Lead AI Risk Manager

Artificial intelligence introduces new risks and challenges — bias, security threats, transparency, and regulatory compliance — that require a specialized approach 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.

Who should attend?

• Professionals responsible for identifying, assessing, and managing AI-related risks
• IT and security professionals seeking expertise in AI risk management
• Data scientists, data engineers, and AI developers
• Consultants, legal and ethical advisors specializing in AI regulations and compliance
• Managers, leaders, and executives overseeing AI adoption

Course agenda

• 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

• Understand AI risk management fundamentals, concepts, approaches, and techniques
• 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
• Apply frameworks such as the NIST AI Risk Management Framework and the EU AI Act

Examination

Exam duration: 3 hours.

General information

• More than 450 pages of training materials, including practical examples, exercises and quizzes.
• An attestation of course completion worth 31 CPD (Continuing Professional Development) credits.

Language: available in English. For another language, send us a request and we will check availability.