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Practitioner · AI governance

ISO/IEC 42001:2023 Annex A Controls

Implement and audit the 38 Annex A controls of ISO/IEC 42001:2023, the international standard for an AI management system.

How controls are selected through AI risk treatment and recorded in the Statement of Applicability, then every control in the nine areas from AI policy to third-party relationships: what it requires, how to implement it with the Annex B guidance, real cases with dated sources, the evidence an auditor expects, and the risks of weak implementation.

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Standard and editionISO/IEC 42001:2023

Last updated21 October 2026

Preview this course

Experience the learning
before you enrol.

Watch a sample from ISO/IEC 42001:2023 Annex A Controls before you enrol.

ISO/IEC 42001:2023 Annex A ControlsSample

Learning outcomes

Knowledge you can put to work.

Connect the subject to the responsibilities and decisions people encounter in their roles.

  • Explain how Annex A controls are selected through AI risk treatment and recorded in the Statement of Applicability
  • Implement each of the 38 controls in the nine areas, using the Annex B implementation guidance
  • Recognise the evidence an auditor expects for each control, and the risks of weak implementation

Inside the course

A clear path through the essentials.

50 modules, 40 practice checkpoints and a final exam. Video runtimes are approximate; allow additional time for the practice questions and the final exam.

Part 1Modules 1–2Approx. 13 min
  1. Welcome: about this course7 min
  2. How Annex A works: annexes and clause 6.1.36 min
  3. Practice: How Annex A works: annexes and clause 6.1.33 questions
Part 2Module 3Approx. 6 min
  1. The Statement of Applicability6 min
  2. Practice: The Statement of Applicability3 questions
Part 3Modules 4–5Approx. 10 min
  1. A.2 Policies related to AI: the objective and its controls4 min
  2. A.2.2 AI policy6 min
  3. Practice: A.2.2 AI policy3 questions
Part 4Module 6Approx. 6 min
  1. A.2.3 Alignment with other organizational policies6 min
  2. Practice: A.2.3 Alignment with other organizational policies3 questions
Part 5Module 7Approx. 5 min
  1. A.2.4 Review of the AI policy5 min
  2. Practice: A.2.4 Review of the AI policy3 questions
Part 6Modules 8–9Approx. 11 min
  1. A.3 Internal organization: the objective and its controls4 min
  2. A.3.2 AI roles and responsibilities6 min
  3. Practice: A.3.2 AI roles and responsibilities3 questions
Part 7Module 10Approx. 6 min
  1. A.3.3 Reporting of concerns6 min
  2. Practice: A.3.3 Reporting of concerns3 questions
Part 8Modules 11–12Approx. 10 min
  1. A.4 Resources for AI systems: the objective and its controls5 min
  2. A.4.2 Resource documentation6 min
  3. Practice: A.4.2 Resource documentation3 questions
Part 9Module 13Approx. 6 min
  1. A.4.3 Data resources6 min
  2. Practice: A.4.3 Data resources3 questions
Part 10Module 14Approx. 5 min
  1. A.4.4 Tooling resources5 min
  2. Practice: A.4.4 Tooling resources3 questions
Part 11Module 15Approx. 5 min
  1. A.4.5 System and computing resources5 min
  2. Practice: A.4.5 System and computing resources3 questions
Part 12Module 16Approx. 5 min
  1. A.4.6 Human resources5 min
  2. Practice: A.4.6 Human resources3 questions
Part 13Modules 17–18Approx. 11 min
  1. A.5 Assessing impacts of AI systems: the objective and its controls5 min
  2. A.5.2 AI system impact assessment process6 min
  3. Practice: A.5.2 AI system impact assessment process3 questions
Part 14Module 19Approx. 6 min
  1. A.5.3 Documentation of AI system impact assessments6 min
  2. Practice: A.5.3 Documentation of AI system impact assessments3 questions
Part 15Module 20Approx. 6 min
  1. A.5.4 Assessing AI system impact on individuals or groups of individuals6 min
  2. Practice: A.5.4 Assessing AI system impact on individuals or groups of individuals3 questions
Part 16Module 21Approx. 6 min
  1. A.5.5 Assessing societal impacts of AI systems6 min
