Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 48 Minute(s)
Language
English
Taught by
Dr. Amar Massoud
Rating
1 views
Course Overview
Governance, Resources, Impact, Lifecycle, Data, Transparency & Responsible AI Audit | Templates & Checklists
This course contains the use of artificial intelligence. Led by Dr. Amar Massoud, a seasoned expert with decades of academic and professional experience, it combines cutting-edge AI support with human insight to deliver content that is precise, practical, and easy to follow. You’ll gain the clarity of structured learning and the confidence of being guided by a recognized authority.
Are you ready to audit AI management systems using the world’s first international AI-specific standard? This course provides a practical, step-by-step framework for auditing the Annex A controls of ISO/IEC 42001:2023, the groundbreaking AI Management System standard designed to ensure transparency, fairness, accountability, and governance in artificial intelligence deployments.
Whether you're a lead auditor, compliance officer, risk manager, AI governance consultant, or internal audit professional, this course is your hands-on guide to performing detailed audits of ISO 42001’s Annex A control requirements. You’ll learn how to plan audits, assess documentation, interview stakeholders, and report findings using structured templates and real-life scenarios.
The course includes a complete case study based on InfoSure Ltd., a fictional AI-as-a-service company operating in healthcare, finance, and logistics. Through this model, you’ll simulate realistic audits, review sample AI policies, evaluate impact assessments, and examine lifecycle controls such as event logging, model validation, data provenance, and more.
What you’ll get in this course:
In-depth audit walkthroughs for every Annex A control group
Audit checklists, interview templates, document review guides
Detailed breakdowns of controls covering AI policy, ethics, roles, transparency, data quality, and responsible use
Risk-based prioritization techniques to focus on high-impact controls
Final audit reporting strategies, including corrective actions and follow-up
By the end of this course, you’ll be able to confidently audit AI management systems in line with ISO 42001:2023, making you an indispensable resource for organizations navigating AI compliance and risk.
Course Content
- 12 section(s)
- 51 lecture(s)
- Section 1 Introduction
- Section 2 Preparing for an ISO 42001 Annex A Audit
- Section 3 Auditing AI Policies and Governance (Clause A.2 & A.3)
- Section 4 Auditing AI Resource Management (Clause A.4)
- Section 5 Auditing Impact Assessment Controls (Clause A.5)
- Section 6 Auditing the AI Lifecycle Controls (Clause A.6)
- Section 7 Auditing Data Controls for AI Systems (Clause A.7)
- Section 8 Auditing Transparency and Communication (Clause A.8)
- Section 9 Auditing Responsible Use of AI (Clause A.9)
- Section 10 Auditing Third-Party and Customer Relationships (Clause A.10)
- Section 11 Final Audit Reporting and Continuous Improvement
- Section 12 Conclusion
What You’ll Learn
- Audit AI management systems using ISO/IEC 42001:2023 controls, Design audit checklists aligned with Annex A control requirements, Evaluate AI policies, risk assessments, and stakeholder evidence, Apply AI audit techniques through a complete case study walkthrough
Skills covered in this course
Reviews
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JJuan Cabezas Alonso
Varios de los controles explicados no se corresponden con la versión definitiva de ISO 42001:2023
