Attending “Machine Learning for Trading in the Age of AI Agents” — Live Workshop with Stefan Jansen

I'll be attending Machine Learning for Trading in the Age of AI Agents, a live, hands-on online workshop with Stefan Jansen (author of Machine Learning for Trading, 3rd Edition), on Saturday, August 15, 2026.

🕐 9:30 AM – 1:00 PM EDT / 3:30 PM – 7:00 PM CEST — fully online.

This is a build-along workshop, not a lecture: attendees go from generating to validating and refining an end-to-end ML trading strategy with real ETF market data — using AI coding agents to build the feature engineering, model training, and backtesting pipeline, and AI research agents to generate, validate, and refine the trading ideas themselves. Nobody just watches — everyone walks away having actually built one working strategy, start to finish.

Prerequisites: Python 3.11+ installed (a Docker image and Colab notebook are provided as fallbacks), and the libraries — pandas, scikit-learn, LightGBM, and the ml4t companion libraries — all open-source, installed straight from the workshop repo. No paid data or brokerage account needed: the ETF dataset ships with the repo. Optionally, bring free Nasdaq Data Link / Yahoo Finance access and a coding agent (e.g. Claude Code) to follow the agent-assisted build. Intermediate Python and familiarity with basic ML/market terms (returns, features, cross-validation) help but aren't required.

If you'd like to build a real end-to-end ML trading strategy alongside Stefan rather than just read about one, this is where you can actually pull it off.

Full details and registration: https://lnkd.in/eYRG8WWU

Packt is offering 40% off event registration with code PACKTLIVE40 — valid until August 15.

I'll follow up with my impressions after the session.

Read the full write-up here: Machine Learning for Trading in the Age of AI Agents — Workshop Review.

Disclosure: I received a complimentary ticket to this event from Packt Publishing (via Anjitha M Nair). The views above are my own.