CompliQuest

Course Overview

When artificial intelligence meets personal data, the legal stakes are high. This course unpacks how the GDPR applies to AI systems in the real world, cutting through legal complexity to give you practical guidance. 

You’ll begin with clear definitions of personal data, controllers, and processors, and examine the differences between first-party data collected directly from users, third-party data acquired from brokers, and data obtained via web scraping. 

We then explore the core principles of the GDPR, lawfulness, fairness and transparency, purpose limitation, data minimisation, accuracy, storage limitation and accountability, and show how they translate into AI development and deployment. 

Through everyday examples, you’ll see why consent has to be informed and voluntary when an AI tool analyses voice patterns for stress; how an AI system used to screen job applications must avoid bias and hidden logic; and why repurposing health data collected for a fitness app for marketing violates purpose limitation. 

We also explain the lawful bases that make data processing permissible, such as consent, contract, legal obligation, vital interests, and legitimate interests, and how to select the right one for your AI use case.

Additional sections cover data subject rights, profiling rules, automated
decision-making and conducting data protection impact assessments. 

This course ties in the AI Act’s risk classification and requirements to show where the two regimes intersect. 

By the end, you will understand how to design AI systems that respect privacy from the outset, communicate transparently with users, and keep your organisation on the
right side of Europe’s most powerful data protection law.

Who Is This For?

This course is designed for professionals who work with, manage, or oversee AI systems and need to understand how data protection laws—especially the GDPR—apply to AI technologies:

1. Compliance & Data Protection Officers (DPOs) – Strengthening your ability to assess AI systems for GDPR alignment and privacy risks.
2. Legal & Regulatory Teams – Gaining insight into how AI processes personal data and where GDPR obligations apply.
3. IT & AI Project Leads – Understanding how to incorporate data protection by design and by default into AI workflows.
4. HR & People Professionals – Learning the implications of using AI in hiring, employee monitoring, and performance evaluations.
5. Product Managers & Owners – Ensuring AI features and tools meet data protection standards from the start.
6. Procurement & Vendor Managers – Evaluating whether third-party AI systems meet GDPR requirements.
7. Public Sector Officials – Navigating the responsible and lawful use of AI in services that impact citizens.
8. Policy Advisors & Ethics Leads – Informing governance frameworks that respect privacy and uphold fundamental rights.
9. Anyone Working With AI & Data – Whether you oversee, implement, or simply interact with AI tools, this course helps you understand your responsibilities and the rules that apply.

Modules

• AI and the GDPR - Learn how the GDPR applies to AI systems that use personal data. This module covers key principles like transparency, fairness, and lawfulness, and explains how to handle issues like profiling, automated decisions, and data subject rights. You’ll also explore practical steps such as data protection by design and completing DPIAs. By the end, you'll understand how to assess and manage GDPR risks in AI projects.