CQI and IRCA Certified ISO 42001:2023 Lead Auditor Classroom Training

This interactive classroom training helps participants master ISO 42001:2023 audit principles, from preparing audit plans to reporting findings. Learners gain practical insights into AI governance, risk management, and assessment practices aligned with the standard.

Beginner
Classroom
Flexible Dates

About this training

Strengthen Artificial Intelligence Governance Through Effective Auditing


As artificial intelligence becomes a critical component of modern organizations, ensuring responsible, ethical, and transparent AI practices is essential. Organizations must demonstrate that their AI systems are governed effectively, risks are managed, and decisions are aligned with regulatory and ethical expectations.

The CQI & IRCA Certified ISO/IEC 42001:2023 Lead Auditor Classroom Training is designed to equip professionals with the knowledge and practical skills required to perform first, second, and third-party audits of an Artificial Intelligence Management System (AIMS).

Participants will learn how to evaluate AI governance frameworks, assess risk management processes, and verify compliance with ISO/IEC 42001:2023 requirements. Through structured guidance and practical exercises, this course prepares individuals to plan, conduct, and report audits that support responsible AI and continual improvement.


Why This Training Is Important


With the rapid adoption of AI technologies, organizations face increased scrutiny regarding ethics, accountability, bias, and data security. ISO/IEC 42001:2023 provides a structured framework for managing AI systems responsibly and ensuring transparency in decision-making.

Lead auditors play a critical role in verifying whether AI management systems are effectively implemented and aligned with organizational policies and international standards. Their audits help identify risks, improve governance, and enhance trust in AI systems.

This training enables professionals to develop the competence required to audit AI systems and support organizations in achieving responsible AI governance and compliance.


Learning Outcomes


By completing this training program, participants will be able to:

  1. Understand the structure, intent, and key requirements of ISO/IEC 42001:2023
  2. Interpret AI governance principles, risk management, and ethical considerations
  3. Apply auditing principles based on ISO 19011 and ISO/IEC 17021
  4. Plan, conduct, and manage first, second, and third-party audits
  5. Evaluate Artificial Intelligence Management Systems (AIMS) and related controls
  6. Assess AI risks including bias, transparency, and accountability
  7. Gather and verify audit evidence through interviews, observations, and documentation
  8. Identify nonconformities and opportunities for improvement
  9. Prepare clear and professional audit reports
  10. Lead audit teams and manage audit programs effectively


Course Benefits


Participants will gain cutting-edge expertise in a rapidly evolving domain:

  1. Ability to perform professional AIMS audits as a Lead Auditor
  2. Enhanced understanding of AI risk, governance, and compliance
  3. Internationally recognized CQI & IRCA certification
  4. Improved organizational trust in AI systems
  5. Contribution to ethical, transparent, and responsible AI practices
  6. Increased career opportunities in AI governance, compliance, and auditing


Course Structure


The training is delivered through a structured classroom format combining theory, practical exercises, and case studies.


Module 1 – Introduction to AI Management Systems

Overview of AI concepts, governance frameworks, and ISO/IEC 42001:2023 requirements.


Module 2 – Audit Principles and Planning

Covers auditing principles based on ISO 19011 and ISO/IEC 17021, including audit scope, objectives, risk considerations, and audit planning.


Module 3 – Conducting an Audit

Focuses on audit execution, including evaluation of AI systems, evidence collection, interviews, and identification of risks and nonconformities.


Module 4 – Audit Reporting and Follow-Up

Covers reporting of findings, communication with stakeholders, corrective action evaluation, and audit closure.


Module 5 – Certification Examination

Participants undertake a CQI & IRCA approved examination to validate their competence as Lead Auditors.


Who Should Attend


This course is ideal for professionals involved in AI governance, auditing, and compliance, including:

  1. Internal and external auditors
  2. AI governance and risk professionals
  3. Data scientists and AI project managers
  4. IT and information security professionals
  5. Compliance and regulatory professionals
  6. Consultants and advisors
  7. Individuals seeking CQI & IRCA Lead Auditor certification


Prerequisites


Participants are recommended to have:

  1. Basic understanding of artificial intelligence concepts
  2. Familiarity with management system standards
  3. Knowledge of risk management and governance principles
  4. Prior auditing experience is beneficial but not mandatory.