IAPP AIGP Certification, formally the Artificial Intelligence Governance Professional (AIGP) credential, validates knowledge of responsible AI governance, AI risk, laws, standards, development, deployment, and lifecycle oversight.
IAPP AIGP Certification, formally the Artificial Intelligence Governance Professional (AIGP) credential, validates knowledge of responsible AI governance, AI risk, laws, standards, development, deployment, and lifecycle oversight. The current AIGP exam contains 100 questions and allows 2.75 hours, with a passing scaled score of 300 out of 500. The certification is designed for professionals responsible for governing AI safely and responsibly across legal, privacy, risk, compliance, technology, policy, and business functions.
What Is IAPP AIGP Certification?
The AIGP certification is an AI governance credential offered by the IAPP — International Association of Privacy Professionals.AIGP stands for Artificial Intelligence Governance Professional.The credential is designed to demonstrate that a professional understands how AI systems can be developed, deployed, monitored, and managed within responsible governance structures.The IAPP describes the credential as demonstrating competency in AI development, ethical deployment, responsible AI management, and practices intended to improve safety and trust. Professionals searching for artificial intelligence governance professional AIGP, AI governance professional AIGP, or certified AI governance professional AIGP are generally referring to this IAPP certification.
Who Is the AIGP Certification For?
AIGP is not restricted to data scientists or AI engineers.The IAPP positions the certification for professionals across industries who need to understand or execute responsible AI governance. That can include:
- AI governance professionals
- Privacy professionals
- Compliance managers
- Risk professionals
- Legal counsel
- Data governance specialists
- Information-security professionals
- Responsible AI leads
- Product managers
- Technology governance professionals
- Internal auditors
- Policy professionals
A legal professional may use AIGP knowledge to interpret AI obligations, while a product manager may use the same governance principles to build approval, documentation, monitoring, and accountability into the AI lifecycle.
IAPP AIGP Exam at a Glance
The current IAPP exam store lists 100 questions, 2.75 hours and a 15-minute break. IAPP's certification FAQs also confirm the 100-question, 2.75-hour format.
What Is the AIGP Exam Passing Score?
The official AIGP exam passing score is 300 or higher on IAPP's reporting scale.This is one of the most misunderstood parts of the exam.IAPP converts raw results to a common scale ranging from 100 to 500, with 300 established as the passing point. Importantly, 300 does not mean 60%. IAPP explicitly warns against interpreting the scaled passing score as a simple percentage. So if you are researching the IAPP AIGP passing score, do not assume that answering exactly 60 questions correctly guarantees a pass.IAPP also does not provide candidates with the exact number of questions they answered correctly. Candidates receive performance information by blueprint domain instead.
What Does the AIGP Certification Exam Cover?
The current 2026 AIGP Body of Knowledge is organized around four major areas.
1. Understanding the Foundations of AI Governance
Candidates should understand:
- What AI is
- Why AI requires governance
- Responsible AI principles
- Organizational expectations
- AI governance policies
- AI lifecycle governance
The exam is not primarily testing advanced machine-learning mathematics. The emphasis is understanding AI sufficiently to make sound governance decisions.
2. Laws, Standards and Frameworks Applicable to AI
Candidates need to understand how governance interacts with:
- Existing privacy laws
- Other laws affecting AI
- AI-specific regulation
- Industry standards
- Governance frameworks
- AI risk-management tools
The goal is not simply memorizing legislation. Candidates need to recognize how legal and governance requirements affect real AI systems.
3. Governing AI Development
This area examines governance during the design and development process.Topics include:
- Designing and building AI systems
- Training and testing data
- Data governance
- Model development
- Risk management
- Release decisions
- Monitoring
- Maintenance
4. Governing AI Deployment and Use
Candidates must understand how to evaluate and control AI after development.That includes:
- Deployment decisions
- AI risk assessments
- Appropriate use
- Ongoing monitoring
- Maintenance
- Governance during production use
These four areas are defined in the current IAPP AIGP study guide effective February 2026.
What Type of Questions Appear on the AIGP Exam?
All questions are multiple choice, but that does not mean every item follows a basic four-option format.IAPP confirms that exams can include:
- Standard multiple-choice questions
- Scenario-based questions
- Multi-select questions
For multi-select questions, candidates must choose the specified number of correct options. No partial credit is awarded when the required combination is not completely correct.This means effective AIGP certification training should include application-based questions rather than relying entirely on definitions.
