Global Standard Certification

Certified AI Risk Manager (AIRM)

The leading certification for professionals mastering AI risk identification, assessment, mitigation, and continuous monitoring across the entire AI life-cycle.

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3000+

Certified professionals

30%

Avg. salary increase

180+

Recognized countries

AIRM Certification

Professional Credential

Global Recognition
Industry-Standard Curriculum
Regulatory Compliance Focus
Career Advancement

Issued by FCPAA Association

About AIRM Certification

The definitive professional standard for managing the complex risks associated with Artificial Intelligence systems.

Strategic Risk Integration

Mastering the full AI Risk Lifecycle from initial design and development to post-deployment monitoring and maintenance.

Regulatory Compliance

Applying global standards such as the EU AI Act, NIST AI RMF, and ISO 42001 to ensure legal and ethical adherence.

Technical Risk Control

Designing and implementing controls for specific AI risks, including model bias, data poisoning, adversarial attacks, and lack of explainability.

Organizational Assurance

Providing confidence to stakeholders, boards, and regulators that the organization's AI initiatives are governed and managed effectively.

"Developed by the FCPAA Association, the AIRM program moves beyond theoretical governance to focus on the practical, technical, and operational aspects of risk mitigation. It provides a structured methodology for integrating AI risk management into the Enterprise Risk Management (ERM) framework, ensuring that innovation is pursued responsibly and within regulatory boundaries."

Why Choose AIRM Certification

A commitment to excellence that translates directly into career growth and organizational value.

Career Advancement

Elevate your profile as a specialist capable of bridging the gap between AI innovation and corporate risk tolerance. The AIRM is a recognized mark of expertise for Chief Risk Officers, Compliance Managers, and AI Auditors.

Organizational Value

Drive responsible AI adoption by establishing robust, scalable risk management processes that protect the organization from financial, reputational, and legal harm.

Technical Depth

Gain hands-on proficiency in advanced risk assessment techniques, including quantitative risk metrics and the use of AI-specific Key Risk Indicators (KRIs).

Global Community

Join an exclusive network of certified AI Risk Managers, gaining access to FCPAA's continuous professional development resources and global best-practice sharing forums.

AIRM Certification Courses

A comprehensive curriculum designed to transform you into a proficient AI risk management professional, aligned with global AI risk frameworks.

1. AI Risk Fundamentals and Governance Context (Domain I)

Core principles of AI risk management and responsible AI fundamentals.

  • AI Definition, Types, and Risk Needs: Defining AI, its applications, and the unique need for specialized risk management (GRC M2, M1).
  • AI Risks, Harms, and Unique Characteristics: Identifying technical, operational, and ethical risks inherent in AI systems (GRC M3).
  • Responsible AI Principles: Focus on Fairness, Transparency, Accountability, and their role in risk mitigation.
  • AI Risk Governance Stakeholder Roles: Defining the roles and cross-functional collaboration required for effective AI risk oversight (GRC M13).

2. AI Risk Frameworks, Standards, and Regulatory Landscape (Domain II)

Global laws, standards, and frameworks governing AI risk and compliance.

  • Global AI Risk Management Frameworks: In-depth study of the NIST AI Risk Management Framework (AI RMF) and its four functions (Govern, Map, Measure, Manage).
  • Legal and Compliance Requirements: Data Privacy Laws (e.g., GDPR, CCPA) and their impact on AI risk; AI-specific regulations (e.g., EU AI Act).
  • AI Risk Classification and Appetite: Understanding risk-based classification (Prohibited/High/Limited/Minimal Risk) and defining the organization's AI Risk Appetite (GRC M6).
  • Industry Standards: Application of ISO/IEC 42001 (AI Management System) and other relevant standards.

3. AI Risk Assessment and Mitigation Strategies (Domain III)

Systematic assessment, control design, and mitigation of AI risks throughout the development life-cycle.

  • AI Risk Assessment Methodology: Implementing a structured AI Risk Assessment process (GRC M8), including scenario identification, likelihood, and impact analysis.
  • AI Controls Management: Defining, designing, and implementing effective AI Controls (GRC M4, M10) to mitigate identified risks.
  • Data and Model Risk Mitigation: Addressing data quality, bias, and security risks; Model Validation, Testing, and Evaluation (V&V) from a risk perspective.
  • AI Risk Metrics and Indicators: Establishing and monitoring key AI Risk Metrics (GRC M9) and Key Risk Indicators (KRIs).

4. AI Risk Monitoring, Reporting, and Enterprise Integration (Domain IV)

Responsible deployment, continuous monitoring, maintenance, and integration of AI risk management into ERM.

