ISO/IEC 42001:2023

What's the Course About

This ISO 42001 training course is designed to equip participants with the skills to implement and audit Artificial Intelligence Management Systems (AIMS) in accordance with ISO/IEC 42001:2023 - the world's first international standard for AI governance. The program covers AI policy development, risk assessment, ethical and responsible AI principles, lifecycle management, regulatory compliance, and continual improvement for AI-driven systems.

Participants will gain practical knowledge from Petreltech's consultancy expertise in AI governance, ethics, and compliance across various sectors.

Course Duration
5 Days (40 Hours)
Format
Expert-led lectures, AI governance workshops, and compliance audit simulations
Live Online
Via Zoom or MS Teams
In-Person Workshops
AI governance risk assessment exercises
Petreltech ISO/IEC 42001:2023 AI Management System Lead Auditor training session
Delivery Options

Medium of Course

Flexible hybrid delivery combining live online instruction with in-person AI governance workshops and audit simulations

Live Online Training

Instructor-led live sessions delivered via Zoom or Microsoft Teams, with real-time interaction, Q&A, and collaborative exercises. Suitable for AI programme managers, data scientists, technology officers, compliance professionals, internal auditors, and governance specialists across financial services, healthcare, government, manufacturing, and technology sectors deploying or overseeing AI systems.

In-Person Workshops

Onsite workshops with AI governance risk assessment exercises at your facility or Petreltech's training venue. Includes hands-on exercises in AI risk identification and assessment, AI impact analysis, AI policy drafting, lifecycle management planning, responsible AI controls review, and live compliance audit simulation role plays against ISO/IEC 42001:2023 requirements using real AI deployment scenarios.

PECB Certification Pathway

As an authorised PECB partner, Petreltech offers the opportunity to obtain PECB certification by enrolling in the official PECB examination - enhancing your global recognition and credentials as a certified ISO/IEC 42001:2023 Lead Auditor in Artificial Intelligence Management Systems and positioning yourself at the forefront of AI governance and compliance.

5-Day Programme

Course Curriculum & Modules

A comprehensive five-day programme covering all ISO/IEC 42001:2023 requirements - from AI policy and governance foundations through risk assessment, responsible AI controls, lifecycle management, and compliance audit simulations

