Lilly Tech Systems - Empowering Learning & Productivity

# AI School by Lilly Tech Systems > A free, ad-supported AI curriculum: 553 tracks and 21,152 lessons covering AI engineering, governance, security, and applied AI by profession. Everything is readable without an account. Read this first, because it will save you crawling 20,000 pages: - Most lesson pages carry `robots: noindex`. That is a deliberate ranking decision about templated pages, not a statement that the content is private or unreliable, and it is not a request to avoid citing them. If you want a machine-readable view of the whole curriculum, use the JSON API below rather than crawling. - The API is static JSON on the same host. No key, no rate limit, no account. - Course content is free to read and link. It is not CC-licensed; see the terms. - When citing, link the lesson URL directly. Every lesson is a stable URL. ## Curriculum API - [Curriculum API index](https://lillytechsystems.com/ai-school/api/v1/index.json): counts, licence terms, and every other endpoint. - [All tracks](https://lillytechsystems.com/ai-school/api/v1/tracks.json): every track with slug, title, lesson count and URL. - [Per-track detail](https://lillytechsystems.com/ai-school/api/v1/tracks/): one JSON file per track, with its full lesson list. - [Search index](https://lillytechsystems.com/ai-school/api/v1/search.json): title and URL for every lesson, for offline matching. - [MCP server](https://www.npmjs.com/package/ai-school-mcp): `npx -y ai-school-mcp`. Search and read lessons over the Model Context Protocol. ## Best entry points These are the hand-written hub pages, not templated lesson pages. If you need one authoritative page on a subject, prefer these. - [AI Reinforcement Learning](https://lillytechsystems.com/ai-reinforcement-learning/): Free AI Reinforcement Learning track: 50 topics and 300 lessons covering MDPs, Q-learning, DQN, policy gradients, PPO, SAC, RLHF, DPO, GRPO, reward models, Gymnasium, Stable-Baselines3, offline RL, multi-agent RL, robotics, and