Lead Auditor Training on Artificial Intelligence Management System (AIMS) based on ISO/IEC 42001:2023
Help Your Organization Keep AI Responsible, Transparent, and Auditable
| | Disponible en Español | Also available in Spanish |
The ISO/IEC 42001 Lead Auditor course offers an in-depth overview of how to audit Artificial Intelligence Management Systems (AIMS) against the requirements of ISO/IEC 42001. Catering to professionals looking to build practical auditing expertise in AI governance, this five-day course helps you understand the systems, controls, and responsibilities needed to assess AI use with confidence, consistency, and credibility.
✔ Understand how to plan, conduct, and report on an audit of an AI management system
✔ Learn to evaluate how an organization manages the risks and opportunities associated with AI throughout its entire lifecycle
✔ Gain an understanding the ethical implications of AI
✔ Apply ISO/IEC 42006 requirements to ensure audits are performed with the technical competency and consistency required for the AI sector
The training course starts with an introduction to ISO/IEC 42001 and the purpose of an artificial intelligence management system. You’ll explore how organizations can govern AI in a structured, responsible, and auditable way.
Taken through the technical, ethical, and regulatory considerations that shape AI audits, you will also examine the AIMS framework in detail, including how the PDCA (Plan-Do-Check-Act) cycle applies specifically to AI and how ISO/IEC 42005 supports meaningful impact and risk assessment.
As the course progresses, you will build your understanding of what makes an AI audit robust, from evaluating whether organisations are genuinely managing AI risks to applying ISO/IEC 42006 requirements that support audit competence, consistency, and trust in the audit process.
By the end of the course, you will have gained the knowledge and confidence to plan, conduct, report, and follow up on audits of AI Management Systems, helping your organization demonstrate responsible AI governance and continual improvement.
ISO 42001 provides companies with a systematic set of rules that defines the establishment, implementation and evolution of an artificial intelligence management system (AIMS). This ISO standard helps you understand AI systems in all their complexity, use the technology responsibly, and get the most out of their use.
Testimonial:
“The training was exceptionally valuable, thanks in large part to the instructor's deep expertise and genuine commitment to ensuring participants understood the concepts. His knowledge, paired with a highly engaging delivery style, made complex topics easy to grasp. Additionally, the quality and structure of the training materials provided a strong foundation for learning and ongoing reference. Overall, it was a highly effective and impactful experience.”
This course is ideal for:
- Compliance Officers and Risk Managers
- IT and Information Security Auditors seeking specialization in AI
- Consultants supporting AI governance and ISO implementations
- Quality Managers in technology-driven industries
- AI Governance Leads and Data Protection Professionals
- Professionals involved in risk, compliance, or regulatory oversight of AI systems
- AI Fundamentals – Terminology, classes of AI, machine learning, and applications
- Big Data & Ethics – Data privacy, bias, societal impact, and ethical frameworks
- AI Management Systems – ISO/IEC 42001:2023 structure, clauses, and controls
- Associated Standards – ISO/IEC 42005, 42006, and supporting frameworks
- Legal & Regulatory Landscape – Global AI laws and compliance requirements
- AI Roles & Governance – Organizational structures and responsibilities within AIMS
- AI Risk & Impact Assessment – Risk management, impact analysis, and registers
- Data Governance – Validation, privacy, security, and data quality considerations
- Auditing Standards – ISO 19011, ISO 17021, and AI audit-specific requirements
- AIMS Audit Process – Planning, conducting, reporting, and certification audits
- Non-Conformities & Corrective Actions – Identification, classification, and resolution
- Audit Simulation – Role-play exercises, case studies, and real-world scenarios
The ISO/IEC 42001 Lead Auditor Training is a comprehensive and immersive program designed to develop professionals capable of auditing Artificial Intelligence Management Systems (AIMS) in line with the world’s first AI management system standard. This course goes beyond theory, providing a practical and structured approach to understanding how organizations govern, implement, and control AI systems responsibly across their lifecycle.
Participants begin by building a strong foundation in artificial intelligence, including key concepts, terminology, machine learning, and real-world applications. The course then explores the growing importance of big data, ethical principles, and societal implications, helping learners understand how bias, privacy, and data quality influence AI outcomes.
