ICTQual ISO/IEC 42001 Artificial Intelligence Management System Lead Auditor Course

The ICTQual ISO/IEC 42001 Artificial Intelligence Management System Lead Auditor Course is a 5-day training programme with mandatory assessment through Approved Training Centres, covering 6 mandatory study units.

• ICTQual AB course focused on auditing artificial intelligence management systems according to ISO/IEC 42001

• 5-day training programme delivered through an Approved Training Centre

• Available in online, in-person, or blended formats, subject to the Approved Training Centre decision

• Covers 6 mandatory study units on AI management systems, ISO/IEC 42001, auditing, governance, risk, data, and privacy

• Includes mandatory assessment using quizzes consisting of 100 multiple-choice questions

• Requires a minimum assessment score of 75% to pass

The ICTQual ISO/IEC 42001 Artificial Intelligence Management System Lead Auditor Course is designed to educate professionals on the principles, requirements, and practices involved in auditing artificial intelligence management systems according to the ISO/IEC 42001 standard.

• Understand the role of lead auditors in AI management system compliance

• Learn how ISO/IEC 42001 supports responsible AI governance and risk control

• Develop knowledge of AI management system requirements and audit practices

• Explore ethical, legal, privacy, and societal considerations in AI deployment

• Build skills to identify nonconformities and recommend corrective actions

• Prepare for AI management system auditing roles across different organizations

Learners will develop the knowledge and practical auditing skills required to assess artificial intelligence management systems against ISO/IEC 42001 and support responsible AI governance.

• Understand the fundamental concepts and principles of AI governance and management systems

• Interpret the requirements, key clauses, and provisions of the ISO/IEC 42001 standard

• Plan, conduct, and report AI management system audits in accordance with ISO/IEC 42001

• Assess compliance, identify nonconformities, and recommend corrective actions

• Integrate ethical considerations into AI governance structures and decision-making processes

• Evaluate AI risks, data management practices, privacy implications, and data protection controls

This course is intended for professionals involved in artificial intelligence development, implementation, management, governance, compliance, risk, quality, information security, data protection, and auditing.

• AI managers and professionals responsible for AI governance

• Internal auditors and lead auditors seeking AI management system auditing competence

• Compliance officers working with AI-related standards, policies, and regulations

• Risk managers responsible for AI risk assessment and mitigation

• Information technology, data, and security professionals involved in AI systems

• Consultants, project managers, and quality professionals supporting AI management systems

Entry requirements may vary by institution, but typical requirements include relevant academic or professional background, practical experience, standards knowledge, and language proficiency.

• A bachelor’s degree or equivalent qualification in a relevant field such as computer science, engineering, information technology, or business administration is often preferred

• Practical experience in artificial intelligence, project management, quality management, auditing, or familiarity with relevant standards such as ISO/IEC 42001, ISO 9001, ISO 27001, and ISO 31000 is beneficial

Assessment is mandatory and conducted through Approved Training Centres to evaluate learners’ understanding of the course material and their ability to apply concepts in practical situations.

• Mandatory assessment conducted through Approved Training Centres

• Quizzes consisting of 100 multiple-choice questions

• Assessment of comprehension of course material and practical application of concepts

• Minimum passing score of 75% required

Successful learners may progress toward advanced AI governance, compliance, auditing, risk management, and standards-based professional roles as organizations adopt responsible AI management systems.

• Advanced training and specialization in AI management system auditing

• Professional roles in AI governance, compliance, and risk management

• Opportunities to support organizations implementing and auditing ISO/IEC 42001

• Career progression in internal auditing, lead auditing, consulting, and AI assurance