The AI Edge · Course 1 of 3

You'reIn.

All five modules are below. Nothing is locked, nothing is timed, and nothing is due — watch them in any order.

Bookmark this page — it's yours to come back to. Work through them in order if you're starting cold, or jump straight to whichever one is currently ruining your afternoon.

Jump to a module

01Command line interfaces 02Linux command mastery 03Environments and Python 04Choosing and running models 05Git and GitHub
01

Command line interfaces

The terminal stops being scary in about forty minutes. Move around, chain commands, and stop reaching for the mouse.

02

Linux command mastery

Not a sysadmin course — the dozen concepts that explain why things break. Permissions, paths, processes, and where your files really live.

03

Environments and Python

The single biggest source of wasted time in this field. Virtual environments, dependency hell, and why pip install sometimes ruins your afternoon. Solved properly, once.

04

Choosing and running models

A real model on your own hardware — no API key, no bill, no one watching — and when to pay for the frontier instead. A cost decision before it's a capability decision, and most people get it backwards.

05

Git and GitHub

They're two separate things, and confusing them is why your first push fails. Commit, push, and end up with a repo you're willing to put on a résumé.

When you can do all five

There's no test and no certificate. But there is a way to know you're ready for what comes next — and it's these three commands. Module 5 covers the third one.

Can you run these without looking them up?

$ python -m venv .venv && source .venv/bin/activate

$ echo "ANTHROPIC_API_KEY=sk-..." > .env

$ git commit -m "first agent" && git push # to your own repo

That's the whole bar. If those three are muscle memory now, the plumbing did its job. Course 2 is where the agents actually live.

Agentic AI Fluency

Six modules on what agents actually cost, where they break, and how to build them anyway. Cells to agents, context engineering, RAG and knowledge graphs, the parallelism traps, LangGraph explained — plus a walkthrough of the Claude Certified Architect exam.

See Course 2 →

$197 founding price First 50 only, then $297 · 30-day refund

“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.

Stuck on something? drc@codesupreme.ai
I answer my own email. — Dr. C