AIW-301Privacy & Data Protection
AI in Privacy Operations: Requests, Records and Notices
What you leave with
A privacy operations runbook: the tool rule, identity rules, systems searched from the record of processing, what AI does and what people decide at each step, deadlines by law, records and notices kept accurate, impact assessments for AI features, and quality sampling.
Same obligation, two realities
Early-stage and SMESmall team: rare requests and a part-time lead, so a fixed process, a written system list and review of every record.
Enterprisethousands of requests across hundreds of systems, so automation with people on identity, redaction and edge cases, weekly sampling and test cases.
How the course runs
- The obligation: where the responsibility comes from, cited by section.
- Two realities: how it is met in a small organisation and in an enterprise.
- The method: step-by-step practice with templates and edge cases.
- Paired labs: complete the one matching your work, read the other.
- Artefact and assessment: submit the artefact; a rubric and a short scenario quiz decide the certificate.