Step-by-step audit of ISO/IEC 42001:2023 AI management controls with templates, case study, and checklists
β±οΈ Length: 4.8 total hours
β 4.30/5 rating
π₯ 1,650 students
π September 2025 update
Add-On Information:
Get Instant Notification of New Courses on our Telegram channel.
Noteβ Make sure your ππππ¦π² cart has only this course you're going to enroll it now, Remove all other courses from the ππππ¦π² cart before Enrolling!
- Course Overview
- This comprehensive course offers a practical, hands-on approach to auditing the Artificial Intelligence (AI) management system controls as defined in Annex A of the ISO/IEC 42001:2023 standard. Designed for aspiring and practicing auditors, IT security professionals, compliance officers, and AI system developers, it breaks down the complex requirements of ISO 42001 into actionable audit procedures.
- Participants will embark on a systematic journey through each control area of Annex A, understanding its purpose, applicability, and the evidence required to demonstrate compliance. The course emphasizes a practical, step-by-step methodology, ensuring learners can confidently plan, execute, and report on ISO 42001 audits.
- The curriculum integrates real-world application through a detailed case study, allowing learners to apply theoretical knowledge to a simulated organizational context. This immersive experience is further supported by ready-to-use audit templates and comprehensive checklists, designed to streamline the audit process and ensure thoroughness.
- With a focus on the latest iteration of the standard (September 2025 update), this course provides current and relevant insights into auditing AI management systems in an increasingly AI-driven landscape. The 4.8-hour duration is optimized for efficient learning, delivering substantial value in a condensed format.
- The course caters to a diverse audience, recognizing that effective AI management and auditing requires a multidisciplinary understanding. It bridges the gap between technical AI concepts and established management system auditing principles, making it accessible to professionals from various backgrounds.
- Requirements / Prerequisites
- A foundational understanding of management system principles (e.g., ISO 27001, ISO 9001) is beneficial but not strictly mandatory, as the course provides context for AI management.
- Familiarity with basic IT concepts and the role of AI in modern organizations is helpful for contextualizing the audit objectives.
- An analytical mindset and attention to detail are crucial for effective auditing.
- Access to a computer or device capable of viewing course materials and potentially engaging with interactive elements.
- Skills Covered / Tools Used
- AI Control Identification: Ability to identify and interpret the specific controls outlined in ISO 42001 Annex A related to AI management.
- Audit Planning & Scoping: Skills in defining audit objectives, scope, criteria, and methodologies tailored to AI systems and their management.
- Evidence Gathering Techniques: Proficiency in eliciting and evaluating objective evidence through interviews, documentation review, observation, and technical testing related to AI controls.
- Risk-Based Auditing: Understanding how to apply a risk-based approach to prioritize audit efforts and focus on critical AI management aspects.
- Report Writing: Competence in documenting audit findings, including non-conformities, observations, and recommendations, in a clear and actionable manner.
- Use of Audit Templates: Practical experience in utilizing pre-designed audit plan templates, checklists, and work papers specific to ISO 42001 Annex A controls.
- Case Study Analysis: Ability to apply audit principles and tools to a realistic AI management scenario.
- Benefits / Outcomes
- Enhanced Auditing Competence: Develop specialized skills in auditing AI management systems, a critical need in today’s technological landscape.
- Improved AI Governance: Gain the knowledge to assess an organization’s AI governance framework, contributing to responsible and ethical AI deployment.
- Systematic Audit Approach: Master a structured, step-by-step process for auditing ISO 42001 Annex A controls, ensuring comprehensive coverage.
- Practical Application Skills: Acquire hands-on experience through templates, checklists, and a case study that bridges theoretical learning with practical implementation.
- Career Advancement: Position yourself as a valuable professional in AI governance and compliance, a rapidly growing field.
- Reduced Audit Risk: Equip yourself with the tools and techniques to conduct more effective and efficient audits, minimizing the risk of overlooking critical AI management gaps.
- Contribute to Trustworthy AI: Play a role in helping organizations build and maintain trustworthy AI systems by ensuring robust management practices are in place.
- PROS
- Highly Practical and Actionable: Emphasizes hands-on application with templates and a case study, moving beyond theoretical concepts.
- Covers Latest Standard: Aligned with the most current version of ISO/IEC 42001:2023, ensuring relevance.
- Efficient Learning Format: Delivers significant value in a concise 4.8-hour duration.
- CONS
- The course’s depth in specific technical AI areas (e.g., machine learning algorithms, data bias mitigation techniques) might be limited, focusing primarily on the management system controls rather than the intricate technical details of AI development.
Learning Tracks: English,IT & Software,IT Certifications
Found It Free? Share It Fast!