course | certified data privacy engineer

Privacy Governance (Domain 1 – 20%)

Module 1: Foundations of Privacy Governance

• Definition of Personal Information and Sensitive Data
• Privacy Principles (Privacy by Design, Transparency, Accountability)
• Global Privacy Laws and Regulations Overview
• Organizational Privacy Policies and Documentation

Module 2: Privacy Operations

• Organizational Roles and Responsibilities (DPO, Privacy Office)
• Vendor and Third-Party Risk Management
• Incident and Breach Management
• Data Subject Rights and Request Handling (DSAR lifecycle)

Practical Exercise:

• Designing a Privacy Governance Model for an Enterprise

Privacy Risk Management & Compliance (Domain 2 – 18%)

Module 3: Privacy Risk Management

• Privacy Risk Management Framework
• Risk Identification and Assessment
• Privacy Impact Assessment (PIA/DPIA)
• Threats and Vulnerabilities in Privacy Context
• Risk Treatment and Mitigation Strategies

Module 4: Privacy Compliance

• Privacy Frameworks (ISO 27701, NIST Privacy Framework)
• Compliance Monitoring and Metrics
• Audit Evidence and Artifacts
• Continuous Improvement

Workshop:

• Conducting a Sample Privacy Impact Assessment

Data Life Cycle Management (Domain 3 – 23%)

Module 5: Data Collection and Processing

• Data Inventory and Classification
• Data Flow Mapping
• Data Quality and Accuracy
• Data Minimization and Purpose Limitation
• Privacy Risks in Analytics, AI, and Data Warehousing

Module 6: Data Persistence and Destruction

• Storage, Retention, and Archiving Policies
• Cross-Border Data Transfers
• Secure Data Disposal and Destruction Techniques
• Legal Hold and eDiscovery Considerations

Practical Exercise:

• Building a Data Flow Diagram and Retention Strategy

Privacy Engineering (Part 1) (Domain 4 – 39%)

Module 7: Technology Foundations

• Infrastructure Models (On-Premises vs Cloud)
• Devices, Endpoints, and Network Connectivity
• APIs and Cloud-Native Architectures
• Secure Development Life Cycle (SDLC)
• DevSecOps Integration

Module 8: Privacy-Related Security Controls

• Asset Management
• Identity and Access Management (IAM)
• Least Privilege & Zero Trust Concepts
• Patch Management and System Hardening
• Encryption (At Rest, In Transit)
• Hashing, Tokenization

Lab Discussion:

• Designing Secure Privacy Architecture

Privacy Engineering (Part 2) + Exam Preparation

Module 9: Advanced Privacy Controls

• Consent Management and Tagging
• Tracking Technologies and Cookie Governance
• Anonymization vs Pseudonymization
• Privacy Enhancing Technologies (PETs)
• AI/ML Privacy Considerations

Module 10: Monitoring and Continuous Improvement

• Logging and Monitoring for Privacy
• Privacy Metrics and Reporting
• Incident Detection and Response Integration