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Certified AI Data Protection Officer (CAIDPO)

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  1. Learning Objectives

  2. Module 1: Foundations of AI-Driven Data Protection

    Lesson 1.1 – Understanding AI, Privacy, and the Role of the AI DPO
  3. Lesson 1.2 – Global AI and Data Protection Regulations
  4. Worksheet: Global AI Data Law Tracker
  5. Module 2: Data Mapping, RoPAs and AI Model Inventories
    Lesson 2.1 – Mapping AI Data Flows and Building RoPAs for AI Models
  6. Lesson 2.2 – AI Model Documentation and Lifecycle Governance
  7. Template: AI RoPA
  8. Template: Model registry
  9. Module 3: AI-Specific DPIAs, Bias, and Fairness
    Lesson 3.1 – Conducting AI-Specific Data Protection Impact Assessments (DPIAs)
  10. Lesson 3.2 – Fairness, Bias, and Discrimination in AI Systems
  11. Worksheet: AI DPIA
  12. Worksheet: Bias and fairness Heatmap
  13. Module 4: DSARs, AI Transparency and Consent Management
    Lesson 4.1 – Handling DSARs and AI-Based Processing Requests
  14. Lesson 4.2 – Designing Consent and Transparency for AI Interfaces
  15. Template: DSAR AI Response
  16. Template: Consent UX Guide
  17. Module 5: AI Risk Governance, Audits and Ethical Culture
    Lesson 5.1 – Building AI Risk Frameworks and Governance Committees
  18. Lesson 5.2 – Internal Audits, Training, and Compliance Culture for AI
  19. Template: AI Risk and Audit Tracker
  20. Template: Internal Policy Starter Kit
  21. Certified AI Data Protection Officer Playbook
    AI Incident Report Form
  22. 72-Hour Regulatory Breach Notification Checklist
  23. Stakeholder Communication Grid
  24. AI Vendor Risk Questionnaire
  25. Supplier Risk Scoring Sheet
  26. Contract Clause Tracker
  27. Explainability Summary Sheet (“Model Card”)
  28. Black-Box Risk Rating Worksheet
  29. Transparency Compliance Audit Checklist
  30. Human Oversight Decision Log
  31. Ethical AI Assessment Form
  32. Responsible AI Deployment Checklist
  33. AI Data Transfer Register
  34. AI Transfer Impact Assessment Worksheet
  35. Compliance Controls Matrix for AI Data Flows
  36. DPO Governance Scorecard
  37. AI Compliance Heatmap Worksheet
  38. Quarterly AI Governance Review Agenda
  39. AI Privacy Training Log
  40. AI Risk Register Template
  41. AI Audit Readiness Checklist
  42. Certified AI Data Protection Officer (CAIDPO)- Exam Guidance

Quizzes

Certified AI Data Protection Officer (CAIDPO) Learning Objectives
Lesson 1 of 42
In Progress

Learning Objectives

August 17, 2025

By the end of this course, learners will be able to:

  1. Interpret and apply global data protection laws in the context of AI technologies and automated decision-making.
  2. Conduct privacy impact assessments and algorithmic audits for AI systems using compliant governance models.
  3. Build internal policies and compliance strategies for AI data usage, vendor selection, and risk reporting.
  4. Respond effectively to data subject rights requests (DSARs) related to AI-based data processing.
  5. Embed AI ethics, fairness, and explainability into privacy policies and product development workflows.
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