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
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
I think Jon and Ed present good use cases and simple clarification for all tools. Thank you.