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Privacy Practice LabLearn. Implement. Prove it.

Intermediate

AI Privacy and Data Readiness

Learn how to identify sensitive-data risks, assess AI tools, reduce unsafe data exposure and build practical AI-governance controls.

4 hours9 modules10 lessonsFree certificate

About this course

Generative AI changes where data goes and how quickly. This course covers the specific data risks AI adoption introduces, how to assess AI vendors, how to reduce sensitive data exposure before it reaches a model, and how to build governance that people will actually follow.

What you will be able to do

  • Explain how AI adoption changes an organisation's data risk profile
  • Detect and reduce sensitive data flowing into AI systems
  • Assess AI vendors on privacy and data-handling grounds
  • Apply minimisation, redaction and anonymisation appropriately
  • Stand up a workable AI governance and incident response process

Course content

  1. 1

    How AI Changes Data Risk

    Speed, scale and new destinations for data.

    • Why AI changes the shape of data risk15 min
    • Where sensitive data enters AI systems13 min
    • Setting the boundary before you set the policy15 min

    4-question quiz

  2. 2

    Sensitive Data Entering AI Systems

    The realistic paths by which sensitive data reaches a model.

    • The technical surfaces where AI data actually lands22 min

    4-question quiz

  3. 3

    Shadow AI and Employee Usage

    Understanding unsanctioned AI use and responding constructively.

    • Bringing shadow AI use into the open21 min

    4-question quiz

  4. 4

    AI Vendor Privacy Assessments

    The questions that actually matter when assessing an AI vendor.

    • Assessing AI vendors on the questions that matter21 min

    4-question quiz

  5. 5

    Data Minimisation, Redaction and Anonymisation

    Reducing exposure before data reaches a model.

    • Minimising, redacting and anonymising before the model sees it22 min

    4-question quiz

  6. 6

    Preparing Enterprise Data for AI

    Labelling, permissions and hygiene before you switch AI on.

    • Stopping AI from surfacing what it shouldn't20 min

    4-question quiz

  7. 7

    Building Practical AI Governance

    Policies, review paths and ownership people will follow.

    • Building an intake process that catches AI use before it becomes a problem20 min

    4-question quiz

  8. 8

    AI Incident Response

    Handling prompt leaks, wrong-audience exposure and model misuse.

    • Responding when an AI system goes wrong21 min

    4-question quiz

  9. 9

    Final AssessmentFinal assessment

    Confirm your understanding across the full course.

    10-question final assessment