Certified Lead AI Risk Manager

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.

Course 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
  • 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

Audience:

  • 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

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.

Certification

After successfully completing the exam, you can apply for the credentials shown on the table below. You will receive a certificate once you comply with all the requirements related to the selected credential. For more information about ISO/IEC 27001 certifications and the PECB certification process, please refer to the Certification Rules and Policies.

Certification Lead AI Risk Manager

 

Course outline:

  Introduction to AI risk management  

 

  Organizational context, AI risk governance, and AI risk identification es

   Analysis, evaluation, and treatment of AI risks  

 Analysis, evaluation, and treatment of AI risks  

Certification Exam

  1. Preparation for exam
  2. Exam

The exam is will take place at the end of the course on onsite classroom courses

For Virtual courses we will send out a voucher that gives you access to an online exam. This can be booked and taken home monitored by a proctor via camera. More information about the exam rules will be send fromPECB.

Test details:

  • The exam duration is three (3) hours. Non-native speakers receive an additional half an hour.
  • The exam contains essay type questions. 


As the exam is an Multiple Choice, candidates are authorized to use:

  • Course notes from the Participant Handout;
  • Any personal notes made by the student during the course; and
  • A hard copy dictionary

Examination rules and policies

RECEIVE YOUR EXAM RESULTS

Results will be communicated by email in a period of 6 to 8 weeks, after taking the exam. The results will not include the exact grade of the candidate, only a mention of pass or fail.

Candidates who successfully complete the examination will be able to apply for a certified scheme which is explained in the course description.

In the case of a failure, the results will be accompanied with the list of domains in which the candidate had failed to provide guidance for exams’ retake preparation.

Candidates, who disagree with the exam results, may file a complaint by writing to examination@pecb.com or through PECB ticketing system.

EXAM RETAKE POLICY

There is no limit on the number of times a candidate may retake an exam. However, there are some limitations in terms of allowed time-frame in between exam retakes, such as:

  • Students, who have completed the full training but failed the written exam, are eligible to retake the exam once for free within a 12 month period from the initial date of the exam.
  • If a candidate does not pass the exam on the second attempt, he/she must wait 3 months (from the initial date of the exam) for the next attempt (2nd retake). Retake fee applies.
  • If a candidate does not pass the exam on the third attempt, he/she must wait 6 months (from the initial date of the exam) for the next attempt (3rd retake). Retake fee applies.

After the fourth attempt, a waiting period of 12 months from the last session date is required, in order for candidate to sit again for the same exam. Regular fee applies.

For the candidates that fail the exam in the 2nd retake, PECB recommends to attend an official training in order to be better prepared for the exam.

To arrange exam retakes (date, time, place, costs), the candidate needs to contact Glasspaper.

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