ISO 42001 Lead Auditor (AIMS)

ISO/IEC 42001 Lead Auditor course is designed to equip participants with the knowledge and practical auditing skills required to assess Artificial Intelligence Management Systems (AIMS) against ISO/IEC 42001 requirements. The course covers AI governance, risk management, accountability, transparency, ethical AI practices, and continual improvement across the AI system lifecycle. Participants will learn how to plan, conduct, report, and follow up on audits of AI management systems in line with international auditing principles. The course is ideal for auditors, compliance professionals, AI governance specialists, risk managers, consultants, and professionals responsible for ensuring responsible, secure, and well-controlled use of artificial intelligence within organizations.

  • 4.9/5.0
  • 800 Inscrits
  • DerniĂšre mise Ă  jour Jul 07, 2026
ISO 42001 Lead Auditor (AIMS) course image

Aperçu du cours

  • In an era increasingly defined by artificial intelligence, the responsible and ethical deployment of AI systems has become paramount for organizations worldwide. The ISO 42001:2023 standard for Artificial Intelligence Management Systems (AIMS) provides a crucial framework for governing AI, ensuring transparency, fairness, and accountability. This comprehensive Lead Auditor Certification Course is meticulously designed to equip professionals with the expert knowledge and practical skills required to audit an AIMS against the stringent requirements of ISO 42001:2023, ensuring compliance and fostering trust in AI deployments.
  • This intensive program delves deep into the core principles of ISO 42001, exploring each clause with a focus on its implications for AI governance, risk management, and ethical considerations. Participants will not only gain a thorough understanding of the standard but also master the internationally recognized auditing techniques and principles outlined in ISO 19011. Through a blend of theoretical instruction, real-world case studies, and interactive exercises, you will learn how to initiate, plan, execute, and report on AIMS audits with confidence and precision, identifying areas of conformity and nonconformity.
  • Beyond technical proficiency, this course cultivates the leadership qualities essential for a Lead Auditor. You will develop the ability to manage an audit team, communicate complex findings effectively, and provide strategic recommendations that drive continuous improvement within an organization's AI ecosystem. Achieving this certification signifies your commitment to responsible AI and positions you as a critical asset in navigating the evolving landscape of AI ethics and compliance, opening doors to advanced career opportunities in technology governance, risk, and compliance (GRC).
  • By the end of this course, you will possess a holistic understanding of how to assess an organization's AI management practices, ensuring they are robust, ethical, and aligned with international best practices. This certification is more than just a credential; it's a testament to your expertise in safeguarding the future of AI, making you an invaluable professional ready to lead the charge in responsible AI implementation.

Plans du cours

Module 1: Introduction to AI, Responsible AI, and ISO 42001 Fundamentals

  • The Landscape of Artificial Intelligence and its Societal Impact
  • Principles of Responsible AI, Ethics, and Trustworthy AI Frameworks
  • Overview of Management System Standards (MSS) and their Importance
  • Introduction to ISO 42001:2023 – Context, Scope, and Key Terminology
  • Benefits of Implementing an Artificial Intelligence Management System (AIMS)
  • Understanding the Role of an Auditor and the Certification Process

Module 2: Deep Dive into ISO 42001:2023 Requirements – Part 1

  • Context of the Organization (Clause 4): Understanding Internal and External Issues
  • Understanding the Needs and Expectations of Interested Parties (Stakeholders)
  • Determining the Scope of the AIMS and Establishing its Boundaries
  • Leadership (Clause 5): Management Commitment, AI Policy, Roles, Responsibilities, and Authorities
  • Planning (Clause 6): Actions to Address Risks and Opportunities in AI Development and Deployment
  • AI System Impact Assessment (AIIA) and AI Risk Treatment Planning

Module 3: Deep Dive into ISO 42001:2023 Requirements – Part 2

  • Support (Clause 7): Resources, Competence, Awareness, Communication, and Documented Information
  • Operation (Clause 8): Operational Planning and Control, AI System Development, and Data Management
  • AI System Monitoring, Measurement, Analysis, and Evaluation
  • Performance Evaluation (Clause 9): Monitoring, Measurement, Analysis, and Evaluation of AIMS
  • Internal Audit Program and Management Review of the AIMS
  • Improvement (Clause 10): Nonconformity and Corrective Action, Continual Improvement

