Thinking...
LittleAIMaster
Thinking...
LittleAIMaster
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Grade 9 (ages 14-15) opens the high-school track with deep learning: 9 topics and 60 gamified stages covering convolutional neural networks, how models are trained, loss functions and optimization, overfitting, and transfer learning. The first 3 chapters are free; full access is part of the AI Scientist plan at $11.67/mo (billed annually at $139.99/yr).
Grade 9 is where AI gets quantitative. Students learn how convolutional neural networks see images, why models overfit or underfit, and how loss functions and optimization steer training toward better predictions. Real-world units on healthcare AI and autonomous vehicles connect the math to applications, and an AI-career-pathways topic helps students see where the skills lead. The grade aligns with AI4K12 and CSTA standards.
Beyond AI knowledge, students build these essential skills
Hands-on projects that reinforce learning
Want the full ML build ladder? See all 10 machine learning projects for kids, Grades 6-12.
Yes. Grade 9 (ages 14-15) is the first high-school grade in the path and introduces deep learning and model training, building on the neural-network concepts from Grade 8.
Grade 9 introduces the mathematics behind AI gradually — loss, optimization, and overfitting are taught through interactive simulations rather than formal proofs, so standard high-school math is enough.
The first 3 chapters are free with no credit card. Full access is the AI Scientist plan at $11.67/mo billed annually ($139.99/yr; ₹11,900/yr in India).
Learning path aligns with AI4K12 Initiative guidelines and CSTA computer science standards.
Try the first 3 chapters free. No credit card required.