Stefan Jansen

Stefan Jansen

2.5K Subscribers

Builds production ML and agent systems, then teaches the operating method.

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Stefan Jansen takes you from idea to reliable ML and AI systems

Stefan Jansen is the founder of Applied AI and author of Machine Learning for Trading, now in its third edition. He teaches how to move from an idea to a reliable production system: define requirements, design data and evaluation, test failure modes, and establish the operating process. His work spans quantitative research and live trading infrastructure, contract intelligence for insurers, healthcare forecasting, and AI agents. He currently builds multi-agent systems and coding-agent workflows, with particular attention to verification, governance, and deciding where agents fit. More than 100,000 people have taken his courses. Stefan holds a Harvard master’s in economics and public policy, a Georgia Tech MS in computer science, and the CFA charter.

Alumni reviews

Mo

Live cohort
Investment Director · Dana Point Capital

ML for Trading in the Age of AI Agents

In a concise yet rather enriching format, Stefan Jansen is able to walk you through a solid workflow for developing a strategy, with a coding agent supporting the most mundane elements. It is one thing to read the book, and a totally different experience listening to the author offering his perspective. Highly recommended content.

Mark

Live cohort
developer · *

ML for Trading in the Age of AI Agents

Great workshop! Following the whole pipeline, from raw ETF data through features, model training and a backtest with real costs, made it clear how the research decisions connect. I especially liked that Stefan checks whether the results hold up, instead of just presenting a strategy that works. The notebooks are clear enough to rerun and question afterwards, and he answered questions from the chat in depth. The agent part was a nice bonus, and it works well alongside his book and longer course.

Joel

Live cohort
Founder · Kalarus Capital

ML for Trading in the Age of AI Agents

Superb course. Stefan Jansen walks a complete, realistic quant workflow, from data integrity to a cost-aware backtest and a traced research agent, with real emphasis on avoiding the leakage and statistical traps that make strategies look better than they are. The notebooks are polished, run cleanly in Colab or locally, and are a pleasure to extend. Rigorous, practical and honest. Highly recommended!

Elsa

Live cohort
Software Developer · Freelance

ML for Trading in the Age of AI Agents

Great workshop !! A lot of insights and great explanation. Highly recommended !!

DK

Live cohort
NA · NA

ML for Trading in the Age of AI Agents

Ver good course . Tons of value and insights . Would have been good to get list of background readings/refrences for those not fluent in trading or ML terminology based on their background, or indicate clearly pre-requisite knowledge . Still great use of time and money