PECB Certified Lead AI Risk Manager (EN)

What is included?

• You have 12 months time as of reception of the learning material to learn, do the exam and get your certification
  
• Certification and examination fees are included in the price of the training course. 
• Participants will receive the training course material containing over 450 pages of explanatory information, examples, best practices, exercises, and quizzes. 
  
• An Attestation of Course Completion worth 31 CPD (Continuing Professional Development) credits will be issued to the participants who have attended the training course. 
• If candidates fail the exam, they can retake it for free within 12 months of the course completion.
• + 20% reduction on the first year subscription for our all-in-one ISMS/GRC management solution

Why should you take this training course?

Artificial intelligence (AI) is transforming industries at an accelerated pace, driving innovation while simultaneously introducing new risks and challenges. As AI technologies advance, organizations must address critical concerns such as bias, security threats, transparency, and regulatory compliance. Managing these risks effectively requires a specialized approach that goes beyond traditional risk management frameworks.

The PECB Certified Lead AI Risk Manager certification validates your expertise in identifying, assessing, and mitigating AI-related risks while ensuring compliance with industry frameworks and regulations.

Upon passing the certification exam, participants can apply for the “PECB Certified Lead AI Risk Manager” credential.

Who should attend?

This training course is intended for:

• Professionals responsible for identifying, assessing, and managing AI-related risks within their organizations
• IT and security professionals seeking expertise in AI risk management
• Data scientists, data engineers, and AI developers working on AI system design, deployment, and maintenance
• Consultants advising organizations on AI risk management and mitigation strategies
• Legal and ethical advisors specializing in AI regulations, compliance, and societal impacts
• Managers and leaders overseeing AI implementation projects and ensuring responsible AI adoption
• Executives and decision-makers aiming to understand and address AI-related risks at a strategic level

Training course structure

Day 1: Introduction to AI risk management

Day 2: Organizational context, AI risk governance, and AI risk identification

Day 3: Analysis, evaluation, and treatment of AI risks

Day 4: AI risk monitoring and reporting, training and awareness, and optimizing AI risk performance

Day 5: Certification exam

Learning objectives

 Upon successfully completing the training course, participants will be able to:

• Understand AI risk management fundamentals, including key concepts, approaches, and techniques for identifying, assessing, and mitigating AI-related risks
• Identify, analyze, evaluate, and treat AI risks, such as bias, security vulnerabilities, transparency issues, and ethical concerns
• Develop and implement risk mitigation strategies and incident response measures to address AI-related threats and vulnerabilities
• Apply established AI risk management frameworks, such as the NIST AI Risk Management Framework and the EU AI Act, to ensure governance, compliance, and ethical AI use

Examination

The “PECB Certified Lead AI Risk Manager” exam meets all the requirements of the PECB Examination and Certification Program (ECP). It covers the following competency domains:

Domain 1: AI risk principles, concepts, and regulations

Domain 2: AI risk management program and governance

Domain 3: AI risk identification and analysis

Domain 4: AI risk evaluation, treatment, and monitoring

Domain 5: Organizational learning and performance improvement

For specific information about the exam type, languages available, and other details, please visit the List of PECB Exams and the Examination Rules and Policies.

Certification

Upon the successful completion of the exam, you can apply for the “PECB Certified Lead AI Risk Manager” credential, depending on your level of experience, as shown in the table below. You will receive the certificate once you fulfill all the relevant educational and professional requirements.

To be considered valid, AI risk management activities should follow best implementation and management practices and include the following:

1. Determining the AI risk management objectives and scope
2. Performing AI risk assessment
3. Developing an AI risk management program
4. Defining AI risk evaluation and risk acceptance criteria
5. Evaluating risk treatment options for AI risks
6. Monitoring and reviewing the AI risk management program

Note: For more information about Lead AI Risk Manager certifications and the PECB Certification process, please refer to Certification Rules and Policies.

Contact us on [email protected] if you have other questions