Future-proof Data Science - AI Workflows Training
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    Free workshops and courses on shipping production AI and ML, built for working data scientists. No fluff, just the parts that get you from prototype to production.

    The five stages of the MLOps course as a pipeline: structure, serve, track, automate, monitor.
    Free 5-part course

    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.

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    Architecture diagram: a question flows through routing logic and a semantic model to the warehouse, wrapped in guardrails, with an observability layer underneath.
    Free workshop

    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.

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    The four stages of a production ML system as connected boxes: make the model, ship it, run it, watch it, with a feedback loop back to the start.
    Free interactive

    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.

    Open the map
    A production ML repository file tree with folders color-coded by the job they do, and data and model folders marked gitignored.
    Free interactive

    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.

    Open the layout
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