The aigp exam is a 100-question certification assessment administered through Pearson VUE for the International Association of Privacy Professionals. It measures knowledge of AI governance foundations, applicable laws and standards, responsible development, and deployment oversight. Candidates receive 2.75 hours of testing time plus a scheduled 15-minute break. The required passing score is 300 on a scale of 100 to 500. The exam is available at testing centres or through online proctoring and must be completed within one year of purchase.
The aigp exam evaluates whether a candidate understands how to govern artificial intelligence responsibly. It focuses on policies, regulations, risk management, data governance, system development and deployment oversight rather than programming or model-building skills.
The examination is associated with the Artificial Intelligence Governance Professional (AIGP) credential offered by the International Association of Privacy Professionals (IAPP).
Candidates may encounter questions about:
Responsible-AI principles and organizational accountability
Privacy, intellectual-property and consumer-protection laws
AI-specific regulations and risk classifications
AI impact and risk assessments
Data quality, lineage and governance
Model testing and documentation
Third-party AI procurement
Human oversight and transparency
Post-deployment monitoring and incident management
The aigp certification validates a professional’s understanding of responsible AI governance across different industries and jurisdictions.
Searches for aigp certification iapp, iapp aigp certification and ai governance professional (aigp) certification refer to the same IAPP credential.
Terms such as iapp artificial intelligence governance professional aigp certification, certified ai governance professional aigp and certified artificial intelligence governance professional aigp are often used online. However, the official credential name is Artificial Intelligence Governance Professional (AIGP).
The aigp artificial intelligence governance professional credential is suitable for:
AI governance specialists
Privacy and data-protection professionals
Legal and compliance teams
Cybersecurity and risk managers
Data scientists and AI developers
Product and procurement managers
Internal auditors and consultants
The aigp certification exam contains standard multiple-choice, multi-select and case-based questions. Scenario questions test whether candidates can apply governance principles to practical situations.
Exam detail
Official information
Total questions
100
Testing time
2.75 hours
Scheduled break
15 minutes
Question types
Multiple-choice, multi-select and scenario-based
Delivery method
Pearson VUE centre or OnVUE
Passing score
300 on a 100–500 scale
Exam availability
Online and in person
Purchase validity
One year
Multi-select questions specify the number of answers candidates must select. All required responses must be correct to receive credit because partial credit is not awarded.
The official aigp passing score is 300 or higher on IAPP’s scaled scoring range of 100 to 500.
A score of 300 does not mean candidates must answer exactly 60% of the questions correctly. IAPP converts raw results to scaled scores because individual exam forms may differ slightly in difficulty.
Scoring concept
Explanation
Raw score
Number of scored questions answered correctly
Scaled score
Converted result between 100 and 500
Pass requirement
A scaled score of 300 or higher
Domain breakdown
Percentage performance within each domain
IAPP does not publish an official aigp exam pass rate. Any website claiming that a specific percentage of candidates pass should be treated as an unofficial estimate.
The current AIGP Body of Knowledge is Version 2.1, effective from 2 February 2026. Candidates should ensure their course and practice material follow this version.
Exam domain
Question range
Knowledge covered
Foundations of AI governance
16–20
AI risks, responsible principles, governance roles and policies
Laws, standards and frameworks
19–23
Privacy law, AI laws, NIST AI RMF, OECD and ISO
Governing AI development
21–25
Data governance, model design, testing and documentation
Governing AI deployment and use
21–25
Deployment risks, vendors, monitoring and incidents
Candidates should not study the domains as isolated subjects. Exam scenarios can combine legal requirements, data risks, vendor responsibilities and lifecycle controls within one question.
The current iapp aigp certification cost depends on the candidate’s membership status:
IAPP member price: USD 649
Non-member price: USD 799
Certification term: Two years
Non-member recertification maintenance fee: USD 250
Continuing education requirement: 20 credits per term
The aigp exam cost generally does not include every textbook, training course or practice exam. Candidates should review what is included before purchasing a preparation package.
IAPP recommends at least 30 hours of preparation. Candidates without previous exposure to privacy law, AI regulation or governance frameworks may require more time.
Use this preparation process:
Download the latest Body of Knowledge and blueprint.
Map study sessions to all four exam domains.
Review responsible-AI principles and governance roles.
Study applicable privacy and AI laws.
Learn NIST AI RMF, OECD principles and relevant ISO standards.
Practise impact assessments and vendor-risk reviews.
Complete scenario-based sample questions.
Take full-length examinations under timed conditions.
Review weak domains before scheduling the test.
When comparing aigp online training, iapp aigp training, iapp aigp certification training and independent aigp certification training, confirm that the content follows Version 2.1.
Candidates searching for ai governance professional (aigp online training) should choose programmes that include practical scenarios, mock tests, current legal topics and detailed answer explanations.
The answer to is aigp certification worth it depends on your role. The credential offers value to professionals who develop AI policies, evaluate vendors, conduct risk assessments, manage regulatory requirements or oversee responsible-AI programmes.
It is not primarily intended for learning coding or machine-learning engineering. Technical professionals can combine aigp training with practical AI, cloud, security or data certifications.
Use the official blueprint as your study baseline and schedule the exam when you can apply governance principles to real AI development and deployment scenarios.