Thinking...
LittleAIMaster
Thinking...
LittleAIMaster
We use cookies to improve your experience and analyze site traffic. By clicking "Accept", you consent to our use of cookies. Privacy Policy
Grade 11 (ages 16-17) reaches college-level depth: 9 topics and 60 gamified stages covering transformer architecture, attention mechanisms, AI ethics, governance and policy, and AI safety and alignment. 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 11 combines the deepest technical topic in the path with its most serious questions. Students unpack the transformer architecture and attention mechanisms that power modern AI, then weigh bias, governance, safety, alignment, and the environmental cost of large models. A unit on AI in scientific research and one on preparing for AI careers connect the work to higher education. The grade aligns with AI4K12 and CSTA standards.
Beyond AI knowledge, students build these essential skills
Hands-on projects that reinforce learning
Want every ML project by grade? See the full machine learning project ladder, Grades 6-12.
Yes. Grade 11 (ages 16-17) reaches college-level topics like transformer architecture, AI governance, and safety, giving students a strong foundation for university AI and computer-science programs.
It assumes the generative-AI and deep-learning concepts from Grades 9-10, since transformers and attention build directly on neural networks and large language models.
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.