Udemy

Auditing ISO 42001 Annex A: AI Management Controls

立即報名
  • 2,139 名學生
  • 更新於 3/2026
4.2
(08 個評分)
CTgoodjobs 嚴選優質課程,為職場人士提升競爭力。透過本站連結購買Udemy課程,本站將獲得推廣佣金,有助未來提供更多實用進修課程資訊給讀者。

課程資料

報名日期
全年招生
課程級別
學習模式
修業期
4 小時 48 分鐘
教學語言
英語
授課導師
Dr. Amar Massoud
評分
4.2
(08 個評分)
6次瀏覽

課程簡介

Auditing ISO 42001 Annex A: AI Management Controls

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.

課程章節

  • 12 個章節
  • 51 堂課
  • 第 1 章 Introduction
  • 第 2 章 Preparing for an ISO 42001 Annex A Audit
  • 第 3 章 Auditing AI Policies and Governance (Clause A.2 & A.3)
  • 第 4 章 Auditing AI Resource Management (Clause A.4)
  • 第 5 章 Auditing Impact Assessment Controls (Clause A.5)
  • 第 6 章 Auditing the AI Lifecycle Controls (Clause A.6)
  • 第 7 章 Auditing Data Controls for AI Systems (Clause A.7)
  • 第 8 章 Auditing Transparency and Communication (Clause A.8)
  • 第 9 章 Auditing Responsible Use of AI (Clause A.9)
  • 第 10 章 Auditing Third-Party and Customer Relationships (Clause A.10)
  • 第 11 章 Final Audit Reporting and Continuous Improvement
  • 第 12 章 Conclusion

課程內容

  • 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


評價

  • J
    Juan Cabezas Alonso
    3.0

    Varios de los controles explicados no se corresponden con la versión definitiva de ISO 42001:2023

立即關注瀏覽更多

本網站使用Cookies來改善您的瀏覽體驗,請確定您同意及接受我們的私隱政策使用條款才繼續瀏覽。

我已閱讀及同意