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Certified AI Data Protection Officer (CAIDPO)

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  1. Learning Objectives
  2. Video: Why to Become a Certified AI Data Protection Officer

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

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

Quizzes

Certified AI Data Protection Officer (CAIDPO) Learning Objectives
Lesson 1 of 43
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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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