The AI Edge · Course 2 of 3
You'reIn.
Thanks for buying. All three sessions are below — yours permanently, including any updates.
Bookmark this page. Work through them in order the first time — the arguments build on each other — then come back to whichever one you need.
Agentic AI origins
The historical arc: how we got from neurons to neural nets to expert systems to autonomous systems, and what that history predicts about what breaks next.
Agentic patterns and their costs
Architectures worth knowing and what each one buys you. Context engineering, RAG and knowledge graphs, and where parallel fan-out burns 5× the tokens for 1.2× the result.
The CCA exam — a guide to agentic development
Agentic patterns and anti-patterns — what not to do — with examples you can run, plus a walkthrough of the Claude Certified Architect exam and the honest case for skipping it.
What's next
Course 3 is CCA Exam Prep — where every claim in Session 3 gets measured. Real cost curves across models, context sizes, and agent designs, run on my own hardware, with the graphs to prove it.
It's in production now. You'll get an email when it opens, and buyers of this course get first access.
“Nothing is a mistake. There's no win and no fail. There's only make.” Sister Corita Kent, Rule 6 — by way of John Cage. Every module ends in something you built and pushed.
Questions, or something not working? drc@codesupreme.ai
I answer my own email. — Dr. C