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Interactive lessons on AI and quant engineering.

Start with lesson 1

AI engineering

How language models work, and how to build with them.

Module 01 Classical Machine Learning Models that learn from tables of data Start here Module 02 Neural Networks How a network learns, built from scratch Not started Module 03 Tokens and Embeddings How text becomes vectors Not started Module 04 Transformers Attention, blocks and generation Not started Module 05 Training and Tuning How models are made and adapted Not started Module 06 Inference and Serving Where the time and money go Not started Module 07 Prompting Prompts, structured output and tool calls Not started Module 08 Evaluation Measuring what a system does Not started Module 09 Search and Retrieval Answering from your own documents Not started Module 10 Agents Models that use tools, within limits Not started Module 11 Production AI Running AI for real users Not started Optional Engineering Toolkit The working tools every engineering team assumes Not started

Quant engineering

The maths and tools behind quant research and trading.

Module 01 Probability Count it, condition on it, take the expected value Not started Module 02 Statistics and Regression Learn from data without fooling yourself Not started Module 03 Time Series Data that arrives in order, and what it remembers Not started Module 04 Python for Market Data The tools every quant uses every day Not started Module 05 Markets Where orders meet, and how prices get made Not started Module 06 Portfolio and Risk Combine bets, measure risk, size them safely Not started

Pick something you’re curious about. See how it works, one idea at a time. Or follow a track for a job, and look up any word in the glossary.