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Certified ISO 42001:2023 AIMS Lead Implementer Training Course. IBITGQ. In English

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ISO 42001 Lead Implementer training at a glance

  • Level: Advanced | Duration: 3 days (21 CPD/CPE points).
  • Accreditation: IBITGQ | Qualification: Certified ISO 42001:2023 AIMS – Lead Implementer.
  • Prerequisites: ISO 42001 Foundation (or equivalent knowledge).

    Who this course is for


    • AI governance officers and compliance managers.
    • Risk and information security professionals.
    • DPOs and legal advisors.
    • AI/ML product managers and technical leads.
    • Quality and assurance managers.
    • Auditors and consultants.
    • CIOs, CTOs and heads of innovation.

    What you’ll learn

    • How to initiate and plan an AIMS project, including project mandate, project documentation and RACI ownership.
    • How to define scope and governance, set boundaries and align to organisational objectives.
    • How to integrate AIMS with existing management systems such as ISO 27001 and ISO 9001.
    • How to embed ethical and responsible AI principles in policies, controls and lifecycle decisions.
    • How to run AIspecific risk assessments and impact assessments, and develop the SoA and risk treatment plan.
    • How to develop and manage AIMS documentation, assign roles, and build competence and awareness.
    • How to monitor performance with KPIs, run internal audits, manage reviews and drive continual improvement.
    • How to assess certification readiness and close gaps ahead of a conformity assessment or audit.

    Why choose this course

    • Practical implementation focus - built around the tasks needed to establish a sustainable, auditready AIMS.
    • Part of the ISO 42001 pathway – progress your skills from foundation to implementation leadership.

     

     

    What the course covers

    1) Initiating and planning the AIMS project

    • Project mandate, leadership commitment, stakeholders and planning.
    • Build a highlevel PID and a RACI for roles and communication.
    • Analyse organisational factors that help or hinder success.

    2) Scope, context and governance

    • Define AIMS scope and boundaries using internal and external factors.
    • Set governance structures, responsibilities and operational requirements across the AI lifecycle.

    3) Aligning with existing management systems

    • Map overlaps with ISO 27001 and ISO 9001.
    • Identify integration opportunities and coordinate change control and incident management.

    4) Ethics and responsible AI

    • Apply fairness, accountability, transparency and human oversight.
    • Embed ethical requirements into policies, design and deployment, and evaluate social impact.

    5) Risk assessment 

    • Identify AI specific threats and vulnerabilities.
    • Evaluate risk across lifecycle stages, and select treatments and controls.
    • Develop the risk register, SoA and risk treatment plan (aligned with ISO 31000 principles).

    6) Impact assessment 

    • Assess legal, ethical and societal impacts.
    • Evaluate fairness, discrimination, explainability and human rights risks.
    • Recommend mitigations and document results for accountability.

    7) Documentation and competence

    • Develop core AIMS documents and maintain version controlled records.
    • Assign responsibilities, build training and awareness, and address skills gaps.

    7) Documentation and competence

    • Develop core AIMS documents and maintain version controlled records.
    • Assign responsibilities, build training and awareness, and address skills gaps.

    8) Compliance and monitoring

    • Build a compliance register and tracking processes (e.g. EU AI Act, GDPR, OECD AI Principles).
    • Define KPIs, collect data and evaluate performance for improvement.

    9) Internal audit, management review and continual improvement

    • Plan and run internal audits and management reviews.
    • Implement corrective actions, track improvements and close lifecycle gaps.

    10) Certification readiness

    • Evaluate documentation and controls, identify nonconformities and recommend actions to pass external assessment or certification.

     

     

    Exam format

    • Method: Online, multiple choice.
    • Duration: 90 minutes.
    • Questions: 40.
    • Pass mark: 30/40.

    When you sit the exam

    The course schedule includes the exam at the end of day 3.

    What you need

    • Full course materials are provided.
    • A suitable laptop with a webcam for the online exam.

    Accreditation and certificate

    • Awarding body: IBITGQ
    • Qualification: Certified ISO 42001:2023 AIMS – Lead Implementer


    Recertification

    • Every three years by retaking a recertification exam.
    • You can take the recertification exam between months 35–38.

     

     

    FAQs

     How long is the course?  

    Three days. Awards 21 CPD/CPE points.

     Do I need to have completed the Foundation course? 

    Yes – you must have completed the ISO 42001 Foundation course or have equivalent knowledge.

     Is the exam taken during the course?  

    Yes – it’s scheduled at the end of Day 3.

     Who should attend?  

    Professionals responsible for AI governance and AIMS implementation, including compliance, risk, security, legal, DPO, product and technical leads, auditors and senior technology leaders.

     What will I be able to do after the course?  

    Initiate and plan an AIMS, set scope and governance, integrate with ISO 27001/9001, run AI risk and impact assessments, develop the SoA and core documentation, define KPIs, run internal audits and reviews, drive continual improvement and prepare for certification.

     Is this part of a wider pathway?  

    Yes. It’s part of the ISO 42001 pathway.

     What materials are included and what tech do I need?  

    Course materials are included. You’ll need a laptop with a webcam for the online exam.

    Subject to change after publishing

     

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