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ISO 42001 Certification Training Course Overview

Artificial Intelligence is revolutionizing industries by empowering organizations and individuals to automate time-consuming tasks with incredible speed and precision. However, as its impact grows, it's equally important to ensure that AI is deployed efficiently, responsibly, and ethically, following best practices while minimizing potential risks. The ISO 42001 Certification Training Course provides professionals with the advanced skills necessary to audit Artificial Intelligence Management Systems (AIMS) in alignment with the ISO/IEC 42001:2023 standards, ensuring compliance with global governance and regulatory frameworks.


Accredited By
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ISO 42001 Certification Course will equip you with the tools to strategically plan, execute, and report audits for AI systems, focusing on critical areas such as risk management, AI lifecycle governance, and the ethical application of AI technologies. By integrating practical audit simulations, real-world case studies, and hands-on exercises, you’ll master the ability to identify compliance gaps, assess operational risks, and implement strategies for continuous improvement.


Designed for professionals with a foundational understanding of AI and ISO management systems, including auditors, IT specialists, AI developers, and compliance officers, this training emphasizes core audit principles, regulatory compliance, risk-based auditing, and leadership strategies. Upon completion, you’ll be prepared to lead high-impact audits, drive AI governance initiatives, and ensure that your organization’s AI systems operate in a compliant, transparent, and ethically sound manner.

ISO 42001 Lead Auditor

What You Will Get?

PMP Training

Learning Outcome

Once you complete the ISO 42001 Lead Auditor Certification Course and Training, the participants will be able to:

  • Gain in-depth knowledge of AI management systems i.e. ethical and regulatory considerantion in Application of Artificial Intelligence.
  • Implement the skills to get the audits which are aligned with AI-driven environments to gain the compliance with ISO 42001.
  • Cross check audit AI systems from development to deployment if they follow appropriate frameworks or not.
  • Document the audit results, make recommandations and follow up the actions to maintain ongoing compliance.

Training Calendar

Lifetime access

Batch Detail

English

  • Self paces videos, assessments, recall quizzes, more
  • Course fee inclusive of exam fee
  • For more details, reach us at training@novelvista.com
USD 471 USD 550

(Cost includes Training, Exam & Certification)

Batch Detail

English

 
12:30 AM to 8:30 AM (EST) Weekend batch
USD 471 USD 550

(Cost includes Training, Exam & Certification)

Batch Detail

English

 
9:30 PM to 5:30 AM (PST) Weekend batch
USD 471 USD 550

(Cost includes Training, Exam & Certification)

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ISO 42001 Course Curriculum

    • Overview of Artificial Intelligence (AI): Learn the basics of AI, including machine learning and neural networks, and how they enable machines to mimic human intelligence.
    • Impact of AI on Various Sectors: Understand how AI is transforming industries like healthcare, finance, and manufacturing through automation and data-driven insights.
    • Key features and challenges of AI systems: Explore the key characteristics of AI systems, such as adaptability and decision-making, and the challenges of bias, transparency, and ethical concerns.
    • Importance of managing AI systems responsibly: Recognize the need for ethical oversight in AI development to ensure fairness, privacy, and compliance with regulations.
    • Scope and Application of ISO 42001: Understand the purpose of ISO 42001 and its application to AI management systems, focusing on its global relevance and standards for ethical AI.
    • NNormative References, Terms and Definitions: Learn key terms, definitions, and references that are essential for understanding the ISO 42001 Certification Training Course framework and its requirements for AI systems.
    • Context of the Organization and Its Impact on AI Management Systems: Explore how the internal and external environment of an organization influences its AI management approach, ensuring alignment with regulatory and ethical standards.
    • Leadership and Commitment Requirements: Learn the essential leadership qualities needed to drive AI governance. Understand how strong leadership fosters accountability, ethical practices, and a culture of continuous improvement in AI management systems.
    • Formulating and Communicating AI Policy: Explore how to develop clear AI policies that align with organizational goals and ensure compliance with ethical guidelines. Effective communication ensures that policies are understood and adopted across all levels.
    • Defining Roles, Responsibilities, and Authorities: Understand the importance of clearly defining roles within the AI management system. This ensures accountability, improves decision-making, and aligns responsibilities with organizational objectives and regulatory requirements.
    • Addressing Risks and Opportunities: Learn how to identify and assess risks and opportunities within AI systems, ensuring proactive management and improvement.
    • Setting and Planning AI Objectives: Understand how to set clear, measurable objectives for AI systems that align with organizational goals and regulatory requirements.
    • Planning for Changes in AI Management Systems: Explore strategies for managing changes in AI systems, ensuring that modifications are aligned with standards and do not disrupt system integrity.
    • Determining and Providing Necessary Resources: Learn how to identify and allocate the resources required for the successful implementation and maintenance of AI management systems.
    • Ensuring Competence and Awareness: Understand the importance of training and developing competency among team members to ensure effective AI system management and compliance.
    • Effective Internal and External Communication: Explore methods for ensuring clear and effective communication both within the organization and with external stakeholders about AI system operations and governance.
    • Control of Documented Information: Learn how to manage and control documented information in AI systems, ensuring compliance and traceability of all relevant data.
    • Operational Planning and Control: Learn how to effectively plan and control AI system operations to ensure smooth implementation and continuous alignment with organizational goals.
    • AI Risk Assessments and Treatments: Understand how to conduct risk assessments for AI systems and implement appropriate mitigation strategies to address identified risks.
    • AI System Impact Assessments: Explore methods for assessing the impact of AI systems on business operations, stakeholders, and regulatory compliance, ensuring responsible deployment.
    • Monitoring, Measurement, Analysis, and Evaluation: Learn how to monitor and measure the performance of AI systems, analyzing data to evaluate effectiveness and identify areas for improvement.
    • Conducting Internal Audits: Understand the process of conducting internal audits for AI management systems, ensuring compliance with ISO 42001 Certification standards, and identifying potential non-conformities.
    • Management Review Processes: Explore the importance of management reviews to evaluate AI system performance, ensuring alignment with organizational objectives and continuous improvement.
    • Continual improvement strategies
    • Handling nonconformities and corrective actions
    • Fundamental audit concepts and principles
    • Planning and initiating audits
    • Preparing audit documents and checklists
    • On-site audit activities
    • Collecting and verifying audit evidence
    • Effective communication during audits
    • Preparing audit reports and documentation
    • Conducting closing meetings
    • Follow-up actions and continual improvement
    • Casy Study 1: How to Demonstrate Assurance and Credibility of Your AI Systems with ISO 42001.
    • Casy Study 2: Summary of 42001 and how it helps manage your AI security risks and enhance your management of AI.

