KIDS COURSE · 6–9 years · Self-paced learning · beginner

AI Foundations for Kids

An introduction to how AI sees, hears, thinks and creates, using interactive games, offline activities and practical projects.

30 interactive sessions · 45–60 minutes each
COURSE OVERVIEW

What learners explore

An introduction to how AI sees, hears, thinks and creates, using interactive games, offline activities and practical projects.

Detailed curriculum overview

How AI sees

  • Explore how computers can work with pictures and visual patterns
  • Try guided visual-recognition activities

How AI hears

  • Discover how speech and sound can be represented for computers
  • Explore listening and voice-based examples

How AI thinks

  • Introduce patterns, examples and simple machine-learning ideas
  • Use games to practise sorting, prediction and logical thinking

How AI creates

  • Explore how AI can help create text, pictures and ideas
  • Make choices and guide a creative result

Games and offline activities

  • Practise concepts through hands-on games
  • Use unplugged activities to explore patterns and instructions

Small real-world projects

  • Apply ideas in age-appropriate activities
  • Review what the tool did and what a person decided
This curriculum guide summarizes Tinycapes’ public course description. Self-paced lessons, exact module sequences, access and current availability are managed by Tinycapes and may change; use the provider link above for its latest details.

How this course is delivered

This is listed by Tinycapes as a self-paced online course. Fuel | The Academy is providing a course guide and link to the Tinycapes course page; local delivery or a Fuel batch is not implied.

Who is it for?

This program is intended for children aged 6–9 years. Check the course level and Tinycapes’ current course page to confirm suitability for your child.

Future career paths to explore

These are longer-term possibilities the skills can help introduce. They are not jobs for children or a promise of employment.

  • Future pathway: AI or machine-learning practitioner
  • Future pathway: data and pattern analyst
  • Future pathway: technology researcher

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