Four weeks, three modules, thirty lessons, three assessments and one Portfolio of Evidence. Total mark: 100%. Pass: 70%.
| Component | Weight | Format |
|---|---|---|
| Module 1 Assessment (10 MCQ) | 20% | Multiple-choice, online, 2 attempts |
| Module 2 Assessment (10 MCQ) | 20% | Multiple-choice, online, 2 attempts |
| Module 3 Assessment (11-question set, best 10 counted) | 20% | Multiple-choice, online, 2 attempts |
| Week 4 Portfolio of Evidence | 40% | Individual project with published rubric |
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.
The complete syllabus, scheme and PoE rubric in print-ready PDFs.
📄 Course handbookEnrolment takes two minutes. Lesson 1 takes twelve.
