Overview of major global privacy regulations (GDPR, DPDPA, CPRA, PIPEDA, PDPA etc.); principles of fair processing; lawful bases for processing; special category and sensitive data; roles and responsibilities of data controllers, processors and Data Protection Officers.

Key elements of a privacy compliance framework; aligning with ISO/IEC 27701 and ISO/IEC 27001; privacy by design & default; privacy programme strategy, policies & procedures; establishing privacy committees and reporting structures.

Identifying processing activities across business units; data mapping and classification; maintaining Records of Processing Activities (RoPA); data flow diagrams; accountability documentation; managing cross-border transfers and understanding adequacy decisions.

Conducting DPIAs – methodology, risk identification, impact analysis and mitigation; transfer impact assessments (TIA); risk-based decision making; integrating DPIAs into project lifecycles; embedding privacy by design in new initiatives.

Understanding data subject rights (access, rectification, erasure, restriction, portability, objection); creating processes to respond to DSRs; managing consent and notice requirements; working with consent management platforms; maintaining evidence of consent.

Drafting data processing agreements, Standard Contractual Clauses (SCCs) and cross-border transfer arrangements; due diligence for vendors and service providers; third-party risk assessments; rights and obligations in subprocessor relationships.

Security controls and organisational measures to support privacy (ISO/IEC 27001/27002); detecting, reporting and managing data breaches; breach notification timelines under GDPR and DPDPA; building an incident response plan; lessons learned after incidents.

Developing privacy training programmes tailored to different roles; building a privacy culture; raising awareness across employees, contractors and partners; creating communication plans and awareness campaigns.

Planning and performing privacy audits; key performance indicators (KPIs) and metrics for privacy compliance; monitoring effectiveness of privacy controls; continuous improvement and maturity assessments; integrating feedback from audits and incidents.

Privacy considerations for AI and machine learning, IoT, blockchain and cloud computing; guidance from the OECD, ISO and European Data Protection Board on AI governance; principles of responsible AI and ethical data use; upcoming regulatory developments and expected changes.

Real-world scenarios covering DPIA, RoPA creation, DSR handling and breach notification; hands-on use of templates; group exercises; discussion of common privacy challenges and strategies to overcome them.

Review key concepts for certification; practice questions and mock tests to prepare for DPO certification examinations; guidance on exam strategy and time management; final Q&A and readiness assessment.