Privacy Engineer / Data Protection Officer (DPO)

Overview

This course masters the critical intersection of GDPR and the EU AI Act for privacy engineers and Data Protection Officers. It provides practical guidance on embedding privacy protections into AI systems while meeting both data protection and AI regulatory obligations.

What You Will Learn

• Implement privacy-by-design principles for AI systems (GDPR Article 25)
• Meet EU AI Act Article 10 privacy and data governance requirements
• Conduct Data Protection Impact Assessments (DPIAs) tailored to AI
• Handle data subject requests and privacy breaches involving AI systems

Who Should Take This Course

This course is designed for Privacy Engineers, Data Protection Officers (DPOs), Compliance Managers, Legal and Privacy professionals, and anyone responsible for data protection in AI initiatives.

Course Format

AI Assurance E-Learning Platform - Self-paced online.

Key Benefits

• Integrated understanding of GDPR and EU AI Act privacy obligations
• Ability to implement privacy-by-design in AI development
• Skills to conduct effective DPIAs and manage data subject rights
• Confidence in handling privacy incidents related to AI systems

Body of Knowledge - Mapped to Standards and Regulations

• Privacy-by-Design for AI (GDPR Article 25 applied to AI)
• EU AI Act Privacy Requirements (Article 10 data governance, anonymisation & pseudonymisation)
• DPIA & Risk Assessment (when DPIA is mandatory, integration with prEN 18228, GDPR Article 35)
• Data Subject Rights & Breach Response (DSARs for AI decisions, breach reporting, GDPR Articles 15-22)

Key Takeaways

• Understanding of the Privacy Engineer / DPO role and responsibilities
• Core knowledge and practical skills at the intersection of privacy and AI
• Clarity on risk and control responsibilities
• Awareness of key duties and performance indicators for the role

Certificate

Participants will receive a certificate of completion upon finishing the course.