Module 4: Fundamental Auditing Principles and Managing an Audit Program

  • Introduction to ISO 19011: Guidelines for Auditing Management Systems
  • Principles of Auditing: Ethical Conduct, Fair Presentation, Due Professional Care, Independence, Evidence-based Approach
  • Roles, Responsibilities, and Competencies of Auditors and Lead Auditors
  • Managing an Audit Program: Establishing Objectives, Scope, and Criteria
  • Audit Program Risks and Opportunities, and Resource Allocation
  • Maintaining and Improving the Audit Program

Module 5: Preparing for an ISO 42001 Audit

  • Initiating the Audit: Contacting the Auditee, Determining Feasibility, and Establishing the Audit Team
  • Defining Audit Objectives, Scope, and Criteria for an AIMS Audit
  • Performing the Document Review: Analyzing AIMS Documentation and Records
  • Developing the Audit Plan: Scheduling, Logistics, and Resource Management
  • Preparing Audit Work Documents: Checklists, Sampling Plans, and Interview Questions
  • Communication Strategies and Pre-Audit Meeting Protocols

Module 6: Conducting the ISO 42001 Audit

  • Conducting the Opening Meeting: Setting the Stage and Confirming the Audit Plan
  • Collecting Audit Evidence: Interviews, Observation, Sampling, and Document Review
  • Effective Communication During the Audit: Building Rapport and Managing Difficult Situations
  • Generating Audit Findings: Identifying Conformities, Nonconformities, and Opportunities for Improvement
  • Techniques for Interviewing, Listening, and Note-Taking
  • Managing Audit Team Dynamics and Ensuring Objective Evidence Collection

Module 7: Concluding the Audit and Reporting

  • Preparing Audit Conclusions: Reviewing Findings Against Audit Objectives and Criteria
  • Conducting the Closing Meeting: Presenting Findings and Conclusions to Management
  • Writing the Audit Report: Structure, Content, and Best Practices for Clarity and Professionalism
  • Categorizing Nonconformities and Recommending Corrective Actions
  • Audit Follow-up: Verification of Corrective Actions and Continual Improvement
  • Ethical Considerations and Professional Responsibilities in Audit Reporting

Module 8: Lead Auditor Competence and Certification Process

  • Developing Lead Auditor Competencies: Leadership, Decision-Making, and Conflict Resolution
  • Managing Audit Programs and Audit Teams Effectively
  • Accreditation Bodies and Certification Bodies: Their Roles and Importance
  • The ISO 42001 Lead Auditor Certification Exam Preparation
  • Maintaining Certification and Continual Professional Development
  • Ethical Conduct and Professional Responsibilities of a Certified Lead Auditor

Objectifs du cours

  • Interpret the requirements of ISO 42001:2023 for an Artificial Intelligence Management System (AIMS) in various organizational contexts.
  • Apply the principles and guidelines of ISO 19011 to effectively plan, conduct, and report on an AIMS audit.
  • Evaluate the conformity of an organization's AIMS with ISO 42001 requirements, identifying strengths, weaknesses, and areas for improvement.
  • Develop comprehensive audit plans, checklists, and interview strategies tailored to AI systems and their lifecycle.
  • Communicate audit findings, nonconformities, and recommendations clearly, concisely, and professionally to relevant stakeholders.
  • Lead an audit team with confidence, managing resources, resolving conflicts, and ensuring the audit objectives are met.
  • Recommend effective corrective actions and verify their implementation to ensure the continual improvement of the AIMS.
  • Contribute strategically to an organization's responsible AI governance framework and risk management processes.

Prérequis du cours

  • A foundational understanding of Artificial Intelligence (AI) concepts, including machine learning, deep learning, and AI system lifecycles.
  • Basic knowledge of management system standards (e.g., ISO 9001, ISO 27001) is advantageous but not strictly required.
  • Familiarity with common audit principles and processes, or completion of an ISO 42001 Foundation course.
  • Strong analytical skills to interpret complex requirements and evaluate evidence.
  • Excellent communication and interpersonal skills for effective stakeholder engagement during audits.
  • A commitment to ethical practices and continuous professional development.

