Six modules. One teaching-ready portfolio.

A short welcome that frames the whole course around one question: if a student completed an assignment you care about with substantial AI assistance, what would you still know about their learning? It introduces the stance of grounded curiosity — neither hype nor panic, with skepticism treated as professional judgment — and previews the six cumulative modules that end in a teaching-ready portfolio. All you need to bring is one course and a willingness to make one defensible decision at a time.

A guided tour of the full course: why AI is a design problem rather than a panic, how the six modules build on each other (stance, diagnose, judge, build, communicate, sustain), and the artifact each one produces. It introduces the five frameworks used throughout — the AI Assessment Scale, TILT, the Safety Gap, Oracle/Tutor/Adversary, and the Equity and Ethics Audit — and the course's two standing commitments: equity is more than access, and design must survive changing tools. It closes with exactly where to start and what you do not need (no paid tools, no live sessions, no technical expertise).