6 week journey to code and deploy AI Agents with OpenAI Agents SDK, CrewAI, LangGraph, AutoGen and MCP
If you're looking at this in Cursor, please right click on the filename in the Explorer on the left, and select "Open preview", to view the formatted version.
I couldn't be more excited to welcome you! This is the start of your 6 week adventure into the powerful, astonishing and often surreal world of Agentic AI.
I'm here to help you be most successful! Please do reach out if I can help, either in the platform or by emailing me direct (ed@edwarddonner.com). It's always great to connect with people on LinkedIn to build up the community - you'll find me here:
https://www.linkedin.com/in/eddonner/
And this is new to me, but I'm also trying out X/Twitter at @edwarddonner - if you're on X, please show me how it's done 😂
Perhaps famous last words: but I really, truly hope that I've put together an environment that will be not too horrific to set up!
Any problems, please do contact me.
- There are two ways that you can work on the CrewAI project in week 3. Either review the code for each project while I build it, and then do
crewai run
to see it in action. Or if you prefer to be more hands-on, then create your own Crew project from scratch to mirror mine; for example, createmy_debate
to go alongsidedebate
, and write the code alongside me. Either approach works! - It's possible that you will need to run this command in a Cursor Terminal in order to run the Crew commands:
uv tool install crewai
- Windows users: there's a new issue that was recently introduced by one of Crew's libraries. Until this is fixed, you might get a "unicode" error when you try to run
crewai create crew
. If that happens, please try running this command in the Terminal first:$env:PYTHONUTF8 = "1"
- The course resources with videos
- Many essential guides in the guides section
- The troubleshooting notebook
This course does involve making calls to OpenAI and other frontier models, requiring an API key and a small spend, which we set up in the SETUP instructions. If you'd prefer not to spend on API calls, there are cheaper alternatives like DeepSeek and free alternatives like using Ollama!
Details are here.
Be sure to monitor your API costs to ensure you are totally happy with any spend. For OpenAI, the dashboard is here.
Be sure to have fun with the course! You could not have picked a better time to be learning about Agentic AI. I hope you enjoy every single minute! And if you get stuck at any point - contact me.