AIGP Exam Prep 2027 by Kai London
This exam prep guide takes you through the knowledge AIGP expects, area by area, in clear language — with worked examples, exam tips and practice questions so you can check your progress as you go.
What the book covers
AI foundations
Key AI concepts and the risks governance must address.
Laws and regulation
The EU AI Act, data protection and other rules that apply to AI.
Frameworks and standards
NIST AI RMF, ISO/IEC 42001 and related guidance.
Lifecycle governance
Governing AI from design and data through deployment and monitoring.
Organisational programmes
Roles, policies and accountability for responsible AI.
Practice and review
End-of-chapter questions with explanations, plus a final review checklist.
This is an independent study aid. It is not affiliated with, sponsored or endorsed by the IAPP; exam names are trademarks of their owners. Always check the current official exam outline.
Who it is for
Candidates preparing for AIGP, privacy and compliance professionals moving into AI governance, and AI programme leads.
About the author
Professor Kai London — CISSP, CISM.
An internationally recognised cybersecurity executive, board advisor and Founder & CEO of Quantum AI Systems Security LLC, writing at the convergence of AI, governance and operational resilience. Honorary Professor and Researcher at UCL.