How Much Does AIGP Certification Cost?
The current AIGP certification cost is:
The IAPP currently lists these prices in its official store.The total cost can increase if you purchase optional preparation resources.Current official store pricing also lists:
- AIGP online training — $1,195
- AIGP practice exam — $60
Training is optional. IAPP explicitly states that no paid study resource is required to pass its certification examinations. The current exam product information also states that the initial certification maintenance fee is included in the nonmember exam fee. Upon later recertification, nonmembers pay the applicable maintenance fee, currently listed as $250.
Is AIGP Training Required?
No.You can take the AIGP certification exam without completing an official training course.IAPP recommends at least 30 hours of preparation, although the actual time required depends on your existing knowledge of AI, privacy, governance, regulation, risk, and technology.Official AIGP training is available in several formats:
- Self-paced online
- Live online
- In-person
- Group training
The IAPP also makes clear that training is educational rather than a guaranteed exam-passing program.
How Should You Prepare for the AIGP Exam?
A practical preparation process is:
- Start with the official Body of Knowledge.
Treat it as your syllabus rather than relying on random AI-governance topic lists. - Use the exam blueprint.
Identify which areas receive greater representation. - Learn AI concepts in governance context.
Understand models, training data, deployment and monitoring without turning your preparation into a machine-learning engineering course. - Study laws and frameworks by application.
Ask how a requirement changes an organization's development, deployment or monitoring decisions. - Practice lifecycle thinking.
Connect governance with design, training, testing, deployment and ongoing monitoring. - Complete scenario questions.
AI governance decisions often involve balancing technical, legal, ethical and organizational considerations. - Take a full practice exam.
IAPP's official practice examination contains 100 questions in the same format as the certification exam.
Where Can You Take the IAPP AIGP Exam?
After purchasing the exam, candidates have one year to schedule and complete it. The examination can currently be taken:
- At a Pearson VUE testing center, or
- Remotely using Pearson VUE OnVUE
The official AIGP exam product page confirms both delivery options.Computer-based results are generally available immediately after completing the examination.
What Is the IAPP AIGP Certification Badge?
Candidates searching for the IAPP AIGP certification badge are usually referring to the official AIGP certification seal or credential displayed after certification.IAPP visibly uses an AIGP certification seal in its certification and training materials. More importantly, passing the exam alone is not the final administrative step: the credential must meet IAPP's certification activation and maintenance requirements before it is treated as active. Avoid using unofficial or altered IAPP certification graphics when presenting the credential professionally.
How Do You Maintain AIGP Certification?
The current AIGP certification term is two years.To maintain the credential, certification holders must:
- Earn 20 continuing education credits applicable to the AIGP Body of Knowledge.
- Maintain the applicable certification maintenance requirement.
For IAPP members, the maintenance fee is included as a membership benefit. Nonmembers pay the applicable maintenance fee when renewing.This requirement is particularly relevant to AI governance because regulation, standards and AI practices are changing quickly.
Is AIGP Certification Worth It?
Whether AIGP certification is worth it depends more on your responsibilities than your current job title.It has particularly strong alignment if you work at the intersection of:AI + Risk + Regulation + Governance + Privacy + ComplianceFor example, the credential can be relevant if you need to:
- Build AI governance policies
- Conduct or oversee AI risk assessments
- Evaluate AI use cases
- Establish lifecycle controls
- Interpret AI regulatory obligations
- Govern training and testing data
- Monitor deployed AI systems
- Coordinate legal, technical and business stakeholders
The IAPP positions AIGP as a credential for professionals who need to understand and execute responsible AI governance across industries.
Who Should Prioritize AIGP in 2026?
The IAPP AIGP Certification makes the most sense when your job increasingly involves decisions about whether AI should be used, how it should be governed, what risks need assessment, which controls are required, and how deployed systems should be monitored.Before purchasing an AIGP certification training program, download the current Body of Knowledge, identify gaps across its four major areas, and build your preparation around scenario-based governance decisions. With the exam now covering 100 questions in 2.75 hours and using a 300/500 passing scale, understanding how AI governance works in practice is more valuable than simply memorizing terminology.


