Overview
The course ends the way real work does: you ship something. Over three sessions you will design, build, and present a project that uses AI meaningfully (a study aid, a creative piece, or a productivity workflow) and report honestly on what the AI contributed, where it failed, and any ethical issues that came up.
Wherever it makes sense, put the result somewhere it will outlive the course: a repository, a page on the open web, a file you keep. The point of the capstone is not a grade. It is the first artifact you own outright.
Learning objectives
- Scope an achievable AI-assisted project and carry it to completion.
- Apply tools from across the course: writing, media, data, research, automation.
- Evaluate and report the AI's contribution, its errors, and ethical implications.
- Present your work clearly in a short talk with a live demo or artifact.
- Publish or archive the result somewhere you control, so the work stays yours.
Session agenda
- Session 1Design workshop
Pitch your idea, get feedback, lock your scope, and start building with support on hand.
- Session 2Build & feedback
Open studio: build, hit problems, get unstuck. Mid-point check-in with a peer review pass.
- BetweenFinish the build
Leave a gap of a week or more here. Capstones need time away from the room.
- Session 3Showcase
Final presentations: 5 minutes each: what you made, what the AI did well and badly, and what you would do next.
Materials
- Your project idea paragraph from the Module 7 homework.
- Any tools from the course, plus anything new you want to try.
- Presentation template (provided) for the final talk.
Homework
Complete your capstone project and prepare your 5-minute presentation, including an honest assessment of the AI's contribution and any ethical implications that arose.
Detailed slides, lab worksheets, and demos for this module are in progress and will be posted here as they are written.