Course Outline
Learning objectives
Upon completing this training course, you will be able to:
- Explain the fundamental concepts and principles of an AI management system based on ISO/IEC 42001.
- Interpret the ISO/IEC 42001 requirements for an AI management system from an auditor's perspective.
- Evaluate the conformity of an AI management system to ISO/IEC 42001 requirements in accordance with fundamental audit concepts and principles.
- Plan, conduct, and conclude an ISO/IEC 42001 compliance audit, adhering to ISO/IEC 17021-1 requirements, ISO 19011 guidelines, and other auditing best practices.
- Manage an ISO/IEC 42001 audit program.
Outline
Day 1: Introduction to the Artificial Intelligence Management System and ISO/IEC 42001
Day 2: Audit principles and the preparation for and initiation of an audit
Day 3: On-site audit activities
Day 4: Closing of the audit
Day 5: Certification Exam
Examination
The “PECB Certified ISO/IEC 42001 Lead Auditor” exam meets the requirements of the PECB Examination and Certification Program (ECP). It covers the following competency domains:
Domain 1: Fundamental principles and concepts of an AI management system
Domain 2: AI management system requirements
Domain 3: Fundamental audit concepts and principles
Domain 4: Preparing an ISO/IEC 42001 audit
Domain 5: Conducting an ISO/IEC 42001 audit
Domain 6: Closing an ISO/IEC 42001 audit
Domain 7: Managing an ISO/IEC 42001 audit program
For specific information regarding exam formats, available languages, and other details, please visit the List of PECB Exams and the Examination Rules and Policies.
Certification
After successfully passing the exam, you may apply for one of the credentials listed below. You will receive the certificate once you meet all requirements related to your selected credential.
The requirements for PECB ISO/IEC 42001 Auditor certifications are as follows:
| Credential | Exam | Professional experience | MS audit/assessment experience | Other requirements |
| PECB Certified ISO/IEC 42001 Provisional Auditor | PECB Certified ISO/IEC 42001 Lead Auditor exam or equivalent | None | None | Signing the PECB Code of Ethics |
| PECB Certified ISO/IEC 42001 Auditor | PECB Certified ISO/IEC 42001 Lead Auditor exam or equivalent | Two years: One year of work experience in AI | Audit activities: a total of 200 hours | Signing the PECB Code of Ethics |
| PECB Certified ISO/IEC 42001 Lead Auditor | PECB Certified ISO/IEC 42001 Lead Auditor exam or equivalent | Five years: Two years of work experience in AI | Audit activities: a total of 300 hours | Signing the PECB Code of Ethics |
| PECB Certified ISO/IEC 42001 Senior Lead Auditor | PECB Certified ISO/IEC 42001 Lead Auditor exam or equivalent | Ten years: Seven years of work experience in AI | Audit activities: a total of 1,000 hours | Signing the PECB Code of Ethics |
General
- Certification and examination fees are included in the price of the training course.
- Participants will receive training materials containing over 450 pages of explanatory information, examples, best practices, exercises, and quizzes.
- An attestation of course completion worth 31 CPD (Continuing Professional Development) credits will be issued to participants who attend the training course.
- Candidates who do not pass the exam may retake it within 12 months of the initial attempt at no additional cost.
Requirements
The primary requirement for participating in this training course is having a fundamental understanding of ISO/IEC 42001, as well as the principles and concepts of Artificial Intelligence.
Who Should Attend?
This training course is designed for:
- Professionals with an auditing background, whether internal or external, who wish to specialize in auditing AI management systems.
- Managers or consultants aiming to master the audit process for AI management systems.
- Individuals responsible for ensuring organizational conformity with AI management system requirements.
- Expert advisors specializing in AI management.
- Professionals involved in analyzing and understanding the business requirements for AI implementation.
- Individuals engaged in the development, implementation, and architectural design of AI solutions and systems.
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