Lead AI Risk Manager
Course Outline
The Lead AI Risk Manager training course equips participants with the essential knowledge and skills to identify, assess, mitigate, and manage AI-related risks.
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.
Who Is This For?
This training course is designed for professionals responsible for identifying, assessing, and managing AI-related risks within their organisation. It is ideal for IT and security professionals seeking expertise in AI risk management, as well as data scientists, data engineers, and AI developers involved in AI system design, deployment, and maintenance. The course is also suitable for consultants advising organisations on AI risk mitigation, legal and ethical advisors specialising in AI regulations and compliance, managers and leaders overseeing AI implementation projects, and executives and decision-makers aiming to understand and address AI-related risks at a strategic level.
What Will I Learn?
Upon successfully completing the Lead AI Risk Manager 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. They will gain the skills to identify, analyse, evaluate, and treat AI risks such as bias, security vulnerabilities, transparency issues, and ethical concerns.
Participants will also be able to develop and implement risk mitigation strategies and incident response measures to address AI-related threats and vulnerabilities, and apply established AI risk management frameworks, including the NIST AI Risk Management Framework and the EU AI Act, to ensure governance, compliance, and ethical AI use.
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.
ELCAS Accreditted
CompTIA Authorized
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.
For additional information, please contact at marketing@pecb.com, or visit www.pecb.com.
ELCAS Accreditted
CompTIA Authorized
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Examination & Certification
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
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
Dates & Locations
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Each training course is divided into video sections and subsections.
Videos contain animations to support what the trainer is lecturing — the animations correspond to the sections provided in the traditional mode of training.
To keep our candidates engaged, we have incorporated quizzes into our eLearning training courses.
