LICQual Professional Qualification

LICQual ISO/IEC 42001:2023 – Artificial Intelligence Management System (AIMS) Internal Auditor

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Total Units

6

Total Credits

40

GLH

120

Learning Mode

Online

Assessment

Assignmnet based

Course Overview

The LICQual ISO/IEC 42001:2023 Artificial Intelligence Management System (AIMS) Internal Auditor course is a specialised professional training programme designed to develop essential skills in auditing AI management systems, assessing AI governance practices, and supporting responsible artificial intelligence implementation. This course provides learners with an understanding of ISO/IEC 42001:2023 requirements, AI management principles, risk management, and compliance frameworks.

This course focuses on practical internal auditing techniques for Artificial Intelligence Management Systems, including audit planning, evidence evaluation, AI risk assessment, control effectiveness review, documentation analysis, and improvement recommendations. Learners gain knowledge of how organisations establish transparent, ethical, and reliable AI processes while managing risks related to AI technologies.

The LICQual ISO/IEC 42001:2023 Artificial Intelligence Management System (AIMS) Internal Auditor course is ideal for AI professionals, auditors, compliance specialists, IT managers, risk professionals, and individuals involved in AI governance. With an industry-focused approach, this course strengthens auditing capabilities and enables learners to support effective AI governance, regulatory alignment, and responsible AI management practices within organisations.

WHY CHOOSE THIS QUALIFICATION?

Develop AI Management System Auditing Skills

The LICQual ISO/IEC 42001:2023 Artificial Intelligence Management System (AIMS) Internal Auditor course develops essential skills in AI governance, AIMS auditing, risk assessment, compliance evaluation, and responsible AI management practices.

Industry-Focused Learning

Gain practical knowledge of ISO/IEC 42001:2023 requirements, AI risk management, audit techniques, control evaluation, and governance processes used in organisations implementing AI technologies.

International Standards Awareness

Understand global AI management principles, auditing approaches, ethical AI practices, and compliance requirements that support transparent, secure, and responsible AI operations.

Career Advancement Opportunities

Enhance your expertise for roles such as AI Auditor, AIMS Internal Auditor, AI Governance Specialist, Compliance Officer, and Information Security Professional.

Flexible Learning Options

Study through approved providers with flexible learning methods designed to support professionals and individuals developing AI auditing and governance skills.

Qualification Structure

Introduction to ISO/IEC 42001:2023 and Artificial Intelligence Management Systems

  • Explain the structure and key requirements of the ISO/IEC 42001:2023 standard.
  • Describe the fundamentals of Artificial Intelligence Management Systems (AIMS).
  • Identify the roles and responsibilities of internal auditors within AI governance and risk management frameworks.

Principles and Practices of Internal Auditing in AI Management Systems

  • Illustrate the purpose and types of internal audits specific to AI management systems.
  • Develop effective audit plans and prepare for auditing activities in AI environments.
  • Recognize audit criteria and methods for collecting valid audit evidence in AI systems.

Conducting Internal Audits for AI Management Systems

  • Execute internal audit activities, including interviews, observations, and documentation review.
  • Assess AI system controls related to data integrity, security, and compliance.
  • Identify and document audit findings and nonconformities linked to AI management risks.

Reporting and Follow-up on AI Management System Audits

  • Prepare comprehensive and clear audit reports for various stakeholders.
  • Communicate audit findings effectively to management and relevant parties.
  • Develop and monitor corrective action plans to ensure continual improvement.

Legal, Ethical, and Regulatory Considerations in AI Auditing

  • Explain global legal and regulatory frameworks relevant to AI auditing.
  • Address ethical considerations including AI bias, transparency, and data privacy during audits.
  • Maintain auditor confidentiality and professional ethics throughout audit processes.

Preparing for Certification and Enhancing Auditor Competency

  • Outline steps to facilitate ISO/IEC 42001:2023 certification readiness via internal audits.
  • Apply best practices and audit tools to enhance audit effectiveness.
  • Plan for continuous professional development to stay current with AI auditing trends.

Eligibility

  • Applicants must be at least 16 years old.
  • Basic qualification in AI, IT, business, security, or related fields.
  • Relevant experience in AI, auditing, risk management, or compliance is preferred.
  • Basic English skills are required.


Frequently Asked Questions

This course is suitable for AI professionals, data specialists, IT managers, compliance officers, risk professionals, internal auditors, and technology leaders involved in artificial intelligence governance. It is ideal for individuals who want to develop skills in AI management systems, responsible AI practices, and ISO/IEC 42001:2023 auditing.

This qualification enhances expertise in AI governance, risk management, compliance evaluation, and artificial intelligence management systems. It improves professional opportunities in AI governance, technology compliance, information security, data management, and digital transformation sectors.

After completing this course, learners can pursue roles such as AI Management System Auditor, AI Governance Specialist, AI Compliance Officer, Responsible AI Analyst, Technology Risk Auditor, and AI Risk Management Specialist in national and international organizations.

The LICQual ISO/IEC 42001:2023 Artificial Intelligence Management System (AIMS) Internal Auditor Course is assessment-based and evaluated through multiple-choice questions (MCQs) designed to assess learners’ understanding of AI management system requirements, ISO/IEC 42001:2023 principles, AI governance practices, and internal auditing methods. There are no written examinations or lengthy assignments.

Learners must achieve a minimum passing score of 75% in the assessment to successfully complete the qualification. The MCQ-based assessment evaluates practical understanding of AI risk management, responsible AI implementation, audit procedures, compliance requirements, and AIMS improvement practices.

All assessments are internally reviewed and verified by the Approved Training Centre’s Internal Quality Assurer (IQA) and externally quality assured by LICQual’s External Quality Assurer (EQA) to ensure compliance with international qualification standards.

Successful completion confirms learners’ competency in ISO/IEC 42001:2023 Artificial Intelligence Management System requirements and internal auditing practices.

To enrol, follow these steps:

  • Choose an approved LICQual training centre.
  • Submit the application form.
  • Provide the required educational and/or professional documents.
  • Complete the registration process.
  • Begin your learning and assessment journey.

Please note that LICQual does not directly deliver training programmes. Learners must register through an approved training centre. If you need assistance finding an approved centre in your region, please contact LICQual at Licqual@licqual.co.uk for information about approved training centres, entry requirements, fees, and course schedules.

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