For people who want to do it, not just watch it
Practitioner
Track
Most AI security courses teach you to recognize a list of vulnerability categories. This one is built to trace a real, verified incident end to end, rebuild the exact failure safely on your own machine, and ship the actual fix. No jargon walls, no hype: the same standard the channel already holds itself to, extended into something you build with your own hands.
Why this, not another cert
Built different, on purpose
Narrative, not a slide deck
Every module starts with a real case
Source-verified incidents, not bulleted vulnerability definitions. Competing programs teach categories — this teaches cases.
Agentic tools, not just adversarial ML
Built around what you actually run
MCP servers and coding agents are the fastest-growing attack surface right now, and most existing programs barely touch them.
Real infrastructure, every lab
Every lab runs a real script against a real isolated environment on your own machine — never a theoretical walkthrough you take on faith.
Field reports, not multiple choice
You submit what you built and broke. Scored against a real rubric, not a bank of quiz questions that don't match the labs.
Zero to practitioner
The road, step by step
Before security, before AI
What a model actually does, what security actually protects, and the one sentence where the two collide — no background assumed.
The vulnerability map
The ten specific ways that collision plays out in practice, one real case each.
How the systems actually work
Application architecture, agentic tools, infrastructure, governance, and where models actually come from — the context every deeper module needs.
Prove it, your way
Hands-on labs on your own machine, then a capstone: research and document a real incident yourself, in the channel's own format.