Earning the GARP Risk and AI Certificate
The GARP Risk and AI (RAI) Certificate is globally recognized as a leading credential for professionals who need to understand and manage AI-related risks in modern organizations. It signals a practical grasp of how AI and machine learning are used in decision-making—and the key risks that come with them, including model limitations, data quality issues, bias and fairness concerns, transparency and explainability challenges, privacy and security risks, and third-party/vendor exposure.
The RAI Program, administered by GARP, strengthens both foundational knowledge and real-world application, helping professionals build the skills required to support responsible AI adoption through effective governance, controls, and ongoing monitoring across the AI lifecycle.
Understanding the GARP RAI Exam
Benefits of Earning the GARP RAI Certificate
Boost Your Career
Gain valuable expertise at the intersection of risk management and AI, building the capability to oversee AI-driven decision systems and support responsible adoption across your organization.
Essential AI Risk Knowledge
Stay ahead by understanding key AI risk topics, including data quality and privacy, model risk and performance drift, bias and fairness, and transparency/explainability—all critical for effective oversight.
Professional Recognition
Strengthen your credibility in the job market and signal to employers that you can evaluate, challenge, and govern AI use cases with a structured risk and control mindset.
Practical Governance and Controls
Learn how AI risks are managed in practice through governance frameworks, control design, validation approaches, and ongoing monitoring—so you can apply concepts directly to real organizational workflows.
Why the GARP RAI Certificate?
In today’s rapidly evolving financial and business landscape, the use of AI and machine learning is accelerating—and so are the risks. The GARP Risk and AI (RAI) Certificate equips professionals with the knowledge and skills to identify, assess, and manage AI-related risk, including model limitations, data quality issues, bias and fairness concerns, transparency and explainability challenges, privacy and security exposure, and third-party/vendor risk.
Career Opportunities
AI Risk Analyst
Model Risk Manager (AI/ML)
AI Governance & Controls Specialist
Responsible AI / Model Validation Specialist
AI Compliance & Risk Advisory Consultant
Considering the GARP RAI?
Earning a Certificate
Earning the GARP Risk and AI (RAI) Certificate shows you can assess and manage AI/ML risks in real decision systems. It strengthens your credibility across risk, compliance, audit, governance, and model risk roles.
Exam Details
The RAI program is administered by GARP and centers on AI fundamentals, tools and techniques, risks and risk factors, responsible and ethical AI, and data/model governance. The exam tests practical understanding through application-focused questions.