  2. Practice: A.5.5 Assessing societal impacts of AI systems3 questions
Part 17Modules 22–23Approx. 11 min
  1. A.6 AI system life cycle: the objective and its controls5 min
  2. A.6.1.2 Objectives for responsible development of AI system6 min
  3. Practice: A.6.1.2 Objectives for responsible development of AI system3 questions
Part 18Module 24Approx. 6 min
  1. A.6.1.3 Processes for responsible AI system design and development6 min
  2. Practice: A.6.1.3 Processes for responsible AI system design and development3 questions
Part 19Module 25Approx. 5 min
  1. A.6.2.2 AI system requirements and specification5 min
  2. Practice: A.6.2.2 AI system requirements and specification3 questions
Part 20Module 26Approx. 6 min
  1. A.6.2.3 Documentation of AI system design and development6 min
  2. Practice: A.6.2.3 Documentation of AI system design and development3 questions
Part 21Module 27Approx. 6 min
  1. A.6.2.4 AI system verification and validation6 min
  2. Practice: A.6.2.4 AI system verification and validation3 questions
Part 22Module 28Approx. 5 min
  1. A.6.2.5 AI system deployment5 min
  2. Practice: A.6.2.5 AI system deployment3 questions
Part 23Module 29Approx. 5 min
  1. A.6.2.6 AI system operation and monitoring5 min
  2. Practice: A.6.2.6 AI system operation and monitoring3 questions
Part 24Module 30Approx. 6 min
  1. A.6.2.7 AI system technical documentation6 min
  2. Practice: A.6.2.7 AI system technical documentation3 questions
Part 25Module 31Approx. 5 min
  1. A.6.2.8 AI system recording of event logs5 min
  2. Practice: A.6.2.8 AI system recording of event logs3 questions
Part 26Modules 32–33Approx. 10 min
  1. A.7 Data for AI systems: the objective and its controls4 min
  2. A.7.2 Data for development and enhancement of AI system5 min
  3. Practice: A.7.2 Data for development and enhancement of AI system3 questions
Part 27Module 34Approx. 6 min
  1. A.7.3 Acquisition of data6 min
  2. Practice: A.7.3 Acquisition of data3 questions
Part 28Module 35Approx. 5 min
  1. A.7.4 Quality of data for AI systems5 min
  2. Practice: A.7.4 Quality of data for AI systems3 questions
Part 29Module 36Approx. 5 min
  1. A.7.5 Data provenance5 min
  2. Practice: A.7.5 Data provenance3 questions
Part 30Module 37Approx. 6 min
  1. A.7.6 Data preparation6 min
  2. Practice: A.7.6 Data preparation3 questions
Part 31Modules 38–39Approx. 11 min
  1. A.8 Information for interested parties of AI systems: the objective and its controls5 min
  2. A.8.2 System documentation and information for users6 min
  3. Practice: A.8.2 System documentation and information for users3 questions
Part 32Module 40Approx. 5 min
  1. A.8.3 External reporting5 min
  2. Practice: A.8.3 External reporting3 questions
Part 33Module 41Approx. 6 min
  1. A.8.4 Communication of incidents6 min
  2. Practice: A.8.4 Communication of incidents3 questions
Part 34Module 42Approx. 6 min
  1. A.8.5 Information for interested parties6 min
  2. Practice: A.8.5 Information for interested parties3 questions
Part 35Modules 43–44Approx. 10 min
  1. A.9 Use of AI systems: the objective and its controls5 min
  2. A.9.2 Processes for responsible use of AI systems5 min
  3. Practice: A.9.2 Processes for responsible use of AI systems3 questions
Part 36Module 45Approx. 6 min
  1. A.9.3 Objectives for responsible use of AI system6 min
  2. Practice: A.9.3 Objectives for responsible use of AI system3 questions
Part 37Module 46Approx. 6 min
  1. A.9.4 Intended use of the AI system6 min
  2. Practice: A.9.4 Intended use of the AI system3 questions
Part 38Modules 47–48Approx. 10 min
  1. A.10 Third-party and customer relationships: the objective and its controls4 min
  2. A.10.2 Allocating responsibilities6 min
  3. Practice: A.10.2 Allocating responsibilities3 questions
Part 39Module 49Approx. 5 min
  1. A.10.3 Suppliers5 min
  2. Practice: A.10.3 Suppliers3 questions
Part 40Module 50Approx. 5 min
  1. A.10.4 Customers5 min
  2. Practice: A.10.4 Customers3 questions

Frequently asked questions

Your questions,
answered.

