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ISO 42001 Lead Auditor

Build the skills to plan audits, evaluate evidence and communicate findings.

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What you’ll work towards

  • Understand the principles and requirements of ISO 42001:2023.

  • Apply ISO 19011:2018 principles for auditing management systems.

  • Integrate ISO 17011:2017 requirements for conformity assessment bodies.

  • Plan, conduct, report, and follow up on Artificial Intelligence audits effectively.

  • Utilize risk management principles in the context of Artificial Intelligence processes.

  • Demonstrate proficiency in communicating audit findings and recommendations.

Learning points are drawn from the existing course outline. Confirm the current syllabus and qualification requirements before booking.

Find your fit

Who is this course for?

  • ISO/IEC 42001 Lead Auditor
  • Artificial Intelligence Professionals
  • Internal Auditors
  • Compliance Officers
  • Security Managers
  • Risk Management Professionals
  • IT Managers

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Your course outline

This is a previously published outline, not a current booking offer. Any dates, fees, payment instructions, qualification versions or partner details within it require reconfirmation. Do not pay using historic instructions.

Read the existing course outline
Training Overview: The “ISO 42001:2023 Lead Auditor Course” integrates the principles of ISO 42001:2023, the International Standard for Artificial Intelligence Management, with the methodologies outlined in ISO 19011:2018, the Guidelines for Auditing Management Systems. The course equips participants with the skills and knowledge required to lead Artificial Intelligence audits effectively, ensuring compliance with ISO 42001:2023, and applies the principles of ISO 17011:2017 for conformity assessment bodies. It covers audit planning, execution, and reporting while emphasizing risk management and continual improvement. Target Audience: This course is designed for professionals involved in Artificial Intelligence processes, auditing, and conformity assessment, including:
  • ISO/IEC 42001 Lead Auditor

  • Artificial Intelligence Professionals
  • Internal Auditors
  • Compliance Officers
  • Security Managers
  • Risk Management Professionals
  • IT Managers
Reference Standards: The primary focus will be on ISO 42001:2023 for Artificial Intelligence Management. Reference standards include:
  • ISO 19011:2018 – Guidelines for Auditing Management Systems
  • ISO 17011:2017 – Conformity Assessment – Requirements for Bodies Providing Audit and Certification of Management Systems
Objectives: By the end of the ISO 42001:2023 Lead Auditor Course, participants will:
  1. Understand the principles and requirements of ISO 42001:2023.
  2. Apply ISO 19011:2018 principles for auditing management systems.
  3. Integrate ISO 17011:2017 requirements for conformity assessment bodies.
  4. Plan, conduct, report, and follow up on Artificial Intelligence audits effectively.
  5. Utilize risk management principles in the context of Artificial Intelligence processes.
  6. Demonstrate proficiency in communicating audit findings and recommendations.
  7. Contribute to continual improvement within Artificial Intelligence management systems.
Learning Outcome: Upon completion of the course, participants will have the skills and confidence to lead Artificial Intelligence audits in accordance with ISO 42001:2023. They will understand how to apply ISO 19011:2018 and ISO 17011:2017 principles to ensure effective auditing, conformity assessment, and continual improvement within the Artificial Intelligence industry. Course Content:
  1. Introduction to ISO 42001:2023 and Artificial Intelligence Management
    • Overview of Artificial Intelligence Management
    • Key Principles and Requirements of ISO 42001:2023
  2. ISO 19011:2018 Principles for Auditing Management Systems
    • Audit Planning and Preparation
    • Audit Execution Techniques
    • Roles and Responsibilities of a Lead Auditor
  3. ISO 17011:2017 Application for Conformity Assessment Bodies
    • Requirements for Audit and Certification Bodies
    • Competence and Impartiality in Auditing
  4. Audit Criteria, Scope, and Objectives
    • Establishing Audit Criteria and Scope
    • Setting Audit Objectives
  5. Risk-Based Auditing in Artificial Intelligence
    • Identifying and Assessing Risks in Artificial Intelligence
    • Incorporating Risk Management into Audit Planning
  6. Conducting Artificial Intelligence Audits
    • Interviewing Techniques
    • Document Review and Analysis
    • Observation and Sampling
  7. Reporting and Communicating Audit Findings
    • Conducting Opening and Closing Meetings
    • Reporting Audit Findings Effectively
    • Communication Skills for Auditors
  8. Follow-Up, Corrective Action, and Continual Improvement
    • Monitoring Corrective Action Implementation
    • Reviewing Lessons Learned for Continual Improvement
  9. Practical Exercises and Case Studies
    • Applying ISO 19011:2018 and ISO 17011:2017 principles in simulated audit scenarios
    • Analyzing real-life Artificial Intelligence audit cases
Duration: 5 Days Delivery Options: 
  • Self-Study Material, Exam and Certification 
  • Online Training, Material, Exam and Certification 

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ISO 42001 Lead Auditor

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