12 CHAPTERS TOAI ENGINEER.
The full application layer across 5 blocks. 12 chapters. Every chapter maps to a real interview question or something I use on the job. Videos drop periodically as the roadmap progresses. You can follow along or you can start now with the free resources online.
Roadmap Overview
Understand how to use this roadmap, the prerequisite mindset, and other helpful context.
LLM Basics
Give the viewer a complete mental model of what an LLM is before they touch any code.
Controlling LLM Behaviour
Teach the two core skills for controlling LLM behaviour — prompt engineering and context engineering.
Harness Engineering
Teach how to build the full system around an LLM — the tools, databases, retrieval systems, agent loops, and protocols that make an LLM actually useful in production.
Production
Take everything built so far from a working demo to a monitored, deployed, production-grade system.
Safety & Ethics
Teach how to make AI systems safe, fair, and production-trustworthy.
THE VIDEOS DROP ON YOUTUBE.
The chapters are all here already. No email list; subscribing is the notification system.
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