  • Deployment and Continuous Monitoring: Pre-Deployment Readiness Assessment; Continuous Monitoring for model drift and performance degradation.
  • Vendor Risk Management: Managing risks associated with third-party AI solutions and services.
  • Incident Management and Post-Market Surveillance: Establishing processes for AI risk incident response and Post-Market Surveillance (FCPAA CAGP Domain IV).
  • AI Risk Reporting and ERM Integration: Key elements of AI Governance & Risk Management Reporting (GRC M11); Integrating with Enterprise Risk Management (GRC M12) and organizational policy (GRC M7).

How to Get Your AIRM Certification

Our streamlined process ensures you gain practical AI risk management expertise while earning your credential.

1

Registration

Register an account with the FCPA Association. Complete your profile and submit required documentation. If you already have an account, you can log in here.

2

Course Completion

Successfully complete coursework with videos and read PDFs at your pace to prepare for the certification exam.

3

Final Assessment

Pass the comprehensive AIRM examination.

4

Certification Award

After the association's review and approval, download your official AIRM e-certificate.

Exam Information

Everything you need to know about the AIRM Certification test

Exam Topics

  • AI Risk Fundamentals and Governance Context (Domain I)
  • AI Risk Frameworks, Standards, and Regulatory Landscape (Domain II)
  • AI Risk Assessment and Mitigation Strategies (Domain III)
  • AI Risk Monitoring, Reporting, and Enterprise Integration (Domain IV)

Test Formats

  • 60 multiple-choice questions
  • 120-minute time limit
  • Minimum passing score: 70%
  • Retake option available for $9.9 after initial attempt

Certificate Sample

AIRM Certificate Sample

Certification Maintenance

To maintain your AIRM certification, you must complete 20 hours of Continuing Professional Education (CPE) every two years.

  • 10 hours of AI risk management-related CPE (frameworks, emerging trends, controls).
  • 10 hours of ethical AI and compliance CPE.

Investment in Your Future

Limited Time Offer - Early Bird Pricing

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Early Bird Pricing - Limited Time Only

What You Get

  • Complete 12-week program
  • Online sessions
  • Hands-on case studies
  • AIRM certification
  • 1-year access to materials
  • 1-year post-certification support
Enroll Today

Certification Feedback

Our Certified AI Risk Managers possess exceptional expertise in identifying, assessing, and mitigating AI risks.

★★★★★

5.0/5.0

"The advanced AI risk assessment methodology and model risk quantification techniques learned from the AIRM certification directly helped our company integrate our generative AI credit model into the Enterprise Risk Management (ERM) framework. This resulted in a 45% reduction in financial exposure from potential model failures and cut the time for high-risk model approval by 35%."

Li Mei

Li Mei

AI Risk Director, China

★★★★☆

5.0/5.0

"The safety-critical AI risk control module and the continuous risk monitoring plan from the AIRM certification helped us build a robust risk framework for our smart manufacturing line. We successfully reduced the probability of operational failure due to AI system errors by 60%, leading to a 40% reduction in production line downtime and maintenance costs."

Kenji Tanaka

Kenji Tanaka

Head of AI Risk Management, Japan

★★★★★

5.0/5.0

"Managing cross-border AI projects in the Seoul Free Trade Zone requires precise regulatory risk assessment—professional risk management skills are non-negotiable. The AI risk mitigation frameworks and high-risk system management tools from the Certified AI Risk Manager program helped our company meet both the EU AI Act's high-risk system requirements and South Korea's AI Basic Law standards."

Park Ji-young

Park Ji-young

AI Risk Team Lead, South Korea

★★★★★

5.0/5.0

"Toronto's tech firms are rushing to adopt generative AI for customer service, but the ethical and fairness risks are significant. The AI bias detection and continuous monitoring methods from the AIRM certification helped our company build a full AI risk management system, reducing model bias incidents by 40% and speeding up the risk-adjusted approval of new AI projects by 55%."

David Miller

David Miller

AI Risk Lead, Canada

★★★★★

5.0/5.0

"Earning the Certified AI Risk Manager credential was my key to navigating London's complex regulatory landscape! Before, I only handled basic data risk, but now? The expertise in operationalizing the NIST AI RMF and managing high-risk systems under the proposed UK AI Regulation from the program let me design a comprehensive risk framework for a major financial institution."

Eleanor Vance

Eleanor Vance

Global AI Risk Manager, UK

★★★★★

5.0/5.0

"In Silicon Valley, innovation moves fast, but the regulatory and liability risks of Generative AI are immense. The AIRM certification provided me with the structured approach needed to manage these risks. Specifically, the modules on managing model hallucination, IP infringement risk, and bias in large language models helped our company build a robust, compliant GenAI platform."

Marcus Jones

Marcus Jones

VP of AI Risk and Compliance, USA

Ready to Lead Responsible AI Risk Management?

Enroll today and become a certified AIRM professional—where compliance, risk management, and innovation meet AI.

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