Lead AI Risk Manager (PECB Certified) - Including Exam

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

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

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

• 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 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

Certification

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

PECB Certified AI Risk Provisional Manager

• Exam: PECB Certified Lead 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 Lead 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 Lead AI Risk Manager

• Exam: PECB Certified Lead AI Risk Manager Exam, or equivalent
• Professional experience: 5 years, of which 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 Senior Lead AI Risk Manager

• Exam: PECB Certified Lead AI Risk Manager Exam, or equivalent
• Professional experience: 10 years, of which at least 7 in AI risk management
• Information Security Management experience: At least 1000 hours of AI risk management activities
• Other requirements: 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:

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

• None

- 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.