Data Privacy and Governance for AI
Know what you can put into a model, and what happens to it after.
Not scheduled · Intermediate · 7 hours
Sample listing. This course was written to design the catalog and has no content behind it. It is not offered and not sellable.
No cohort of this course is scheduled.
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About this course
What can you put into a model, and what happens to it afterwards? A practical treatment of data handling for AI tools: classification, vendor terms, retention, and the internal policy that makes the answer the same for everybody.
What you’ll learn
- Classify data against what a tool may see
- Read vendor terms for what actually matters
- Set retention and deletion expectations you can honour
- Write policy people can follow without asking
Who it’s for
Compliance, legal, IT and anyone drafting an internal AI policy.