The AI Risk Management (AIRM) Certification Course is a comprehensive, instructor-led program designed to equip professionals with the strategies, frameworks, and decision-making tools needed to manage risks emerging from artificial intelligence systems. As organizations rapidly adopt AI across operations, finance, healthcare, legal, and public sectors, the ability to identify, assess, and mitigate AI-specific risks has become essential for business resilience and regulatory compliance.

This course blends risk governance, ethics, operational management, and emerging AI regulations to prepare leaders to navigate the evolving AI risk landscape responsibly.

Course Format and Certification

• Duration: 3 days (12 hours total)

• Delivery: Live online sessions with real-time case discussions, risk scenario workshops, and expert-led lectures

• Final Assessment: Optional 100-minute online exam with 75 scenario-based and multiple-choice questions

• Passing Score: 75% or higher

• Certification: Participants who pass the final exam will be awarded the AIRM-C (AI Risk Management Certification) diploma and can use the “AIRM-C” designation professionally

• CPE Credits: 12 Continuing Professional Education (CPE) credits granted with the diploma upon course completion (regardless of exam)

Who Should Attend

This course is highly recommended for:

• Enterprise risk managers and analysts

• Governance, compliance, and ethics officers

• Data governance and privacy leaders

• Operational and financial risk professionals

• IT and AI program managers

• Legal counsel and regulatory compliance advisors

• Public sector and NGO governance officers

• Professionals seeking to integrate AI risk oversight into their risk management frameworks

No coding or AI development background is required. Prior risk management experience is recommended.

What You Will Gain

• A comprehensive understanding of AI-specific risks across operational, ethical, reputational, and regulatory domains

• Familiarity with leading AI risk management standards and frameworks, including NIST AI RMF, ISO/IEC 23894, and industry-specific guidelines

• Techniques for conducting AI risk assessments, heat maps, and control evaluations

• Insights into managing risks related to AI bias, model drift, adversarial attacks, and explainability

• Best practices for integrating AI risk controls into enterprise risk management (ERM) structures

• A recognized certification credential in AI risk governance and oversight (optional exam available)

Next Steps

After completing the course, participants may schedule their optional certification exam through the AI Risk Institute’s online certification portal. Successful candidates will receive a digital certificate and official diploma signifying their AIRM-C designation.

Secure your seat now and take the next step toward mastering AI risk management in a rapidly evolving digital world.

Included in this course