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Exam Details

• Exam Name: NIST AI RMF Certified Expert (AIRMF-CE)
• Exam Format: Multiple choice, online with remote supervision (proctoring)
• Exam Delivery: Safe Exam Browser
• Number of Questions: 50 questions: 70% scenarios / 30% conceptual
• Exam Duration: 90 minutes
• Passing Score: 70% (35 out of 50 correct answers)
• Available Languages: Spanish / English
• Attempts: Maximum 2 attempts (minimum 15 days between attempts)
• Validity: 3 years · 20 CPD credits per year

Main Subjects

• AI RMF fundamentals and trustworthy AI characteristics (12%): Purpose, audience and voluntary nature of the AI RMF; AI-specific risks and harms versus traditional technology risks; The seven characteristics of trustworthy AI; The four functions of the framework and the complementary role of the Playbook.
• The Govern function (20%): Govern as the cross-cutting foundation of the other functions; AI risk management policies, processes and procedures; Roles, responsibilities and accountability; Third-party risks: external suppliers, models and data; Organizational risk management culture and continuous improvement.
• The Map function (18%): Business context, purpose and intended use of the system; Categorization by capability, application domain and technical method; Benefits, costs and impacts on individuals, groups and the organization; Anticipated and unanticipated risks, including third-party risks, across the lifecycle.
• The Measure function (18%): Quantitative and qualitative assessment methods; Validity, reliability and robustness; Bias, fairness and impact on affected groups; Continuous monitoring of performance and emerging risks in production.
• The Manage function (18%): Prioritizing risks by likelihood and magnitude of impact; Risk response: mitigate, transfer, avoid or accept with documentation; Continuous monitoring and response to AI incidents; Sustained management throughout the lifecycle, including system decommissioning.
• Profiles, integration with other frameworks and professional ethics (14%): AI RMF profiles: temporal (current and target), use-case and cross-sectoral; Using the Playbook to identify suggested actions; Complementarity with ISO/IEC 42001 and ISO/IEC 27001; Transparency, fairness, privacy and human oversight; CertJoin Code of Ethics.

Who is this certification for?

• Risk management and compliance: Professionals who need to extend their framework to the specific risks of artificial intelligence.
• Data and AI governance leaders: Who seek a structured, recognized reference to govern the use of AI.
• Information security: Professionals who need to understand the particular risks that artificial intelligence introduces.
• Management system consultants and auditors: Who want to extend their skills portfolio to AI risk management.
• AI product and project leaders: Who need to apply a recognized risk management framework to their initiatives.

Prerequisites

No mandatory prerequisites: no prior professional experience, specific academic training or other certification is required. Registration is direct with CertJoin or through an authorized partner. Recommended (not mandatory): basic knowledge of risk management, data or AI governance, or information security, and having worked with ISO/IEC 27001 or ISO/IEC 42001.