About ISO/IEC 42001:2023 Annex A Controls, its certificate and enrolment.

Ask Sterling
Who is the ISO/IEC 42001:2023 Annex A Controls course for?

It is for AI governance, compliance, risk and information security leads; people implementing an AI management system; internal auditors; and product and data teams that build or buy AI. Learners new to the subject may start with Sterling Academy's ISO/IEC 42001 Awareness course, and AI Risk & Impact Assessment covers the risk treatment that selects the controls.

What does the ISO/IEC 42001 Annex A controls course cover?

The course starts with how Annex A works: how controls are selected through AI risk treatment (clause 6.1.3) and recorded in the Statement of Applicability. It then works through all 38 controls in the nine areas of Annex A, from AI policy to third-party and customer relationships: what each control requires, how to implement it with the Annex B guidance, real cases with dated sources, the evidence an auditor expects, and the risks of weak implementation.

How long does the ISO/IEC 42001 Annex A controls course take?

ISO/IEC 42001:2023 Annex A Controls is a set of short video modules followed by practice questions and a final exam. The course page shows the current number of modules and the approximate video runtime; allow additional time for the practice questions and the exam. With 12 months of access, you can complete it in one sitting or spread it over several sessions.

Do learners receive a certificate?

Yes. Learners who reach the 70% pass mark in the final exam receive a Sterling Academy Certificate of Completion for ISO/IEC 42001:2023 Annex A Controls. Each certificate carries a unique number and a QR code, and anyone can check it online using the certificate number and the holder's surname. The certificate states that the course covers 38 controls and lists the areas covered.

Is the course online and self-paced?

Yes. ISO/IEC 42001:2023 Annex A Controls is a self-paced online course made of short video modules, in English with captions. You study at your own pace during 12 months of access, and practice questions after modules help you check your understanding before the final exam. If a point is unclear, questions are answered by a Sterling consultant.

Can we enrol a team, and how much does it cost?

ISO/IEC 42001:2023 Annex A Controls has a list price of US$149 per learner, with a limited-time offer of US$99 per learner until 31 December 2026. Teams save 20% for 11 to 50 learners and 30% for 51 to 200; 201 or more learners are priced on request. Client administrators track their team's progress. Prices exclude taxes, and Sterling confirms final pricing.

Does this course make our organisation ISO/IEC 42001 certified?

No. The Certificate of Completion is a training certificate: it shows that one person completed ISO/IEC 42001:2023 Annex A Controls and reached the pass mark in its final exam. It is not certification of an organisation to ISO/IEC 42001, and Sterling does not certify organisations. An organisation is certified by an independent certification body after that body's own audit.

How many controls are in ISO/IEC 42001:2023 Annex A, and how are they grouped?

Annex A of ISO/IEC 42001:2023 lists 38 controls in nine areas, A.2 to A.10: policies related to AI, internal organization, resources for AI systems, assessing impacts of AI systems, the AI system life cycle, data for AI systems, information for interested parties, use of AI systems, and third-party and customer relationships. Annex B gives the implementation guidance for each control.

Assessment & completion

Complete the learning.
Keep a verifiable record.

Learners who complete the course and its final exam receive a numbered Sterling Academy Certificate of Completion with online QR verification.

This records course completion. It does not confer ISO certification or a professional auditor qualification.

Pass mark
70%
Prerequisites
None
Training records
Supports the competence requirement of ISO/IEC 42001:2023 (clause 7.2) for the people who put AI management system controls in place, with a dated record of who completed the training and their final exam result.
Ask about course requirements

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