Auditor/Lead Auditor Training on Artificial Intelligence Management System (AIMS) based on ISO/IEC 42001:2023
From AI Observer to Trusted AI Auditor
 | Disponible en Español | Also available in Spanish |
This course is certified by Exemplar Global.
This intensive 5-day Lead Auditor course equips professionals with the knowledge and practical skills required to audit Artificial Intelligence Management Systems (AIMS) in accordance with ISO/IEC 42001:2023. Participants will gain a solid understanding of AI fundamentals, governance frameworks, and the ethical and regulatory landscape shaping modern AI systems.
Throughout the course, you will learn how to evaluate how organizations identify, manage, and mitigate AI risks and opportunities across the entire lifecycle, ensuring transparency, accountability, and compliance. Special emphasis is placed on ethical considerations, bias, and the dynamic nature of AI technologies.
By the end of the training, you will be able to plan, conduct, and report on AIMS audits with confidence, applying internationally recognized auditing standards and best practices.
- Get introduced to the basics of AI and ML
- Enable cost savings and efficiency gains
- Review how to establish traceability, transparency and reliability
- Understand the various aspects involved in AIMS audits
- Learn how to perform effective audits to ensure a robust AIMS
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
- A Lead Auditor certification in any management system (recommended)
- 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.