Lead AI Risk Manager is a five-day course on identifying, assessing and treating the risks that AI systems create. It is built around recognised frameworks, including the NIST AI Risk Management Framework and the EU AI Act, rather than a single ISO standard.
Choose it if you own AI risk in a risk, compliance, security or data team. If you need to build a certifiable management system for AI, look at ISO/IEC 42001 Lead Implementer.
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 You Should 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 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 Should Attend?
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; and executives and decision-makers aiming to understand and address AI-related risks at a strategic level.
Learning Objectives
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; and 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.
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.
Live classes for this course are led by Islam Elzayat, a PECB Certified Trainer with more than 17 years of experience in IT governance, cybersecurity GRC, IT audit and IT service management, including more than 500 third-party audit days. Full profile and verified badges.
Live classes are held online. Class hours are arranged with the participants to suit their time zones. The self-study and hybrid options start as soon as your course is assigned.
The course covers five days of content, with the certification exam on the fifth day, and carries 31 CPD credits. In the self-study format you cover the same material at your own pace.
Yes. The course fee includes the PECB certification and examination fees. If you do not pass, one complimentary retake is available within 12 months of your first attempt.
You need a fundamental understanding of AI concepts and a general knowledge of risk management principles.
It is available as self-study (English), hybrid learning (English) and live online class (English). Choose the format and language before adding the course to your cart.
Hybrid learning combines the self-paced course with one day of one-to-one live coaching with the instructor. The day can be split into a half day before you start studying and a half day before your exam, so you go in prepared.
The next live classes start on Thursday, 10 December 2026, 9:00 am and on Thursday, 22 July 2027, 9:00 am. They are held online and led by Islam Elzayat. Class hours are arranged with the participants to suit their time zones. Select “Live Event” and your date before adding the course to your cart.
PECB issues the certificate. After passing the exam you can apply for the “PECB Certified Lead AI Risk Manager” credential. Horus Academy is a PECB Authorized Silver Partner and does not issue the certificate itself.
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
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.
| Credential | Exam | Professional experience | Information Security Management experience | Other requirements |
|---|---|---|---|---|
| PECB Certified AI Risk Provisional Manager | PECB Certified Lead AI Risk Manager Exam, or equivalent | None | None | Signing the PECB Code of Ethics |
| PECB Certified AI Risk Manager | PECB Certified Lead 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 Lead AI Risk Manager | PECB Certified Lead 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 Senior Lead AI Risk Manager | PECB Certified Lead 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:
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
