Courses
← Home5 courses in AI for Kids
Y4: AI Science-Fair Project (Capstone)
Your young-maker capstone: design and run a REAL science-fair project that uses AI honestly, from your first question to your final presentation. You'll follow the scientific method like real scientists do — pick a question AI can help answer, research and cite your background, write a hypothesis you can actually test, plan an experiment with strong data ethics (consent, privacy, never any personal data), then build the AI part (a Google Teachable Machine model you train yourself, or careful AI-assisted analysis). You'll measure your results honestly — including the times the model gets it wrong — check your project for bias and limits, and build a poster and a talk that cite every source. Every step ties back to what you learned in F3 and Y1–Y3, and every claim here is tied to a real, trustworthy source you can open and check.
Free
Y3: Creative AI — Art, Music & Stories, Responsibly
Generative AI can help you draw, compose, and write — but the interesting questions aren't technical, they're about credit, honesty, and respect. This course is for teens who want to actually *make* things with AI tools and do it right. You'll learn, in plain words, how AI generates images, music, and text by learning patterns from huge piles of human-made work; how to prompt and direct it like a creative collaborator instead of a vending machine; and how to keep your own voice instead of handing it over. Then we go straight at the hard stuff: whose art trained the model and why that matters, copyright and what AI-made work can (and can't) own, how to give credit and be honest you used AI, deepfakes and consent, and bias in what AI generates. You'll finish by making something genuinely original *with* AI — and labeling it honestly. Every key idea is tied to a real source you can open and check.
Free
Y2: Robotics + AI
You already know a robot can sense, think, and act — and that AI learns patterns from examples. This course puts those two ideas together. What actually changes when a robot's "think" step is powered by AI that *learned* instead of rules someone typed in? We'll see how a robot "sees" with computer vision, hears with sound recognition, and drives itself (delivery bots, self-driving features, NASA's Mars rovers). You'll learn the difference between programmed rules and learned behavior, train a real model by example, and combine sensors with AI. Because a robot acts in the real world, we take safety seriously: when should a robot stop and ask a human? We'll also think honestly about automation, jobs, and fairness. Then you'll plan a build using a free, no-purchase tool. Everything is tied to a real source you can open and check.
Free
Train Your Own Model
Machines don't learn by magic — they learn from EXAMPLES. In this hands-on course you'll go from "how does that even work?" to training your very own AI model in your web browser, no coding and no account needed. You'll learn the real words that makers use — features, labels, training data, accuracy, bias, and overfitting — and you'll see the single most important rule in machine learning: garbage in, garbage out. Your examples decide how good (and how fair) your model turns out. Using Google's free Teachable Machine, you'll teach a computer to tell two things apart, test how well it learned, and figure out how to make it better. Along the way we'll talk about where this shows up in real life, how models pick up our mistakes, and how to be honest and responsible with what you build. Every big idea is explained in plain words and tied to a real source you can check.
Free
Young Makers: AI for Kids
A friendly first look at artificial intelligence — for curious kids. What is AI, really? (Hint: it's a pattern-learner, not magic, and not alive.) How do computers "learn" from examples? How do you ask an AI helper a good question — and why must you always check its answers, because AI can be wrong? We'll talk about fairness, keeping your secrets private, and being kind and honest with AI (use it to learn, never to cheat). Then we'll make something fun together with a grown-up. Every big idea is explained in plain words and tied to a real, trustworthy source you can check.
Free