Lead AI Risk Manager

AI helps organizations work faster, and it also brings new risks. An AI tool can give wrong answers, treat groups of people unfairly, expose private data or reach results that are hard to explain.

AI risk management is the work of finding these risks early, judging how serious they are, choosing ways to reduce them and watching them over time. Three sources guide this work. The NIST AI Risk Management Framework is voluntary guidance from the U.S. National Institute of Standards and Technology. The EU AI Act is the European Union's law on AI. The MIT AI Risk Repository is a public database of AI risks, maintained by researchers at MIT.

The PECB Lead AI Risk Manager training course prepares you to identify, assess, treat and monitor the risks that come with AI systems. Drawing on these three sources, it covers AI risk governance, regulatory compliance and ethical risk management.

Course Summary

Delivery format: Self-study
Language: English
Suggested study schedule (The Tech Academy): 14 days at 3 hours a day, about 42 hours in total. Plan more time if the subject is new to you or you want extra practice and revision. PECB plans this course as five days of study, including the exam.
Included: More than 450 pages of PECB course material, the exam and certification fees and an attestation of course completion worth 31 CPD credits
Credential: Passing the exam lets you apply for a PECB AI Risk Manager credential. PECB awards the level that matches your experience, starting at AI Risk Provisional Manager for people new to the field. Certification Requirements, farther down this page, lists every level

Why Should You Attend?

AI risks call for specialized methods, and organizations need people trained to apply them.

In this course, you work through real-world AI risk scenarios drawn from the MIT AI Risk Repository and practice choosing ways to reduce each risk. After the course, you can sit the exam and apply for the PECB Certified Lead AI Risk Manager credential, or the level that matches your experience.

Who Should Attend?

Professionals who identify, assess and manage AI risks in their organization
IT and security professionals who want to add AI risk management expertise
Data scientists, data engineers and AI developers who design, deploy or maintain AI systems
Consultants who advise organizations on reducing AI risk
Legal and ethics advisors focused on AI regulation, compliance and societal impact
Managers and leaders who oversee AI projects and responsible AI adoption
Executives who need a strategic view of AI risk

Learning Objectives

By the end of this course, you will be able to:

Explain the fundamentals of AI risk management, including its key concepts, approaches and techniques
Identify, analyze, evaluate and treat AI risks such as bias, security weaknesses, limited transparency and ethical concerns
Develop and carry out risk mitigation strategies and incident response measures
Apply frameworks such as the NIST AI Risk Management Framework and the EU AI Act to support governance, compliance and ethical AI use

Educational Approach

Theory combined with practical application and real-world examples
Scenario-based exercises and multiple-choice quizzes
Quizzes structured like the certification exam

Prerequisites

A fundamental knowledge of AI concepts and general knowledge of risk management principles. Familiarity with AI governance frameworks such as the NIST AI RMF or the EU AI Act is helpful.

Course Agenda

The topics follow PECB's five-day plan for this course. At your own pace, you work through them in this order.

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 improving AI risk performance
Day 5: Certification exam

Examination

The PECB Lead AI Risk Manager exam covers five 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

PECB's list of exams gives the exam type, duration and available languages.

Certification Requirements

After you pass the exam, you apply for the credential that matches your experience. Every level requires a pass on the PECB Lead AI Risk Manager exam, or an equivalent, and a signed PECB Code of Ethics.

Credential	Professional experience	AI risk management experience
PECB Certified AI Risk Provisional Manager	None	None
PECB Certified AI Risk Manager	2 years, including 1 year in AI risk management	200 hours
PECB Certified Lead AI Risk Manager	5 years, including 2 years in AI risk management	300 hours
PECB Certified Senior Lead AI Risk Manager	10 years, including 7 years in AI risk management	1,000 hours

AI risk management experience can include setting AI risk management objectives and scope, performing AI risk assessments, developing an AI risk management program, defining risk evaluation and acceptance criteria, evaluating risk treatment options, and monitoring and reviewing the program.

Questions About Enrolling

Does passing the exam make me certified?

Passing the exam lets you apply for a PECB credential, and PECB reviews your application. Foundation credentials are open to everyone who passes the exam and signs the PECB Code of Ethics. For Lead Implementer, Lead Auditor and Lead Manager courses, PECB awards the level that matches your experience. If you are new to the field, you start at the Provisional level and can apply to upgrade as you gain experience. Each course page lists the requirements for every level.

Can I add a portfolio program?

Yes, with ISO/IEC 27001 Foundation, ISO/IEC 27001 Lead Implementer and ISO/IEC 42001 Lead Implementer. Each portfolio program is a separate Tech Academy program with its own price and enrollment.

Explore the portfolio programs and find the one for your course

Do I need a portfolio program to get exam support?

Exam support, including office hours every two weeks for 90 days from enrollment, comes with the ISO/IEC 27001 and ISO/IEC 42001 courses themselves. Portfolio programs are an optional extra, sold separately.

Can I join a portfolio program if I trained with another provider?

Yes. Each portfolio program is sold on its own, for anyone who is taking or has completed the matching training.