Sharing an AI Engineer Roadmap With a Partner
I've built a detailed roadmap to becoming an AI App Engineer — right down to the nitty-gritty — so beginners can get up to speed fast, grasp the big picture, and learn theory and practice side by side.
What's in the roadmap?
- 01FE/BE source code set
6 phases, 22 lessons — each with in-depth theory, best practices, and real runnable examples (both FE and BE).
- 02Markdown theory set
For those who just want text — read the theory, understand it, then build the practice yourself.
- 03Overview slide deck
See the big picture: what's out there, and what you need to learn.
The real architecture of an AI App
There's plenty of good stuff too: Prompt Engineering, Embeddings, RAG, Agents, Tools, Context, Chains, Routing… and the production side — Testing, Security, Cost Optimization, Fine-tuning.
Once I finished teaching, I saw a lot that could be done even better. So it's back to updating, slowly but surely 😅
