Price:
1799 eur + KM, self-study and e-learning 1499 eur + KM.
Certification and examination fees are included in the price of the training course.
Participants will be provided:
with the training course material containing over 400 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.
In case candidates fail the exam:
they can retake it within 12 months following the initial attempt for free. This applies only to the candidates who have attended the training course.
Why Should You Attend?
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 can Attend?
- 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
Learning objectives
- 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
- Continually monitor, evaluate, and improve AI risk management processes to adapt to emerging risks and evolving AI technologies
- Advise key stakeholders on responsible AI adoption, providing guidance on ethical AI deployment, regulatory compliance, and best practices in AI risk governance
Educational approach
- The training course combines theoretical knowledge with practical applications, using real-world examples to illustrate the identification and mitigation of AI risks.
- The course includes various interactive activities, such as scenario-based exercises and multiple-choice quizzes, designed to deepen understanding of AI risk management principles.
- Participants are encouraged to engage in discussions and collaborate during exercises and quizzes.
- The quizzes are structured similarly to the certification exam, helping participants familiarize themselves with the exam format and key concepts.
Prerequisites
The main requirements for participating in this training course are having a fundamental understanding of AI concepts and a general knowledge of risk management principles. Familiarity with AI governance frameworks, such as the NIST AI Risk Management Framework or the EU AI Act, is beneficial but not mandatory.
Examination
The “PECB Certified AI Risk Manager” exam meets all the requirements of the PECB Examination and Certification Program (ECP). It covers the following competency domains:
- Fundamental principles and concepts of AI risk management
- AI risk identification and assessment
- AI risk measurement
- AI risk mitigation, governance, and incident response
- AI risk monitoring and continual improvement strategies
For specific information about exam type, languages available, and other details, please visit the List of PECB Exams and the Examination Rules and Policies.
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.
The requirements for PECB ISO/IEC 27001 Implementer certifications are as follows:
Credential | Exam | Professional experience | Risk Management experience | Other requirements |
PECB Certified AI Provisional Risk Manager | PECB Certified AI Risk Manager Exam, or equivalent | None | None | Signing the PECB Code of Ethics |
PECB Certified AI Risk Manager | PECB Certified AI Risk Manager Exam, or equivalent | 2 years, of which at least 1 in AI risk management | At least 200 hours of AI risk management activities | Signing the PECB Code of Ethics |
PECB Certified AI Lead Risk Manager | PECB Certified AI Risk Manager Exam, or equivalent | 5 years, of which at least 2 in AI risk management | At least 300 hours of AI risk management activities | Signing the PECB Code of Ethics |
PECB Certified AI Senior Lead Risk Manager | PECB Certified AI Risk Manager Exam, or equivalent | 10 years, of which at least 7 in AI risk management | At least 1000 hours of AI risk management activities | Signing the PECB Code of Ethics
|
To be considered valid, AI risk management activities should follow best implementation and management practices and include the following:
- Establishing an AI risk management framework
- Defining AI risk management objectives and scope
- Identifying and assessing AI-related risks
- Developing an AI risk mitigation and response strategy
- Defining AI risk evaluation and acceptance criteria
- Supporting compliance with industry frameworks and regulatory requirements
- Monitoring, reviewing, and continuously improving the AI risk management program
For additional information, please contact us at cyber@kpmg.ee, or visit www.pecb.com
Course agenda
Introduction to AI risk management
AI risk identification, assessment, and measurement
AI risk mitigation, governance, and incident response
AI risk monitoring and continual improvement
Certification exam