Build one real AI solution, document it like a professional, and submit it for marking.
Week 4 is not more theory. It is proof. You will take the community problem you circled in Module 1 and the pitch you built in Module 3, and turn them into a working, documented AI solution. Your Portfolio of Evidence (PoE) is worth 40% of your final mark and is the artifact you will show employers, clients and interviewers for the rest of your career.
Design and run an AI-assisted solution to a real community problem (water queue info, study group packs, clinic appointment reminders, local event promotion). Deliver: problem statement, workflow SOP, 3 produced artifacts, impact estimate, ethics checklist.
Launch one of the six AI micro-business models with a real first client or a realistic simulated client. Deliver: one-page offer, 3 client artifacts, pricing note, testimonial or feedback, disclosure statement.
Build an AI-powered study system for one of your real subjects/modules. Deliver: grounded note-AI workspace, 20-question self-test bank with explanations, 3 explainer videos or visual summaries, reflection on what improved your marks.
Automate one recurring task in your job or volunteer role end-to-end. Deliver: repetition map, 4-step workflow SOP, before/after time log over 2 weeks, training note so a colleague could repeat it.
| Criterion | Marks |
|---|---|
| Problem & audience clarity | 10 |
| Workflow design & checkpoints | 15 |
| Quality of the 3 artifacts | 20 |
| Ethics, privacy & disclosure | 10 |
| Measured or estimated impact | 10 |
| Reflection depth & honesty | 10 |
| Presentation & evidence index | 10 |
| Innovation / local relevance | 15 |
| Total | 40 |
AUTA_PoE_YourName_StudentNumber.zip · Deadline: Sunday of Week 4, 23:59 (your cohort's time zone) · Marked out of 40 within 7 working days; feedback by email and on your dashboard.