ISO/IEC 42001 Lead Implementer Training & Certification

Become a Certified AI Lead Implementer

  • Learn the fundamentals of AI and ML, and explore their influence on individuals and organizations today
  • Recognize the importance of adopting a structured approach to implementing AI within an organization
  • Benefit from 100% practice-based, scenario-driven learning
  • Get extended post-training support, career guidance & mentorship

Program Highlights

The ISO/IEC 42001:2023 Lead Implementer Training & Certification program by InfosecTrain equips participants with the skills and knowledge to implement an Artificial Intelligence Management System (AIMS) aligned with the ISO/IEC 42001:2023 standard. Delivered through immersive, instructor-led sessions, this program blends theoretical concepts with real-world scenarios to ensure practical application. Learners will explore AI and ML fundamentals, implementation best practices, regulatory considerations, and responsible AI governance. With specimen exams, in-depth AI use cases, case studies, and extended post-training mentorship, this course ensures participants are well-prepared to lead AI implementation initiatives with confidence and compliance.

  • 36-Hour LIVE Instructor-Led Training
  • Immersive Learning
  • Telegram Support Group for Exam Practice
  • In-depth AI Use Cases
  • End-to-end Implementation
  • Extended Post-Training Support
  • Specimen Exam
  • Career Guidance & Mentorship
  • Practice-based Learning

ISO/IEC 42001 Lead Implementer Training

Artificial Intelligence (AI) is transforming how organizations operate, but it also brings challenges around ethics, transparency, and security. ISO/IEC 42001:2023 is the first global standard for establishing and managing Artificial Intelligence Management Systems (AIMS), ensuring AI is used responsibly and effectively.

InfosecTrain’s ISO/IEC 42001:2023 Lead Implementer Training equips you with the knowledge and practical skills to design, implement, and maintain an AIMS aligned with the standard. Through scenario-driven learning and real-world case studies, you’ll learn to build robust processes and controls that promote ethical, secure, and compliant AI use—enabling you to lead AI adoption with confidence.

  • Introduction to Artificial Intelligence (AI)
  • Introduction to Machine Learning (ML)
  • The concept of data science
  • AI concepts and terminologies
    • Generative AI
    • Discriminative AI
  • Understand how AI becomes disruptive
  • AI considerations
  • Regulatory stipulations
  • Transparency needs
  • Introduction to ISO/IEC 42001:2023 standard Applicability of the standard
  • Relationship between Information Security, Data Privacy and AI
  • Benefits
  • Responsible use of AI
  • Efficiency factors
  • Risk-based approach
  • Traceability, transparency, and reliability
  • Clauses and requirements
  • ISO/IEC 22989:2022 standard – key terms explanation
  • ISO/IEC 23053:2022 standard
  • Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)
  • ISO/IEC 23894:2023 standard
  • Artificial intelligence – Guidance on risk management
  • ISO/IEC 42001:2023 Implementation steps
  • Case studies and exercises

This training is ideal for:

  • AI Developers and Operators
  • Business Function Managers
  • Quality Managers
  • Business Excellence Professionals
  • Information Security Professionals
  • Consultants
  • AI Service Vendors
  • Any AI Stakeholder in Any Capacity
  • Management System Auditors

An understanding of data science and information management will help.

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

  • Gain a comprehensive understanding of AI principles and their organizational impact.
  • Master the implementation of an AI Management System (AIMS) in alignment with ISO/IEC 42001:2023 standards.
  • Learn to conduct thorough AI impact and risk assessments with confidence.
  • Develop essential documentation and policies to support effective AI governance.
  • Get equipped to prepare for and navigate internal and external audits successfully.
  • Elevate your career in the rapidly evolving and transformative world of AI.

We provide the exam with TÜV SÜD. Connect with our training advisors for detailed exam structure and certification process.

Mode Online
Number of Questions 50
Pattern of Exam 5 Scenario-based, 45 MCQ
Type of Question Scenario-based and MCQ
Passing Score 70% to pass (49 marks)
Total Marks 70 (45X1+5X5)

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