Calendrier du cours

Date Jours restants Lieu de formation
Aucun calendrier disponible
Avis de nos clients

4.9

  • (*)(*)(*)(*)(*)

Excellent

  • (*)(*)(*)(*)(*)
  • (*)(*)(*)(*)( )
  • ( )( )( )( )( )
  • ( )( )( )( )( )
  • ( )( )( )( )( )

Ce cours comprend

  • DurĂ©e32 h
  • PartenariatPECB
  • CatĂ©gorieAI
  • CertificatOui

Cours similaires

AI Risk Management (AI RMF)
AI Risk Management (AI RMF)

Artificial Intelligence is creating new opportunities for organizations, but it also introduces risks related to security, privacy, bias, transparency, accountability, and compliance. This AI Risk Management course helps participants understand how to identify, assess, and manage AI-related risks using a structured and practical approach. The course introduces the NIST AI Risk Management Framework (AI RMF) and its core functions: Govern, Map, Measure, and Manage. Participants will learn how to support responsible AI adoption, improve AI governance, and contribute to building secure, trustworthy, and accountable AI systems.

  • 32 h 4.6 (500)

Tags du cours

Vous pourriez aussi aimer

DĂ©couvrez les cours les plus đŸ”„ du marchĂ©

Dora Lead Manager
PECB
Cyber SecurityBusiness Management
Dora Lead Manager

The DORA (Digital Operational Resilience Act) Lead Manager course equips senior professionals with the skills and knowledge needed to oversee, manage, and ensure compliance with the DORA framework in financial institutions and related ICT service providers. This program covers operational resilience strategies, ICT risk management, incident handling, reporting requirements, and oversight of third-party providers, enabling participants to lead their organizations in meeting the EU’s regulatory expectations effectively.


4.9

(2000)
40 h
ISO 9001 Lead Implementer
PECB
Business Management
ISO 9001 Lead Implementer

The ISO 9001 Lead Implementer training course equips participants with the necessary knowledge and skills to support an organization in establishing, implementing, managing, and maintaining a Quality Management System (QMS) based on ISO 9001:2015. This course provides a practical methodology for the implementation process by applying best practices and aligning with international quality management standards. By the end of the course, participants will gain hands-on expertise in leading implementation projects, managing teams, and preparing organizations for certification audits.


4.8

(3000)
40 h
ISO 42001 AI lead implementer
PECB
Cyber Security
ISO 42001 AI lead implementer

The ISO/IEC 42001 Lead Auditor course equips professionals with the knowledge and skills to conduct and lead Artificial Intelligence Management System (AIMS) audits in compliance with ISO/IEC 42001. Participants will learn to apply internationally recognized audit principles, manage audit programs, and ensure AI governance aligns with ethical, legal, and organizational requirements. The course prepares attendees for certification as an ISO/IEC 42001 Lead Auditor, empowering them to assess AI systems for compliance, risk management, and continuous improvement.


4.9

(2000)
40 h
AI For End User
iExperts
AI
AI For End User

This course is a practical, tool-agnostic training program designed for professionals who want to leverage artificial intelligence in their daily work without needing a background in data science or programming. Participants will learn how AI interprets and processes human language, how to interact with AI tools effectively, and how to integrate AI into everyday tasks to enhance productivity, decision-making, and creativity.


4.9

(2457)
35 h
AI For End User Plus
iExperts
AI
AI For End User Plus

This advanced lesson builds on foundational AI knowledge to help users unlock the full potential of AI tools in personal and professional settings. Learners will explore more powerful features of AI platforms, gain hands-on experience with smart assistants, content generators, and automation tools, and learn strategies for integrating AI into workflows. The course also emphasizes data awareness, ethical use, and decision-making with AI support—empowering users to use AI responsibly and effectively in real-world scenarios.


4.9

(1953)
40 h