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Course Overview

The Lead AI Risk Manager training course equips participants with the essential knowledge and skills to identify, assess, mitigate, and manage AI-related risks. Based on leading frameworks such as the NIST AI Risk Management Framework, the EU AI Act, and insights from the MIT AI Risk Repository, this course provides a structured approach to AI risk governance, regulatory compliance, and ethical risk management.

Participants will also analyze real-world AI risk scenarios from the MIT AI Risk Repository, gaining practical insights into AI risk challenges and effective mitigation strategies.

Why Should You Attend Lead AI Risk Manager 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 Can Attend Lead AI Risk Manager training course?

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

Learning Objectives of Lead AI Risk Manager training course

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

What is included in PECB Lead AI Risk Manager Course material?

• 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.

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

General Information

• Certification and examination fees are included in the price of the training course.
• Participants will be provided with 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.
• In case candidates fail the exam, they can retake it within 12 months following the initial attempt for free.

Important: All PECB certification activities must be completed within 12 months of enrollment through QuantumGovern Inc. This includes taking the first exam attempt, any retake (2nd attempt, if needed), applying for certification, and receiving your PECB certificate.

After successfully passing the exam, you can apply for one of the credentials shown below. You will receive the certificate once you comply with all the requirements related to the selected credential. For more information about ISO/IEC 42001 certifications and the PECB certification process, please refer to the Certification Rules and Policies.

The requirements for PECB Lead AI Risk Manager certifications are as follows:

FAQ Questions