This course is designed for professionals involved in AI systems, quality management, and compliance who are seeking to develop auditing expertise in line with ISO/IEC 42001:2023, including:– Internal and external auditors seeking to specialize in AI Management Systems.– Quality and compliance managers involved in AI governance.– Consultants and advisors in AI or ISO management systems.– AI developers and project managers responsible for implementing AI solutions.– Business excellence and information security professionals working with AI technologies.

By the end of this training course, participants will be able to:– Understand the principles, structure, and requirements of ISO/IEC 42001:2023 for Artificial Intelligence Management Systems (AIMS).– Interpret and evaluate AI management system requirements from an auditor’s perspective.– Apply risk-based thinking to identify and manage potential biases in AI systems.– Plan, conduct, and report internal audits in accordance with ISO 19011:2018 guidelines.– Strengthen auditing skills to ensure compliance, effectiveness, and continuous improvement in AI governance.

– Overview of ISO and types of international standards (technical, management system, accreditation)– Introduction to the ISO/IEC 42001:2023 standard and its key clauses– Understanding the PDCA cycle, high-level structure, and risk-based thinking in AI systems– Interpretation of ISO 42001 requirements for ethical and responsible AI management– Introduction to audit principles based on ISO 19011:2018 and ISO/IEC 17021-1– Audit planning, preparation, and communication with stakeholders– Conducting internal audits: audit types, stages, techniques, and sampling methods– Identifying, classifying, and reporting non-conformities– Preparing audit reports and following up on corrective actions– Final audit conclusions and recommendations

ISO 42001 Internal Auditor Training – AI Management System Certification Course

As artificial intelligence (AI) becomes increasingly integrated into organizational systems, ensuring ethical and effective AI governance is paramount. The ISO/IEC 42001:2023 standard provides a framework for implementing an AI Management System (AIMS) that promotes transparency, accountability, and responsible AI usage.

ISO 42001 Internal Auditor Training

Level

Manager

Duration

3 Days

This intensive three-day training course equips participants with the knowledge and auditing skills required to assess and ensure compliance with ISO/IEC 42001. Through a combination of theoretical instruction and practical exercises, participants will learn how to plan, conduct, and report internal audits of AI management systems, in alignment with ISO 19011:2018 and ISO/IEC 17021-1 standards.

Whether you’re an auditor, consultant, quality manager, AI developer, or part of an organization adopting AI solutions, this course empowers you to navigate AI governance effectively and contribute to responsible AI implementation.

WHAT ARE THE BENEFITS

– Certified qualification to audit Artificial Intelligence Management Systems (AIMS) in accordance with ISO/IEC 42001:2023.
– Develop in-demand skills to assess and manage AI risks, ethics, and compliance within organizational frameworks.
– Gain practical knowledge of international auditing standards, including ISO 19011:2018 and ISO/IEC 17021-1.
– Learn to apply risk-based thinking to identify and address potential biases in AI systems.
– Flexible course delivery options with bilingual support, making it accessible for both English and Arabic-speaking professionals.

EXAMINATION AND CERTIFICATION

Participants who successfully complete the course will receive an official Certificate of Attendance issued by PDCA Learning, recognizing their commitment to professional development in AI management system auditing.

WHO SHOULD ATTEND?

This course is designed for professionals involved in AI systems, quality management, and compliance who are seeking to develop auditing expertise in line with ISO/IEC 42001:2023, including:

– Internal and external auditors seeking to specialize in AI Management Systems.
– Quality and compliance managers involved in AI governance.
– Consultants and advisors in AI or ISO management systems.
– AI developers and project managers responsible for implementing AI solutions.
– Business excellence and information security professionals working with AI technologies.

COURSE OBJECTIVES

By the end of this training course, participants will be able to:

– Understand the principles, structure, and requirements of ISO/IEC 42001:2023 for Artificial Intelligence Management Systems (AIMS).
– Interpret and evaluate AI management system requirements from an auditor’s perspective.
– Apply risk-based thinking to identify and manage potential biases in AI systems.
– Plan, conduct, and report internal audits in accordance with ISO 19011:2018 guidelines.
– Strengthen auditing skills to ensure compliance, effectiveness, and continuous improvement in AI governance.

COURSE CONTENT

– Overview of ISO and types of international standards (technical, management system, accreditation)
– Introduction to the ISO/IEC 42001:2023 standard and its key clauses
– Understanding the PDCA cycle, high-level structure, and risk-based thinking in AI systems
– Interpretation of ISO 42001 requirements for ethical and responsible AI management
– Introduction to audit principles based on ISO 19011:2018 and ISO/IEC 17021-1
– Audit planning, preparation, and communication with stakeholders
– Conducting internal audits: audit types, stages, techniques, and sampling methods
– Identifying, classifying, and reporting non-conformities
– Preparing audit reports and following up on corrective actions
– Final audit conclusions and recommendations

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