Sportal Education OSCredit engine · NCrF-aligned
SC-AI-SPORTFree course · Certificate on completion

Introduction to AI in Sport

A free short course by Sportal Corporate — not a credit-bearing university award.

1h 42m of video12 videos18 written lessons

What artificial intelligence really does in sport — computer vision, automated officiating, injury models, AI scouting — and how to judge the claims.

The course explains how a model learns and what a neural network is before going near a sports application, so the rest is not magic. It then covers computer vision and tracking data, AI in officiating, injury risk and player availability models, AI scouting from both the vendor's pitch and inside a club, finding athletes scouts miss, and automated highlights. Two closing lessons cover algorithmic bias and what to do about it.

It suits analysts, club and federation staff evaluating vendors, coaches, journalists, and students on a sports science, analytics or computing course. Twelve video lessons are released one at a time, with written notes and key terms. A ten-question quiz at 80% earns a verifiable certificate.

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Free, self-paced, no payment. Work through the lessons, pass the quiz, and get a certificate you can verify by QR code.

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You will sign in with Google to save your progress. Already have a Sportal account? The same button signs you in.

What you will learn

30 lessons · 1h 42m
  1. 1How this course works
  2. 2Video 1 — What AI in sport actually means4m
  3. 3Notes — What AI in sport actually means
  4. 4Video 2 — How a model learns, in one minute1m
  5. 5Notes — How a model learns, in one minute
  6. 6Video 3 — Neural networks, properly19m
  7. 7Notes — Neural networks, properly
  8. 8Video 4 — Computer vision and tracking data26m
  9. 9Notes — Computer vision and tracking data
  10. 10Video 5 — AI in officiating10m
  11. 11Notes — AI in officiating
  12. 12Video 6 — Injury risk and player availability4m
  13. 13Notes — Injury risk and player availability
  14. 14Video 7 — AI in scouting — the pitch3m
  15. 15Notes — AI in scouting — the pitch
  16. 16Video 8 — AI in scouting — inside a club5m
  17. 17Notes — AI in scouting — inside a club
  18. 18Video 9 — Finding the athletes scouts miss11m
  19. 19Notes — Finding the athletes scouts miss
  20. 20Video 10 — Broadcast, highlights and fan products3m
  21. 21Notes — Broadcast, highlights and fan products
  22. 22Video 11 — Algorithmic bias5m
  23. 23Notes — Algorithmic bias
  24. 24Video 12 — Fairness, and what to do about it11m
  25. 25Notes — Fairness, and what to do about it
  26. 26Key terms
  27. 27Key takeaways
  28. 28Applied output — An AI proposal, including how it fails
  29. 29Worth watching — optional deep dives
  30. 30Exercise — Interrogate one vendor claim

Lessons unlock one at a time. Finish them all, score 80% on the quiz, and your certificate is issued automatically.

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