In this new hands-on workshop, Ed Donner and I (Jon Krohn) introduce AI agents, including multi-agent systems. All the essential theory of agentic AI is provided alongside hands-on code demos in Python that feature the critical agent frameworks: MCP, CrewAI and the OpenAI Agents SDK. From design considerations through to practical implementation tips, by completing all four modules in this video, you will have all the knowledge and skills needed to develop and deploy your own multi-agent teams.
The four modules are:
1. Defining Agents (with OpenAI Agents SDK)
2. Designing Agents (with CrewAI)
3. Deploying Agents (with MCP)
4. The Future of Agents
The accompanying slides and code are available in GitHub: github.com/ed-donner/action
Moroqa•6mo ago
I think Jon and Ed present good use cases and simple clarification for all tools. Thank you.
jonkrohn•6mo ago
Thank you, Moroqa :)
willwolf•6mo ago
Excited to dig into this!
jonkrohn•6mo ago
Looking forward to hearing your thoughts on it, Will... maybe there will even be something in it that you don't already know :)
stevewardaustin•6mo ago
Fantastic course. I'm about 2 hours in with the hands-on lab, using the OpenAI Agents SDK. John and Ed are fabulous technologists and communicators. Looking forward to finishing up the course. Indispensable if you want to jump start your knowledge of Agents.
jonkrohn•6mo ago
Thanks, Steve :)
amhk067•6mo ago
I watched it about a month ago. I truly enjoyed the workshop. It was very informative and fun. It's a great oppertunity to learn from the best experts of AI, one of the hot topics for free!
jonkrohn•6mo ago
The four modules are: 1. Defining Agents (with OpenAI Agents SDK) 2. Designing Agents (with CrewAI) 3. Deploying Agents (with MCP) 4. The Future of Agents
The accompanying slides and code are available in GitHub: github.com/ed-donner/action