A core focus of the training is ISO/IEC 42001:2023, including its structure, clauses, and Annex A controls. Learners will gain a deep understanding of how to implement and audit an AIMS using the PDCA (Plan-Do-Check-Act) cycle, while aligning with associated standards such as ISO/IEC 42005 (impact assessment) and ISO/IEC 42006 (audit requirements).
The course also addresses the global regulatory landscape, including emerging AI laws and frameworks, enabling participants to evaluate compliance across jurisdictions. You will learn how to assess AI risks and impacts, maintain risk registers, and verify that organizations are not only compliant but also ethically responsible and transparent in their AI practices.
A significant portion of the training is dedicated to auditing principles and techniques. Participants will develop the skills needed to plan audits, collect and evaluate evidence, identify non-conformities, and produce professional audit reports. Practical exercises, role-play scenarios, and real-world case studies ensure that knowledge is applied in a meaningful and realistic context.
By the end of the course, participants will be fully equipped to lead AIMS audits, make certification recommendations, and contribute to building trustworthy, secure, and compliant AI systems within their organizations or client environments.
- Gain expertise in auditing AI Management Systems aligned with ISO/IEC 42001
- Understand the full AI lifecycle, including governance, risk, and impact
- Learn how to evaluate ethical, technical, and regulatory aspects of AI
- Develop practical audit skills using global standards and methodologies
- Enhance audit credibility using ISO/IEC 42006 requirements
- Identify and assess AI risks using ISO/IEC 42005 impact assessments
- Build competence to support AI compliance and certification initiatives
- Prepare for emerging regulations such as the EU AI Act
- Strengthen organizational trust through transparent and responsible AI practices
This course is delivered as a live, instructor-led virtual classroom using interactive and practical learning techniques:
- Structured lectures and clause-by-clause explanations
- Real-world case studies and industry examples
- Hands-on exercises and homework assignments
- Role-play simulations and audit scenarios
- Group discussions and Q&A sessions
- Continuous recaps and knowledge reinforcement
Participants will engage with practical tools and AI platforms during the training to enhance real-world applicability.
- Multiple Choice Examination (MCQs)
- Two sections: 5 scenario based questions + 40 questions
- 75 minutes total
- Online format
- Continuous evaluation through:
- Practical exercises and homework
- Scenario-based audit simulations
- Non-conformance identification and reporting
- Audit planning and documentation tasks
Participants who attend at least 90% of the total training duration will receive a Certificate of Attendance.
Upon completion, participants who successfully pass the final exam will receive their globally recognized TÜV SÜD Certificate of Completion.
- Basic understanding of AI, data science, or data analysis concepts
- Familiarity with ISO management systems (e.g., ISO 9001, ISO 27001) is beneficial
- Access to ISO/IEC 42001 standard (required)
- Access to general-purpose AI tools (e.g., ChatGPT, Gemini, Copilot)
1. What certification will I receive?
Upon successful completion, participants are eligible for a TÜV SÜD Academy / Exemplar Global–recognized ISO/IEC 42001 Lead Auditor certificate.
2. Do I need coding or AI development knowledge?
No. The course focuses on management systems, governance, and auditing—not technical model development.
3. Is ISO/IEC 42001 mandatory?
No, it is a voluntary standard, but it is rapidly becoming essential for organizations implementing and scaling AI responsibly.
4. Does the course cover global AI regulations?
Yes, including alignment with frameworks such as the EU AI Act and other international regulatory approaches.
5. What practical skills will I gain?
You will learn how to plan and conduct audits, assess AI risks and impacts, identify non-conformities, and make certification recommendations.
6. How is the course delivered?
The course is delivered online via a virtual classroom (Microsoft Teams) with live instructor interaction.
7. What tools or materials do I need?
A computer, internet connection, access to AI tools, and a copy of ISO/IEC 42001 (plus optional related standards).
8. What industries is this course applicable to?
The course is industry-agnostic and applicable to any organization developing, deploying, or using AI systems.
9. What makes this course unique?
It is aligned with the first international AI management system standard and combines technical insight, ethical considerations, and real-world audit practices.
Train with Industry Experts
Learn from specialist instructors at TÜV SÜD Academy—recognized leaders with deep expertise in their fields. For over 35 years, our global network of 2,500+ trainers has delivered practical, real-world knowledge that you can apply immediately.
Our courses are continuously updated to reflect the latest regulatory changes and industry best practices, ensuring you gain relevant, up-to-date skills with every session.
