Nine courses across ages 10–18: from a summer camp and AI app-building to a Claude Code bootcamp, machine learning, and AI safety — six starting points and three second terms. Every one ends with something the student built, and can explain.
All Courses
Three weeks, six sessions, one shipped app. Learn what AI is, how to prompt it, and leave with a real link you built.
Most popularAges 10–13For ages 10–13. Learn what AI is and how to direct it, then use Lovable to build and ship a real app of your own over a term.
Ages 14–18For ages 14–18. Learn the agentic workflow professionals use in 2026 with Claude Code, pick up real coding fundamentals, and build a working LMS.
Ages 15+For ages 15+. A math-honest foundation in ML: the linear algebra it needs, real models, and a project that leads into ML research.
Ages 14–17For ages 14–17. A serious seminar on the alignment problem, AI governance, and ethics. Build something and write a real research paper.
All agesA dedicated AI expert and a custom roadmap. Get tailored teaching or build a personal project for college admissions. From $100/hr.
After the first term
Each of these follows on from a first course. Students go from one shipped app to a real product, or from the foundations of machine learning to their own research.
The next term for AI App Course graduates: a bigger app with real accounts, richer features, and a proper deploy.
Ages 14–18The next term for Bootcamp graduates: a bigger real-world project, deeper fundamentals, and the advanced agentic workflow.
Ages 15+The research term: a guided first ML research project, done to a standard you can put in a college application.