Certified AI Risk Manager
Certified AI Risk Manager
Certification Level: Risk Manager
The Certified AI Risk Manager training course equips participants with essential knowledge and skills to identify, assess, mitigate, and manage AI-related risks. Based on leading frameworks such as the NIST AI Risk Management Framework, the EU AI Act, and the MIT AI Risk Repository, it provides a structured approach to governance, compliance, and ethical AI use. With real-world case studies and practical exercises, participants learn risk identification, mitigation strategies, incident response planning, monitoring, and continuous improvement. On completion, candidates are prepared to sit the certification exam and demonstrate expertise in responsible AI risk management.
Duration: 5 days
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PECB Certified AI Risk Manager
Who Should Attend
Who Should Attend
- Professionals responsible for identifying and managing AI-related risks
- IT, security, data scientists, data engineers, AI developers, consultants and advisors on AI risk
- Legal, ethical, compliance professionals, executives and leaders overseeing AI adoption
What You’ll Learn
What You’ll Learn
- Understand AI risk management fundamentals and governance approaches
- Apply frameworks like NIST AI RMF and the EU AI Act to ensure compliance and ethical AI use
- Identify, assess, and mitigate AI risks such as bias, security vulnerabilities, transparency, and ethics
- Develop risk mitigation strategies, incident response measures, and governance structures
- Integrate AI risk management into business strategy and monitor for continual improvement
Prerequisites
Prerequisites
A fundamental understanding of AI concepts and general knowledge of risk management principles; familiarity with NIST AI RMF or EU AI Act is beneficial but not mandatory
Exam Details
Exam Details
Exam Duration: 3 hours
Exam Format: Multiple-choice
Exam Domains:
Domain 1: Fundamental principles and concepts of AI risk management
Domain 2: AI risk identification and assessment
Domain 3: AI risk measurement
Domain 4: AI risk mitigation, governance, and incident response
Domain 5: AI risk monitoring and continual improvement strategie
What’s Included
What’s Included
- Certification and examination fees
- Training course materials (over 450 pages with examples, exercises, quizzes)
- Attestation of course completion worth 31 CPD credits
- One free exam retake within 12 months if needed
Certification Requirements
Certification Requirements
PECB Certified AI Risk Provisional Manager
- Exam: PECB Certified AI Risk Manager exam or equivalent
- Professional Experience: None
- Information Security Management experience: None
- Other Requirements: Signing the PECB Code of Ethics
PECB Certified AI Risk Manager
- Exam: PECB Certified AI Risk Manager exam or equivalent
- Professional Experience: 2 years, of which at least 1 in AI risk management
- Information Security Management experience: At least 200 hours of AI risk management activities
- Other Requirements: Signing the PECB Code of Ethics
PECB Certified AI Lead Risk Manager
- Exam: PECB Certified AI Risk Manager exam or equivalent
- Professional Experience: 5 years, with at least 2 in AI risk management
- Information Security Management experience: At least 300 hours of AI risk management activities
- Other Requirements: Signing the PECB Code of Ethics
PECB Certified AI Senior Lead Risk Manager
- Exam: PECB Certified AI Risk Manager exam or equivalent
- Professional Experience: 10 years, with at least 7 in AI risk management
- Information Security Management experience: At least 1,000 hours of AI risk management activities
- Other Requirements: Signing the PECB Code of Ethics
CPD Credits: 31
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