Lead AI Risk Manager

Lead AI Risk Manager


Overview

The Lead AI Risk Manager course is a 5-day, PECB-certified program that trains you to identify, assess, treat, and monitor risk across the AI lifecycle — from model development through deployment and ongoing operation. It builds on established international frameworks, including the NIST AI Risk Management Framework and the EU AI Act, and draws on real-world scenarios from the MIT AI Risk Repository to keep the training grounded rather than theoretical.

Delivered live by Coach2Reach, the course combines instruction with practical exercises so you leave able to build and run an AI risk management program, not just describe one. It culminates in the official PECB exam on Day 5, with credential tracks ranging from Provisional Manager through Senior Lead Manager depending on your professional experience.

Why Should You Attend?

AI is moving fast, and so are the risks that come with it — bias, security exposure, opaque decision-making, and shifting regulation. Managing that responsibly takes more than a general risk framework; it takes people who understand AI specifically.

The PECB Certified Lead AI Risk Manager credential validates exactly that: your ability to identify, assess, and mitigate AI-related risk while keeping your organization aligned with the frameworks regulators actually reference. Coach2Reach delivers the full program live, with a coach walking you through every domain and your exam preparation on Day 5.



Who Should Attend?

  • Professionals responsible for identifying and managing AI-related risk
  • IT and security professionals building AI risk expertise
  • Data scientists, engineers, and AI developers shipping AI systems
  • Consultants advising on AI risk mitigation strategies
  • Legal and ethical advisors covering AI regulation and compliance
  • Managers and leaders overseeing AI implementation projects
  • Executives who need to address AI risk at a strategic level

Learning Objectives

Understand AI risk management fundamentals — the core concepts, approaches, and techniques for identifying, assessing, and mitigating AI-related risk.

Identify, analyze, evaluate, and treat AI risks, including bias, security vulnerabilities, transparency gaps, and ethical concerns.

Develop and implement risk mitigation strategies and incident response measures for AI-related threats.

Apply established frameworks — including the NIST AI Risk Management Framework and the EU AI Act — to ensure governance, compliance, and ethical AI use.



Course Details

Day 1Introduction to AI risk management
Day 2Organizational context, AI risk governance, and AI risk identification
Day 3Analysis, evaluation, and treatment of AI risks
Day 4AI risk monitoring and reporting, training and awareness, and optimizing AI risk performance
Day 5Certification exam

Examination

The PECB Certified Lead AI Risk Manager exam meets the requirements of the PECB Examination and Certification Program (ECP) and covers the following competency domains:

Domain 1AI risk principles, concepts, and regulations
Domain 2AI risk management program and governance
Domain 3AI risk identification and analysis
Domain 4AI risk evaluation, treatment, and monitoring
Domain 5Organizational learning and performance improvement

For exam type, languages, and other details, see PECB's List of PECB Exams and Exam Rules and Policies.

Certification

After passing the exam, you can apply for one of the credentials below, based on your professional experience:

CredentialProfessional ExperienceAI Risk Management Experience
AI Risk Provisional ManagerNoneNone
AI Risk Manager2 yearsAt least 1 year, incl. 200 hrs of activity
Lead AI Risk Manager5 yearsAt least 2 years, incl. 300 hrs of activity
Senior Lead AI Risk Manager10 yearsAt least 7 years, incl. 1000 hrs of activity

All tracks require signing the PECB Code of Ethics. Full requirements: Certification Rules and Policies.

  • General Information
  • Certification fees are included in the exam price
  • Course materials cover 450+ pages, with examples, exercises, and quizzes
  • An attestation of course completion worth 31 CPD credits is issued to attendees
  • One free exam retake within 12 months if you don't pass the first time
  • Prerequisite: a fundamental understanding of AI concepts and general risk management principles
  • Familiarity with the NIST AI RMF or EU AI Act is helpful, not mandatory
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  • Duration 5 Sessions
  • Certificate Yes

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