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Practical Data & AI learning

Build capability. Apply it at work

Short, evidence-aware learning for people making real decisions with data and AI.

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Responsible AI foundations

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Responsible AI foundations

Frame, verify, and review AI-supported work with visible human accountability.

  • Free course
  • Self-paced
  • Beginner
  • Independent review pending

4short lessons

30minutes in all

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  1. Define the real taskBegin with the decision and the person responsible for it, not with a tool or a prompt.
    8 min
  2. Set boundariesState the allowed evidence, prohibited data, output limits, and required reviewer before beginning.
    5 min
  3. Decide what good looks likeTurn a vague request into observable quality checks before reviewing the output.
    7 min
  4. Keep the decision humanDesign the handoff so a qualified person can challenge the analysis and retain the decision.
    10 min

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Explainer videos, one a week.

Each series is released on YouTube, one video a week, after review.

  • AI, explained

    9 episodes · 27 close-ups

    Planned

  • Research papers, explained

    3 episodes · 6 close-ups

    Planned

  • Finance, explained

    Topics to be confirmed

    Planned

Paid courses will be sold through an outside platform.Planned