PECB CERTIFIED AI RISK MANAGER

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 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 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

Course agenda: Duration 5 day

Day 1: Introduction to AI risk management
Day 2: AI risk identification, assessment, and measurement
Day 3: AI risk mitigation, governance, and incident response
Day 4: AI risk monitoring and continual improvement
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
> 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
> Identify and assess 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
> Integrate AI risk management into business strategy, ensuring AI initiatives align with organizational objectives while maintaining compliance with industry regulations

Certification

After successfully completing the exam, you can apply for one of the credentials shown on the table below. You will receive a certificate once you fulfill all the requirements of the selected credential.

General information

• Certification fees are included in the exam price.
• Participants will be provided with training course materials containing over 450 pages of information, practical examples, 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.
• Candidates who have completed the training course but failed the exam are eligible to retake it once for free within a 12-month period from the initial date of the exam.