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Course 3 of The AI Decision Course

Building AI skills and the workforce

For leaders planning how AI changes their people: which work it reaches first, retraining, hiring, junior roles, and keeping experts on side.

17 short lessons. Each one is a five-minute read with a card your team fills in and three AI prompts to test it.

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Lessons in this course

  1. Which work AI reaches first5-minute read
  2. Where the People Go When AI Takes Part of the Job4-minute read
  3. Next year's hiring plan: fewer requisitions, or the same headcount and more output4-minute read
  4. The AI basics every employee needs, and who provides them5-minute read
  5. Bring the people with the most to lose along3-minute read
  6. One use case beats a catalogue of AI courses5-minute read
  7. Retrain the people you have, and keep the programme running5-minute read
  8. What to hire for when AI does the routine work4-minute read
  9. What to offer when you can't match the money4-minute read
  10. Before you hire an AI specialist, check the work behind the degree4-minute read
  11. Where AI belongs in your own hiring4-minute read
  12. Name the owner, and put the AI people where the work is4-minute read
  13. Three decisions when someone on your staff wants to move into AI work4-minute read
  14. How far the result travels decides who may build with AI4-minute read
  15. Size the junior intake before you cut it6-minute read
  16. How to read a tiny-team, big-revenue number4-minute read
  17. What's left for managers and data teams once agents do the rest4-minute read

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