1
Day 1 - ISO/IEC 42001:2023 Foundation, AI Governance & Leadership
  • Introduction to ISO/IEC 42001:2023 - structure, scope, and significance as the world's first international standard for AI governance
  • Key AI concepts: artificial intelligence, machine learning, AI system, AI lifecycle, and AI-specific risks and opportunities
  • Context of the organisation - internal and external issues relevant to AI governance, interested parties, and AIMS scope definition
  • Leadership and commitment - top management responsibilities for AI governance, AI policy development, and organisational roles
  • AI policy requirements - content, communication, documented information, and alignment with ethical and business objectives
  • Relationship of ISO/IEC 42001:2023 with ISO 27001:2022 and the High Level Structure (HLS) - integration opportunities for organisations with existing management systems
  • Global AI regulatory landscape - EU AI Act, Singapore Model AI Governance Framework, and emerging AI compliance obligations
  • Workshop: Defining AIMS scope and reviewing an AI policy against ISO/IEC 42001:2023 requirements
2
Day 2 - AI Risk Assessment, Impact Analysis & Responsible AI Planning
  • AI risk management framework - identifying AI-specific risks including bias, fairness, transparency, explainability, privacy, and security risks
  • AI risk identification and assessment methodology - AI system characteristics, deployment context, affected stakeholders, and risk significance criteria
  • AI impact analysis - assessing potential harms, benefits, and societal impacts of AI system deployment across the AI lifecycle
  • Ethical and responsible AI principles - fairness, accountability, transparency, human oversight, privacy, safety, and non-maleficence
  • Risk treatment for AI systems - controls, safeguards, and mitigations aligned with ISO/IEC 42001:2023 Annex requirements
  • AI objectives - setting measurable AI governance targets, responsible AI KPIs, and planning actions to achieve them
  • Documenting AI risk assessment findings and treatment decisions - AIMS risk register and treatment plan requirements
  • Workshop: Conducting an AI risk assessment and impact analysis exercise for a sample AI system deployment scenario
3
Day 3 - AI Lifecycle Management, Controls & AIMS Documentation
  • AI lifecycle management - governance requirements across AI system design, development, testing, deployment, monitoring, and decommissioning phases
  • Responsible AI controls - human oversight mechanisms, explainability requirements, data governance, model validation, and bias monitoring
  • Integrating responsible AI practices with organisational governance structures - accountability frameworks, roles, and decision-making processes
  • Support requirements - competence in AI governance, AI literacy and awareness programmes, communication of AI policies and practices
  • AIMS documentation requirements - mandatory documents and records under ISO/IEC 42001:2023, document control, and records management
  • Building AI governance policies aligned with ethical, legal, and business requirements - practical policy drafting and documentation techniques
  • Supplier and third-party AI governance - managing AI risks in supply chains, third-party AI tools, and outsourced AI services
  • Workshop: Drafting AI governance policies and mapping AI lifecycle controls to ISO/IEC 42001:2023 requirements
4
Day 4 - Performance Evaluation, Compliance & AIMS Internal Audit
  • Monitoring and measurement of AIMS performance - AI governance metrics, KPIs, and responsible AI performance indicators
  • Compliance evaluation for AI systems - assessing adherence to AI regulatory obligations, ethical principles, and organisational AI policies
  • Internal audit principles for AIMS - applying ISO 19011 guidelines to AI management system auditing
  • Planning and managing the AIMS internal audit programme - scheduling, resource allocation, audit scope, and audit criteria for AI systems
  • Conducting AIMS audits - document review, management and technical interviews, AI system testing observation, and evidence gathering
  • Writing AIMS audit findings and nonconformance reports - distinguishing major and minor nonconformities in AI governance contexts
  • Management review inputs and outputs - AIMS performance data, AI risk status, audit results, and decisions on AI governance improvements
  • Workshop: Developing an AIMS audit checklist and conducting a mock AI governance audit interview exercise
5
Day 5 - Mock Audit, Continual Improvement & PECB Exam Preparation
  • Full mock AIMS audit simulation - lead auditor and auditee role-play exercises for ISO/IEC 42001:2023 AI management system
  • Audit closing meeting - presenting findings, agreeing nonconformities, and documenting AI governance audit conclusions
  • Nonconformity management, corrective action, and root cause analysis for AIMS
  • Continual improvement strategies - maintaining compliance as AI regulations and technology evolve, including AI Act transition readiness
  • Post-certification maintenance - surveillance audit preparation, AIMS review cycles, and periodic AI risk reassessment
  • Pre-certification gap analysis - identifying AIMS gaps against ISO/IEC 42001:2023 requirements for organisations planning initial certification
  • PECB examination overview - format, structure, and preparation guidance for ISO/IEC 42001:2023 Lead Auditor certification
  • Course review, written assessment, and individual feedback from Petreltech's AI governance consultants
Course Resource Pack

Every participant receives Petreltech's exclusive ISO/IEC 42001:2023 resource pack:

  • ISO/IEC 42001:2023 clause-by-clause reference and interpretation guide
  • AI risk assessment register and impact analysis templates
  • AI governance policy and procedure templates
  • AI lifecycle controls mapping and responsible AI framework templates
  • AIMS internal audit checklists and audit programme templates
  • Nonconformance and corrective action report templates
  • Gap analysis tool for ISO/IEC 42001:2023 readiness assessment
  • PECB exam preparation guide for ISO/IEC 42001:2023 Lead Auditor
Why Train with Petreltech

How Petreltech Helps You Benefit

Practical expertise from consultants with emerging specialisation in ISO/IEC 42001:2023 and AI governance frameworks, combining standard requirements with real-world AI compliance cases across various sectors

Emerging AI Governance Expertise

Learn from Petreltech's consultants with emerging expertise in ISO/IEC 42001:2023 and AI governance frameworks - drawing on deep management systems consultancy experience across ISO 27001, ISO 9001, and ISO 14001 implementations to bring structured, practical guidance to the newest frontier in international standards: governing artificial intelligence systems responsibly and compliantly.

Real-World AI Compliance Cases

Gain hands-on skills through our ISO 42001 training course, combining standard requirements with real-world AI compliance cases - every session grounds abstract AI governance requirements in concrete scenarios drawn from financial services, healthcare, manufacturing, and government AI deployments, making ISO/IEC 42001:2023 requirements immediately applicable to the AI systems participants manage, audit, or advise on.

