Free Live Workshop Series for Data Scientists

    From Chat Window to AI Analyst

    Three live builds. An AI analyst that runs real analyses, queries your database, and gets business questions right. See what it takes, then start your own.

    Sep 24 to Oct 8, 2026Live online, 7:00 PM GMT+2Recordings for all registrants

    Free. One registration covers all three sessions.

    Andres VourakisMarkus KuehnleAdel Hassen

    What happens in each session

    Something breaks on screen, the fix gets built live, and you get the files afterwards.

    1. 1
      Sep
      24

      Claude Code for Data Scientists

      Your first real analysis with an AI analyst

      Thu, 7:00 PM GMT+2 · with Markus Kuehnle

      Most of us use AI in a chat window, and the real work still happens by hand afterwards. This session shows what changes when the AI works inside your project instead: it runs the analysis, produces the charts and the write-up, and you learn how to tell when its work can be trusted.

      You leave with: a clear picture of how an AI analyst fits into your day, and how to run your first one.

    2. 2
      Oct
      1

      Connect Your AI Assistant to Your Data

      Query your database in plain English with MCP

      Thu, 7:00 PM GMT+2 · with Adel Hassen

      An AI that can't reach your data can only guess. Adel walks through the ways people try to fix that, why most of them fall short, and how MCP gives your assistant a real connection to your database. Then you ask it real questions and see both how far that gets you, and where it stops.

      You leave with: an understanding of what MCP is and what it takes to connect AI to your data.

    3. 3
      Oct
      8

      An AI Analyst Your Business Can Trust

      The semantic layer between your data and every AI tool that touches it

      Thu, 7:00 PM GMT+2 · with Markus Kuehnle

      Inside a company, the hard part isn't the model. It's that an AI with full access to your data still doesn't understand your business, so it answers confidently and wrong. Markus shows how context engineering fixes that with a semantic layer between your data and every AI tool that uses it. You learn how to structure one, how to measure whether your talk-to-your-data agent is actually right instead of trusting it, and where the layer sits in a real company's architecture. Same model, same data, and the agent goes from mostly wrong to nearly always right.

      You leave with: a clear understanding of context engineering and the semantic layer, and a fix you could bring to your own warehouse in a day.

    Who this is for

    • You use ChatGPT or Claude every day, and most of it is paste, prompt, copy, repeat.
    • You've pasted a schema into a chat and hoped. You haven't connected AI to a real database yet.
    • Job postings list MCP and agentic workflows, and you want to see them on a real dataset, not a slide.
    • You've finished courses that changed nothing about your Monday.

    Your experience is the asset. Knowing what "engaged user" means in your business is exactly what the AI is missing.

    Your hosts

    Andres Vourakis

    Andres Vourakis

    Sr. Data Scientist, Founder at Future Proof DS

    8+ years in tech and applied AI/ML. Creator of the AI Workflows Bootcamp. Co-hosts all three sessions.

    Markus Kuehnle

    Markus Kuehnle

    AI Engineer @ Wieland

    AI Engineer in Supply Chain at Wieland AG, based in Ulm, Germany. Builds ML models and AI systems that run in production, and teaches AI systems on LinkedIn and in schools. Leads the live builds in sessions 1 and 3.

    Adel Hassen

    Adel Hassen

    Data Scientist @ Dataiku

    Experienced in applied AI and ML systems, with a focus on driving real business impact. Leads the live build in session 2.

    See what sits above the chat window

    Three live builds, from a chat tab to an AI analyst that knows your data and your business. Every recording and file lands in your inbox.