For developers & engineers
Learn AI from first principles. Apply it to real problems.
Hands-on courses that take you from the math and mechanics behind AI systems to production-ready implementations. No black boxes — you build every layer yourself, then apply what you learn to solve actual business problems.
Courses
Each course is a self-contained path from concept to implementation. Work through theory, write code, and validate your understanding at every step.
Build Your Own LLM
6 modules · 18 lessons
Go from raw text to a working language model. Covers data pipelines, tokenization, transformer architecture, training loops, and post-training — all with hands-on Python labs.
Retrieval-Augmented Generation
5 modules · 14 lessons
Build production RAG systems: chunking strategies, embedding models, vector stores, retrieval pipelines, and evaluation frameworks for grounded AI applications.
AI Agents & Tool Use
4 modules · 13 lessons
Design and implement autonomous agents with tool calling, planning loops, memory systems, and reliable execution — patterns you can ship to production.