ISO/IEC 42001 AI Management System-Lead Implementer

Gain the skills to build secure and transparent AI frameworks aligned with global standards, and earn the ISO/IEC 42001 Lead Implementer credential.

E-Learning
Video Lessons & Study Materials (self-paced)
€890 .00
On-Site
In-Person Training at Our Academy (Scheduled Sessions)
€3200.00
Online-Live
Live Instructor-led Sessions (Online via Zoom/MS Teams)
€2550.00

Course Overview

As artificial intelligence continues to reshape industries, the need for responsible, ethical, and structured implementation has become more critical than ever. The ISO/IEC 42001 Lead Implementer course empowers participants with the practical tools and strategic understanding needed to plan, implement, operate, and continually improve an Artificial Intelligence Management System (AIMS) in accordance with the ISO/IEC 42001 standard.

This course serves as a gateway to mastering real-world AI governance practices, helping professionals transform AI strategies into tangible systems while ensuring compliance, transparency, and ethical integrity.

Why Take This Course?

AI is no longer just a technology—it’s a core component of organizational decision-making and innovation. However, its rapid adoption raises serious challenges related to accountability, bias, transparency, and regulatory compliance.

This training equips you with:

  • A structured approach to implementing AI responsibly

  • The ability to bridge strategic vision and operational execution

  • Competence in aligning AI initiatives with global standards and stakeholder expectations

Upon successful completion of the course and exam, participants can apply for the PECB Certified ISO/IEC 42001 Lead Implementer credential—a professional recognition of your ability to lead secure and effective AI deployments.

Who Should Attend?

This course is ideal for:

  • AI Project Managers and Implementation Leads

  • Consultants guiding organizations on AI strategy and governance

  • Experts tasked with operationalizing AI frameworks

  • Compliance and risk professionals involved in AI oversight

  • Members of AIMS implementation teams

  • Executives making strategic decisions regarding AI integration and risk management

Learning Objectives

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

  • Understand the core concepts and structure of an AI Management System (AIMS) under ISO/IEC 42001

  • Interpret ISO/IEC 42001 requirements through the lens of a hands-on implementer

  • Design and implement an AIMS using PECB’s IMS2 methodology and industry best practices

  • Support the maintenance, continual improvement, and audit-readiness of an AI management framework

  • Guide your organization toward successful third-party certification under ISO/IEC 42001

Training Methodology

This course uses an applied learning model that includes:

  • A balance of theoretical modules and practical exercises based on real-world AI cases

  • Scenario-based discussions and essay-style problem-solving tasks

  • Group interaction, peer feedback, and simulated audit/implementation scenarios

  • Practice quizzes aligned with the official exam structure

Entry Requirements

Participants should have a basic understanding of AI systems and general familiarity with the ISO/IEC 42001 framework.

Build Digital Trust through Responsible AI

This training is not just about compliance—it’s about creating digital systems that people trust. By learning how to implement AI within a structured, auditable, and transparent management system, you position your organization to lead with confidence and integrity. Demonstrating conformity with ISO/IEC 42001 helps reinforce public, regulatory, and stakeholder trust in your AI initiatives.


  • Certificate and examination fees are included in the price of the training course.
  • Candidates who have completed the training course but failed the exam are eligible to retake the exam once for free within a 12-month period from the initial date of the exam.

Examination

The “Certified ISO/IEC 42001 Lead Implementer” exam meets all the PECB Examination and Certification Program (ECP) requirements. It covers the following competency domains:

Domain 1: Fundamental principles and concepts of an artificial intelligence management system (AIMS)

Domain 2: Artificial intelligence management system requirements

Domain 3: Planning of an AIMS implementation based on ISO/IEC 42001

Domain 4: Implementation of an AIMS based on ISO/IEC 42001

Domain 5: Monitoring and measurement of an AIMS based on ISO/IEC 42001

Domain 6: Continual improvement and preparation for an AIMS certification audit

Certification

After passing the exam, you can apply for one of the credentials listed in the table below. You will receive a certification once you fulfill all the requirements of the selected credential.

 

CredentialExamProfessional experienceAIMS project experienceOther requirements
PECB Certified ISO/IEC 42001 Provisional ImplementerPECB Certified ISO/IEC 42001 Lead Implementer exam or equivalentNoneNoneSigning the PECB Code of Ethics
PECB Certified ISO/IEC 42001 ImplementerPECB Certified ISO/IEC 42001 Lead Implementer exam or equivalentTwo years: At least one year in artificial intelligenceAt least 200 hours of project activitiesSigning the PECB Code of Ethics
PECB Certified ISO/IEC 42001 Lead ImplementerPECB Certified ISO/IEC 42001 Lead Implementer exam or equivalentFive years: At least two years in artificial intelligenceAt least 300 hours of project activitiesSigning the PECB Code of Ethics
PECB Certified ISO/IEC 42001 Senior Lead ImplementerPECB Certified ISO/IEC 42001 Lead Implementer exam or equivalentTen years: At least seven years in artificial intelligenceAt least 1,000 hours of project activitiesSigning the PECB Code of Ethics

 

To be considered valid, these activities are considered:

  1. Development of AI-powered solutions
  2. Design of AI-based systems
  3. Management of AI project portfolios
  4. Leading AI innovation teams
  5. Development of AI strategy and roadmap
  6. Implementation of AI governance and compliance programs
  7. Design of AI-based data pipelines
  8. Implementation of AI-powered business intelligence solutions
  9. Development and deployment of AI-powered cybersecurity solutions
  10. Development and implementation of AI-powered autonomous systems
  11. Management and design of AI-based predictive analytics 
  12. Development of machine learning models
  13. Training and deployment of language learning models
  14. Implementation of natural language processing (NLP) solutions
  15. Development of sentiment analysis and text classification models

Additional Information

  • Certification and examination fees are included in the price of the training course.
  • Participants receive training course materials containing over 400 pages of information, practical examples, 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.
  • Candidates who have completed the training course but failed the exam are eligible to retake the exam once for free within 12 months from the initial date of the exam. 

Curriculum

  • 1 Section
  • 0 Lessons
  • 5 Days
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