent, the real differences in memory and human-in-the-loop, and a clear rule for when to use each.Comparison

- 02AI Agent Frameworks: Which One Should You Use in 2026?Eight frameworks that matter, checked against their official docs: language, abstraction level, license, and a "pick this if" rule for each. Plus hello-world code so you can feel the API before you commit.Guide

- 03Pydantic AI vs LangChain: Which Agent Framework Should You Use?The same agent in both frameworks, structured output and testing side by side, a dedicated section on Pydantic AI vs LangGraph, and a fair verdict on when each one wins.Comparison

- 04How to Build an MCP Server in Python (Step by Step)A complete, working MCP server with the official Python SDK: one file with tools, a resource and a prompt. Then test it in MCP Inspector, connect it to Claude Code and Claude Desktop, and call it from a PydanticAI agent.Guide

- 05LangGraph vs CrewAI: Which Multi-Agent Framework Should You Use?The same two-agent research → write pipeline in both frameworks, how state, persistence, and human approval differ, a quick CrewAI tutorial, and what happened to AutoGen.Comparison

- 06The Best Agentic AI Courses for Developers (2026)Sixteen AI agent courses for people who want to build agents, not just talk about them. Free options first, with certificate details for each one, picks for each framework, and an order to take them in.Best courses

- 07LangGraph Tutorial: Build a Stateful AI Agent in Python, Step by StepOne support agent, built up in six steps with LangGraph 1.x: a minimal graph, a hand-written ReAct loop with tools, memory with a checkpointer, human approval with interrupt(), and streaming. Then the prebuilt shortcut, Studio, and when LangGraph is the wrong tool.Guide

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CourseProviderPriceCertificateLevel
AI Agents CourseHugging FaceFreeFreeBeginnerFree · free certificate · BeginnerModel Context Protocol (MCP) CourseHugging Face (with Anthropic)FreeFreeIntermediateFree · free certificate · IntermediateAI Agents for BeginnersMicrosoftFreeNot statedBeginnerFree · certificate not stated · Beginner5-Day AI Agents Intensive Course with GoogleGoogle and KaggleFreeNot statedIntermediateFree · certificate not stated · IntermediateAgentic AIDeepLearning.AIFree + paidPaidIntermediateFree + paid · paid certificate · IntermediateAI Agents in LangGraphDeepLearning.AI (with LangChain and Tavily)FreePaidIntermediateFree · paid certificate · IntermediateMulti AI Agent Systems with crewAIDeepLearning.AI (with crewAI)FreePaidBeginnerFree · paid certificate · BeginnerMCP: Build Rich-Context AI Apps with AnthropicDeepLearning.AI (with Anthropic)FreePaidIntermediateFree · paid certificate · Intermediate