Your course workspace
Leave with a working local lab and a clear, affordable route into the course.
For students
Your outcome: A private readiness card and one claim you checked yourself.
Files, templates and reference guides
Use the lab to determine which files to give your AI assistant. This list is a navigation aid, not permission to load every resource into a model.
- Mac, Linux and Windows lab guidePLATFORM_GUIDE.md
- Run the academyLAB_SETUP.md
- fixtures/setup-example.mjsfixtures/setup-example.mjs
- Product Studio — build something you want to existCOURSE_PROJECT.md
- Lab help — one step at a timeLAB_HELP.md
- My learning path — your private course companionLEARNING_PATH.md
- Twenty starting points for your Product StudioPROJECT_IDEAS.md
- Small models, serious work, modest budgetSMALL_MODEL_GUIDE.md
- Submit, review and improve your workSUBMISSIONS.md
- Session 00 — Setup, one step at a timewalkthroughs/00-course-setup.md
Homework and submission
Follow the homework in this session’s lab. Your course-long product is separate from practice exercises. Use the submission guide and your learning path to track the next step.
For instructors
Public teaching resources—not a private staff area. Keep learner records and individual feedback elsewhere. Answer keys and reviewer labels must stay out of the context of a model being evaluated.
- Session 00 — Your course workspacelessons/00-course-setup.md
- Instructor GuideINSTRUCTOR_GUIDE.md
Pre-open the lab, slides, required evidence and templates. Rehearse the demo and keep a clearly labeled fallback ready. Protect learner practice time; move unrelated setup troubleshooting into coaching.
Recordings and transcripts
Class recordings and transcripts are restricted to enrolled learners and authorized guests. They are not published on this public page. No protected replay is linked here yet; ask the instructor for authorized access. Private presentation reviews and individual feedback are not public teaching materials.