AI Engineering Course

This repository contains the code and content for a course about building AI applications.

About Me

• https://winder.ai, phil@winder.ai, https://linkedin.com/in/drphilwinder, https://github.com/philwinder
• I like making things, but I really like making beer (I promise this is relevant!).
• Background: PhD in Electronics, 12 years since I started Winder.AI.
• Currently working on:
  • RL for automated pricing
  • Open Source Code Index for AI's (https://github.com/helixml/kodit)
  • On-Premise AI Platform (https://helix.ml)
  • And for the past 4 weeks, this!

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Why This Course? Why Now?

• My perspective
• Why you should care

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Scope

This is course is not:

• About using coding assistants, although we will use them extensively.
• About training AI models, although we will touch upon it.
• About statistics or advanced software engineering, although they do help.

This is:

• About how to use large language models in your applications.
• Everything that is not "normal" software engineering.

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Workshop Structure

• Teach by showing, not telling.
• Overarching theme to develop a useful, business-like AI application.
• Introduce ideas and concepts gradually and incorporate them into the application.
• Split into 4 sections. Progress through complexity gradually.
• Start easy to bring everyone up-to-speed.

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Course Content

• https://github.com/winderai/ai-engineering-course/

git clone https://github.com/winderai/ai-engineering-course

You do not NEED this to enjoy the day. I will present everything. Some people like to listen, some people like to tinker. Either is fine.

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Share Your Goals Now, Not At The End

I will be happy if:

1. You are happy.
2. You know more than you did when you walked in.
3. You think of me when someone asks you: "Do you know a good AI practitioner?"

• What would make you walk away happy today?
• What can I do to help you achieve that?

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Further Reading

• Winder.AI
• Helix.ml
• Kodit
• Reinforcement Learning (O'Reilly, Phil Winder) https://rl-book.com/
• AI Engineering (O'Reilly, Chip Huyen) https://www.oreilly.com/library/view/ai-engineering/9781098166298/
• Agentic Design Patterns (Antonio Gulli) https://docs.google.com/document/d/1rsaK53T3Lg5KoGwvf8ukOUvbELRtH-V0LnOIFDxBryE/edit
• Context Engineering (Jason Liu) https://jxnl.co/writing/2025/08/28/context-engineering-index

TODO

• If time, add a demo showing how to prototype agents with Claude code. See here for an example: https://jxnl.co/writing/2025/09/04/context-engineering-rapid-agent-prototyping/