Legal / Law Training Course on Privacy by Design & Data Governance

Module 1: Foundations of Privacy by Design & Data Governance
Key Study Areas:
Evolution and principles of Privacy by Design (PbD)
Global data protection frameworks: GDPR, CCPA, and other international regimes
Core data governance principles: accountability, transparency, and stewardship
The relationship between PbD, data ethics, and corporate compliance
Case Studies:
Implementation of PbD under the GDPR (e.g., Apple’s privacy framework)
Comparative governance models in multinational corporations
Activities:
Group discussion: Translating the 7 foundational principles of PbD into practical organizational actions
Exercise: Mapping your organization’s current data governance maturity

Module 2: Legal and Regulatory Frameworks for Data Protection
Key Study Areas:
Overview of global and regional data protection laws (GDPR, CCPA, African Union Convention, UK DPA 2018)
Lawful bases for processing personal data
Data subject rights: access, portability, erasure, rectification, and objection
Role of data controllers, processors, and third-party vendors
Cross-border data transfers and adequacy decisions
Case Studies:
Schrems II judgment and its impact on international data flows
Enforcement actions by EU and African data protection authorities
Activities:
Workshop: Mapping regulatory requirements to corporate practices
Scenario analysis: Identifying compliance gaps in a multinational data transfer process

Module 3: Operationalizing Privacy by Design
Key Study Areas:
Embedding PbD in product lifecycle and software development
Privacy engineering and technical safeguards (encryption, pseudonymization, minimization)
Conducting Data Protection Impact Assessments (DPIAs) and privacy risk evaluations
Integrating privacy into agile and DevOps frameworks
Vendor and supply chain management through contractual controls
Case Studies:
Designing a privacy-first mobile health application
Failure of PbD: Facebook–Cambridge Analytica scandal
Activities:
Simulation: Conduct a DPIA for a new AI-driven platform
Drafting exercise: Privacy-by-design checklist for product development teams

Module 4: Data Governance, Accountability & Compliance
Key Study Areas:
Building a data governance structure: roles, policies, and oversight mechanisms
Data lifecycle management: collection, classification, retention, and disposal
Metrics for privacy performance and compliance reporting
The role of DPOs and data governance committees
Integration of data governance with information security and risk management frameworks (ISO 27701, NIST Privacy Framework)
Case Studies:
Corporate data governance transformation in a multinational bank
Privacy and compliance audit by an EU supervisory authority
Activities:
Workshop: Designing a governance charter for privacy compliance
Role-play: Conducting a mock privacy compliance audit

Module 5: Emerging Challenges and Future Trends
Key Study Areas:
Ethical implications of AI, big data, and algorithmic profiling
Data governance in cloud and cross-border digital ecosystems
Data sharing, interoperability, and open data initiatives
Emerging standards: ISO/IEC 31700 (Consumer Privacy by Design)
Future of privacy regulation and digital trust frameworks
Case Studies:
AI-driven data analytics and consent management challenges
Lessons from global privacy enforcement trends
Activities:
Group discussion: Balancing innovation and privacy in digital transformation
Capstone project: Develop a privacy-by-design roadmap and governance strategy for a fictional organization