Big idea. The tool should follow the problem. Three families of AI fit different problems, and any proposal must be tested on value, data, evidence, risk and ownership.
Outcomes served. O1 (distinguish the families of AI) and O2 (build and test a simple value case).
Plan your six hours
| Part | Minutes |
|---|---|
| Opener and orientation (this page) | 15 |
| M1.L1 Three families of AI | 55 |
| M1.L2 Where AI creates value | 50 |
| M1.L3 Counting the cost side | 50 |
| M1.L4 Five questions for any proposal | 50 |
| Practice set | 35 |
| Lab: Test an email-triage proposal | 50 |
| Mastery checkpoint | 30 |
| Discussion prompt and recap | 25 |
| Total | 360 (6 hours) |
Assumed. Nothing from earlier modules. Experience of managing budgets is enough.
Where this topic appears in practice. Directors and senior managers who approve AI projects, sign vendor contracts or answer to a board need the same structure: which problem, which family, what return, what risk. See the encyclopedia entry on artificial intelligence.
Privacy. Your answers stay with you. This course does not store, collect or send anything you write or tick.