Free resources
Free live workshops, courses, and interactive tools on shipping production AI and ML, built for working data scientists. No fluff, just the parts that get you from prototype to production.
From Chat Window to AI Analyst
Three live sessions, Sep 24 to Oct 8: an AI analyst built in Claude Code, connected to your database with MCP, then to your business with a semantic layer. Recordings for every registrant.
MLOps for Data Scientists
Take your models from a notebook to a monitored system running in production. Five parts, each a practical guide paired with a working code repo, delivered to your inbox one part a day.
Agentic Analytics for Data Scientists
A 30-minute deep dive on shipping production agentic analytics: the architecture, the trade-offs, and the parts the tutorials tend to skip.
Anatomy of a Production ML System
A clickable map of a real production ML system, end to end. Open any component for what it does and why it exists, play a flow to watch data move through it, or step the build order to watch the whole thing assemble.
Anatomy of a Production ML Project
The same system seen as a repository: the folder layout MLOps-mature teams converge on, with every file and folder clickable for what it holds, why it exists, and where it shows up in a running system.
Anatomy of Data Drift
Six months of a deployed model's life, played day by day. Nine short steps walk you through what a drift check sees, when it fires, when it fires for no reason, and what it can never see. Then every setting is yours to try.