Every course runs the same six-week arc through the four domains of the OECD AI Literacy Framework, at a depth matched to age. Screens earn their place: Explorers learn entirely unplugged, and every digital activity in the older bands has an offline version.
Weeks 1–2 · Engage — recognise AI, describe it accurately, and judge its outputs against real sources.
Week 3 · Create — original idea first, tool second, with an honest record of what the human added.
Week 4 · Manage — decompose real tasks and decide deliberately what to delegate and what stays human.
Weeks 5–6 · Shape — investigate, evaluate and improve a system, ending in a showcase for families.
Puppets, stories, sorting games and craft. Children learn that machines follow patterns, people check facts, and imagination belongs to humans. Fully unplugged.
Training games with Khaleeji datasets, fact-check relays, the first disclosure log — I made, AI helped, I checked — and a design-a-fair-helper capstone.
Train and break a real classifier, verify claims three ways, debate real cases with a four-lens ethics check, and run a two-week co-creation studio.
How large language models actually work, structured audits, stakeholder mapping, policy drafting — and a venture pitch with a full disclosure statement.
Fully unplugged · all craft materials included
Disclosure log booklet · family bulletin
Supervised tool use · studio showcase
Venture capstone · pitch night · portfolio