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Free course template · Global

Building and reviewing machine learning models responsibly

A ready-made course, live deck and two surveys for data scientists. AhaSlides tracks progress, completion and scores for you. 45 minutes, 6 lessons. Last reviewed 21 October 2026; not legal advice.

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Building and reviewing machine learning models responsibly: try 3 questions

Three questions from this course. Pick an answer, then see why.

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Three pieces that work together

Learners prepare on their own, you answer questions live, and the surveys tell you what stuck. 8 fields to fill in with your own policy, contacts and locations; each one is highlighted inside the course.

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The Building and reviewing machine learning models responsibly course as a learner first sees it

Completion is tracked for you

Learners sign in to take the course, so every start, finish and score is recorded in AhaSlides. No spreadsheet to keep.

  • Who has finished

    See who has not started, who is in progress and who has completed the course.

  • Every score

    Each learner's answers to the quizzes and activities in the course.

  • What landed

    Survey results show what people took away, and the 30-day check-in shows whether they use it.

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6 lessons, about 45 minutes

What learners can do at the end of each lesson. Minutes are an estimate.

  • Lesson 1: A model that scored 99% and failed live · 9 min

    Before you begin · The score · What went wrong

  • Lesson 2: Training, validation and test splits · 8 min

    Three sets · Which set? · Check

  • Lesson 3: Evaluating models honestly · 8 min

    Pick the measure · The 99% trap · Check

  • Lesson 4: Bias, drift and documentation · 8 min

    Drift · What to document · Check

  • Lesson 5: Deploying and monitoring · 6 min

    Release gates · Raise it early

  • Lesson 6: Review and final assessment · 6 min

    The reviewer's questions · Practice

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Common questions

Yes. The course, the live deck and both surveys are free. Claiming the template into your AhaSlides account is free too.

Yes. The course is self-paced and online, and the live deck lets you add a live session in the room or online.

At onboarding, and before a model goes through review or into production.

Data scientists, ML engineers and the model reviewers who sign off their work; run by data science leads with L&D.

Record completion in your own LMS or record system, so you can show who finished the course and when.

Yes, everything. Change the wording, swap scenarios for ones from your workplace, add your logo, or remove parts that don't apply.

Your own details, each highlighted inside the course:
  • Link to the model documentation template
  • Link to the model review and approval route
  • Who to ask for help or to report a concern
  • Where completion is recorded
  • Link to the self-paced course
  • List of approved tools and versions
Then edit anything else you like: wording, scenarios, your logo.
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