jonkrohn

Looking forward to hearing your thoughts on it, Will... maybe there will even be something in it that you don't already know :)

Thanks, Steve :)

Thank you, Moroqa :)

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

Chapter 12 of the book Deep Learning Illustrated is an introduction to Generative Adversarial Networks, so yes!

haha touché! While the blog post contains few illustrations, the book that it's based on, Deep Learning Illustrated, contains north of a hundred of them.

Hi! I'm the author of the Deep Learning Illustrated book that the blog post is based on.

One could alternatively fork the book's GitHub repo (https://github.com/the-deep-learners/deep-learning-illustrat...), which includes all of the code covered in the post.