Certified ISO/IEC 42001 Lead Auditor Training in Greece

The Certified ISO/IEC 42001 Lead Auditor course provides the expertise needed to audit AI Management Systems (AIMS) according to ISO 19011 and ISO/IEC 17021-1 standards. It empowers professionals to evaluate the ethical and responsible use of AI within organizations.

After completion, participants earn the globally recognized PECB Certified ISO/IEC 42001 Lead Auditor credential.

Examination and Certification

The exam meets the PECB ECP requirements and evaluates seven key auditing domains.
Successful candidates receive:

• The PECB Certified ISO/IEC 42001 Lead Auditor title
• 31 CPD credits
• Free retake within 12 months

Bilginç IT Academy is a recognized official training partner of PECB (Professional Evaluation and Certification Board).
Through this partnership, we deliver globally accredited PECB-certified training programs, enabling professionals to gain international recognition and practical expertise in areas such as Artificial Intelligence Management, Information Security, Environmental, and Quality Management Systems.
Visit our official PECB partner page here: Bilginç IT Academy – PECB Official Partner 

To take this course, you should:

• Have a basic understanding of the ISO/IEC 42001 standard
• Ideally have completed the ISO/IEC 42001 Lead Implementer course
• Be familiar with basic auditing principles

After completing this course, you will be able to:

• Explain key principles of AI Management Systems based on ISO/IEC 42001
• Interpret ISO/IEC 42001 requirements from an auditor’s perspective
• Evaluate conformity with ISO/IEC 42001
• Plan, conduct, and close audits based on ISO/IEC 17021-1 and ISO 19011
• Manage ISO/IEC 42001 audit programs effectively 

Why Choose This Course?

• Master AI auditing frameworks
• Gain international recognition
• Study fully online with flexibility
• Apply real-world audit methodologies

Day 1 – Introduction to AI Management and ISO/IEC 42001

• Fundamentals of AI management systems

• ISO/IEC 42001 certification process

• Core principles of AI governance

Day 2 – Audit Preparation and Initiation

• Risk-based and evidence-based auditing

• Stage 1 audit planning and initiation

Day 3 – On-Site Audit Activities

• Stage 2 audit execution

• Audit communication and evidence collection

• Developing test plans

Day 4 – Audit Closure

• Drafting nonconformity reports

• Quality review and audit documentation

• Managing internal audit programs