Learn
Four courses with six lessons each. Pick the stage that fits your child.
Pick a stage
-
Explorers · ages 5 to 7
A1 Smart or Not?
Sort, spot and talk about smart helpers, with picture cards and no screens.
-
Builders · ages 7 to 9
A2 Teach a Machine
Show a machine examples, test it, and find out what happens when examples are unfair.
-
Creators · ages 9 to 11
A3 How Machines Learn
Split data, measure accuracy, spot fakes and decide when to trust an answer.
-
Coders · ages 11 to 14
A4 AI in Practice
Build and test a model in Python, find bias in data and argue about AI ethics.
The courses at a glance
All four courses use the same seven big ideas, a little deeper each time.
| Course | Stage | Length | Big question | Ends with | Status |
|---|---|---|---|---|---|
| A1 Smart or Not? | Explorers, ages 5 to 7 | 6 × 30 min | What can machines do, and what do people do better? | A smart helper poster with 3 safety rules | Ready to teach |
| A2 Teach a Machine | Builders, ages 7 to 9 | 6 × 40 min | How do we teach a machine by showing it examples? | A trained classifier and a fairness note | Lesson plans ready, classifier tool in development |
| A3 How Machines Learn | Creators, ages 9 to 11 | 6 × 45 min | How do we know if an AI is any good? | A mini AI project and a one-page “how it works and where it fails” | Lesson plans ready, classifier tool in development |
| A4 AI in Practice | Coders, ages 11 to 14 | 6 × 50 min | How do models predict, and who is responsible when they are wrong? | A model with a test report and a short reasoned argument on an AI issue | Lesson plans ready, Python tools in development |
Seven big ideas
Children meet each idea again every year, in more depth.
- People and machines are different. Computers follow rules or patterns; people understand, feel and choose.
- Data teaches machines. AI learns from examples, so the examples matter.
- Machines make mistakes. They can be confidently wrong, so we check.
- Fairness. If the examples leave people out, the AI can treat people unfairly.
- Privacy and safety. Our personal information is valuable; share it carefully.
- Humans stay in charge. People design, test, decide and take responsibility.
- Creating and crediting. AI can help us make things, but our own ideas, honesty and credit to others matter.
What is ready, and what is coming
Ready today
- Complete lesson plans for all four courses, to read online or print
- Step-by-step kids’ versions of all 24 lessons, with optional grown-up-led AI tests
- Parent accounts with child profiles, progress tracking and a downloadable report card
- The “Teach the machine” and “Keep it private” activities on the Try page
- The safety guidance for children, parents and teachers
In development
- The classifier tool for A2 and A3
- The Python data library for A4
- Printable card packs
- Class codes for teachers
