Learn

Four courses with six lessons each. Pick the stage that fits your child.

Pick a stage

  1. Explorers · ages 5 to 7

    A1 Smart or Not?

    Sort, spot and talk about smart helpers, with picture cards and no screens.

  2. Builders · ages 7 to 9

    A2 Teach a Machine

    Show a machine examples, test it, and find out what happens when examples are unfair.

  3. Creators · ages 9 to 11

    A3 How Machines Learn

    Split data, measure accuracy, spot fakes and decide when to trust an answer.

  4. 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.

CourseStageLengthBig questionEnds withStatus
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.

  1. People and machines are different. Computers follow rules or patterns; people understand, feel and choose.
  2. Data teaches machines. AI learns from examples, so the examples matter.
  3. Machines make mistakes. They can be confidently wrong, so we check.
  4. Fairness. If the examples leave people out, the AI can treat people unfairly.
  5. Privacy and safety. Our personal information is valuable; share it carefully.
  6. Humans stay in charge. People design, test, decide and take responsibility.
  7. 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