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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 AI management system’s conformance with ISO/IEC 42001 requirements in line with fundamental audit concepts and principles
  • Plan, conduct, and close an ISO/IEC 42001 compliance audit, in accordance with ISO/IEC 17021-1 requirements, ISO 19011 guidelines, and other auditing best practices
  • Manage an ISO/IEC 42001 audit programme

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 programme

For specific information about exam type, languages available, and other details, please visit the List of PECB Exams and the Examination Rules and Policies.

Certification

After successfully passing the exam, you can apply for one of the credentials shown below. You will receive the certificate once you comply with all the requirements related to the selected credential.

The requirements for PECB ISO/IEC 42001 Auditor certifications are as follows:

CredentialExamProfessional experienceMS audit/assessment experienceOther requirementsPECB Certified ISO/IEC 42001 Provisional AuditorPECB Certified ISO/IEC 42001 Lead Auditor exam or equivalentNoneNoneSigning the PECB Code of EthicsPECB Certified ISO/IEC 42001 AuditorPECB Certified ISO/IEC 42001 Lead Auditor exam or equivalentTwo years: One year of work experience in AIAudit activities: a total of 200 hoursSigning the PECB Code of EthicsPECB Certified ISO/IEC 42001 Lead AuditorPECB Certified ISO/IEC 42001 Lead Auditor exam or equivalentFive years: Two years of work experience in AIAudit activities: a total of 300 hoursSigning the PECB Code of EthicsPECB Certified ISO/IEC 42001 Senior Lead AuditorPECB Certified ISO/IEC 42001 Lead Auditor exam or equivalentTen years: Seven years of work experience in AIAudit activities: a total of 1,000 hoursSigning the PECB Code of Ethics

General

  • Certification and examination fees are included in the price of the training course.
  • Participants will be provided with the training course material 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 the participants who have attended the training course.
  • In case candidates fail the exam, they can retake it within 12 months following the initial attempt for free.

Requirements

The primary requirement for attending this training course is having a basic understanding of ISO/IEC 42001 as well as the principles and concepts of artificial intelligence.

Who Should Attend?

This training course is designed for:

  • Individuals with an auditing background, whether internal or external, who wish to specialise in auditing AI management systems
  • Managers or consultants aiming to master the AI management system audit process
  • Individuals responsible for ensuring conformance with AI management system requirements within an organisation
  • Expert advisors in AI management
  • Professionals involved in analysing and understanding business requirements for AI implementation
  • Individuals involved in the development and implementation of AI solutions and in designing the architecture of AI systems
 35 Hours

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