ISO 42001 Course Details

  • There is no mandatory pre-requisite for the ISO 42001 Lead Auditor Certification Course. However, having the following knowledge could be beneficial:

    • An understanding of AI concepts.
    • Familiarity with the frameworks of ISO
    • Experience in Artificial Intelligence (AI) or Auditing.
    • Ensure ethical AI use within organizations, promoting trust and compliance
    • Navigate AI-related organizational auditing, focusing on regulatory and ethical standards.
    • Apply best auditing practices for AI Management Systems (AIMS).
    • Interpret ISO 42001 Course requirements from an auditor’s perspective.
    • Evaluate AI system compliance with ISO/IEC 42001 standards.
    • Plan, conduct, and close ISO/IEC 42001 compliance audits.
    • Manage an ISO/IEC 42001 audit program effectively.
    • Understand regulatory and ethical issues surrounding AI implementation.
    • Global Recognition: Earn a globally recognized certification in AI auditing, opening doors to career advancement across industries.
    • Career Advancement: Enhance your qualifications and increase your chances of landing high-level auditing roles in AI management.
    • Ethical Expertise: Gain proficiency in auditing AI systems with a focus on ethical practices and regulatory compliance.
    • Comprehensive Skill Set: Learn the full auditing process, from planning and conducting audits to reporting and compliance.
    • Practical Application: Develop hands-on experience with real-world audit scenarios, preparing you for challenges in the AI auditing field.
    • Increased Employability: Certified professionals are in high demand as organizations increasingly seek experts in AI governance and compliance. Increase your chances of getting a high-ranking job or a good promotion.
    • Industry-Applicable: Apply your skills across various industries that use AI systems, such as tech, finance, healthcare, manufacturing, etc.

    Our ISO 42001 Lead Auditor Certification Training Course is taught by expert trainers with overall 15 years of experience. They’ve trained over 5000 professionals and worked with leading companies. With their deep knowledge of AI management, they provide practical, real-world insights, ensuring you receive top-quality, internationally recognized education.

    The ISO/IEC 42001 Lead Auditor Certification course is delivered through online, virtual, and instructor-led training. This format allows you to attend live sessions from anywhere, providing flexibility while maintaining real-time interaction with experienced instructors. You’ll benefit from personalized guidance and expert insights throughout the course, ensuring a thorough understanding of the material.


    The virtual delivery ensures that you can access high-quality training from the comfort of your location, with the opportunity to engage actively in discussions and practical simulations.

Certified ISO 42001 Lead Auditor Certification Exam Format

GSDC Certificate
  • Exam Questions: 40
  • Exam Format: Multiple Choice
  • Language: English
  • Passing Score: 65%
  • Duration: 90 minutes
  • Open Book: No
  • Certification Validity: Lifetime
  • Complimentary Retake: Yes

ISO 42001 Lead Auditor Certification Roadmap

ISO 42001 Lead Auditor Certification Roadmap

ISO 42001 Lead Auditor Certification Roadmap

Why Choose NovelVista?

NovelVista is a trusted name globally, offering high-quality training for ISO/IEC 42001 Lead Auditor Certification. Here’s why NovelVista is the ideal choice for your certification journey.

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ibm
infosys

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Frequently Asked Questions

You need to complete approved ISO 42001 training, pass the exam, and gain relevant audit experience.

Training includes ISO 42001/AIMS principles, audit methodologies per ISO 19011/17021, audit planning and execution, risk evaluation, on-site techniques, reporting, and follow-up. Formats include interactive workshops, mock audits, and real-world case exercises.

No universal prerequisite: basic knowledge of ISO 42001 and AI is expected. Some providers prefer prior auditor credentials or ISO 27001 LA certification. Practical audit experience strengthens eligibility.

There are no formal prerequisites, although knowledge of AI principles, risk management, and auditing can be beneficial. Experience in auditing or AI governance is desirable but not necessary.

Passing qualifies you for the title of “Certified ISO/IEC 42001 Lead Auditor”. This credential validates your ability to lead conformity audits of AI management systems, enhancing credibility and access to high-impact AI governance roles.

The passing score for the ISO 42001 Certification exam is 65%. You must demonstrate a strong understanding of the material and successfully complete the exam to receive the certification.

Yes, NovelVista offers a complimentary retake if you do not pass the ISO/IEC 42001 Lead Auditor Certification exam on your first attempt.

Upon successful completion, you will receive the ISO/IEC 42001 Lead Auditor Certification, recognized globally and awarded by the Global Skill Development Council (GSDC).

Yes, NovelVista offers ongoing support even after the course completion, providing additional resources and guidance to help you succeed in your auditing career.