AI Engineer Agentic Track: The Complete Agent & MCP Course

Master AI Agents in 30 days: build 8 real-world projects with OpenAI Agents SDK, CrewAI, LangGraph, AutoGen and MCP.

4.7 ★★★★★167,260 studentsCreated by Ed Donner, LigencyLast updated Dec 5, 2025🌐 English

What you'll learn

✓Project 1: Career Digital Twin. Build and deploy your own Agent to represent you to potential future employers.

✓Project 2: SDR Agent. An instant business application: create Sales Representatives that craft and send professional emails .

✓Project 3: Deep Research. Make your own version of the essential Agentic use case: a team of Agents that carry out extensive research on any topic you choose.

✓Project 4: Build a Stock Picker Agent in minutes with CrewAI—automate your search for investment gems!

✓Project 5: Deploy your own 4-Agent Engineering Team—manage, build, and test software apps with CrewAI and Coder Agents in Docker!

✓Project 6: Build your own version of OpenAI’s Operator Agent—your Sidekick works with you inside your browser via LangGraph!

✓Project 7: Agent Creator—an Agent that builds and launches new Agents using AutoGen, unlocking endless AI possibilities!

✓Project 8: Capstone—build a Trading Floor with 4 Agents making autonomous trades, powered by 6 MCP servers and 44 tools!

Requirements

•While it’s ideal if you can code in Python and have some experience working with LLMs, this course is designed for a very wide audience, regardless of background. I’ve included a whole folder of self-study labs that cover foundational technical and programming skills. If you’re new to coding, there’s only one requirement: plenty of patience!

•The course runs best if you have a small budget for APIs, but it’s totally your choice. You can complete the entire course with no API spend. If you do wish to use frontier models, the typical spend would be under $5. You can choose to access more capabilities if you’re comfortable spending a little more.