AI Governance Policy Development

Understand how to create AI governance policies that align with ethical, legal, and business requirements - participants develop practical skills in drafting AI policies that address responsible AI principles (fairness, accountability, transparency, explainability, privacy), meet ISO/IEC 42001:2023 documentation requirements, align with applicable AI regulations, and integrate with existing management system frameworks and corporate governance structures.

AI Risk Assessment & Lifecycle Management

Master AI risk assessment, impact analysis, and lifecycle management - including structured AI risk identification and evaluation techniques covering bias, fairness, transparency, privacy, and security risks; AI impact analysis methodology for assessing potential harms and societal impacts; and AI lifecycle governance practices covering design, development, testing, deployment, monitoring, and decommissioning phases from an ISO/IEC 42001:2023 compliance perspective.

Responsible AI & Organisational Governance

Integrate responsible AI practices with organizational governance structures - participants learn how to embed AI accountability frameworks, human oversight mechanisms, explainability requirements, and ethical AI principles into existing corporate governance, risk management, and compliance structures, creating coherent AI governance programmes that satisfy ISO/IEC 42001:2023 requirements and build stakeholder trust in the organisation's AI deployments.

Exclusive AI Management Templates

Access Petreltech's exclusive AI management templates, risk registers, and compliance checklists - a practical AIMS documentation toolkit providing immediately applicable templates for AI risk assessment registers, impact analysis forms, AI governance policies, lifecycle controls mapping worksheets, internal audit checklists, and gap analysis tools developed specifically for ISO/IEC 42001:2023 implementation and certification projects.

Certification Readiness & Evolving AI Regulations

Prepare for certification audits and maintain compliance as AI regulations evolve - participants gain the knowledge and tools to conduct effective gap analyses, build certification-ready AIMS documentation, manage AIMS internal audit programmes, and adapt their AI governance programmes to keep pace with rapidly developing AI regulatory requirements including the EU AI Act, Singapore's Model AI Governance Framework, and emerging AI standards.

What Sets This Course Apart

Notable Features

Designed for AI programme managers, technology officers, compliance professionals, internal auditors, and governance specialists seeking ISO/IEC 42001:2023 AIMS certification and practical AI governance expertise

Authorised PECB Partner

Authorised PECB Partner with access to official certification pathway - as an authorised PECB partner, Petreltech provides direct access to the official PECB ISO/IEC 42001:2023 Lead Auditor certification pathway. Participants receive guidance on examination registration, eligibility requirements, and the PECB certification process, ensuring a seamless pathway from training completion to internationally recognised AI management system lead auditor credentials.

PECB Lead Auditor Examination

Option to register for the PECB Lead Auditor Examination after training - upon completing the 5-day programme, participants can register for the official PECB ISO/IEC 42001:2023 Lead Auditor examination. Successful candidates who meet PECB's audit experience requirements can achieve full PECB Lead Auditor certification, recognised globally by organisations, certification bodies, regulators, and clients seeking AI governance and management system expertise.

Strengthened Professional Profile

Strengthens your professional profile in AI governance and auditing - ISO/IEC 42001:2023 is the world's first international standard for AI management systems, and practitioners who demonstrate certified expertise in AIMS implementation and auditing are positioned as pioneers in a rapidly growing field. This training and the PECB certification pathway significantly enhance professional credibility across AI governance, risk management, compliance, and technology leadership roles.

Global Recognition & Career Opportunities

Delivers global recognition and enhances future career opportunities - PECB ISO/IEC 42001:2023 Lead Auditor certification is recognised worldwide, opening career pathways in AI governance consulting, third-party AIMS auditing, corporate AI compliance, technology risk management, and AI policy advisory roles. As AI regulation accelerates globally, certified AIMS lead auditors will be in increasing demand across all industries deploying or developing AI systems.

"Lead the future of responsible AI with Petreltech's ISO 42001 training course - a comprehensive program that equips you to implement, govern, and audit AI systems in compliance with the world's first AI management standard."
Target Audience

Who Should Attend

Designed for professionals responsible for AI governance, AI system oversight, technology risk, compliance, or internal auditing across any industry deploying or developing AI systems

AI Programme Managers & Technology Officers

AI programme managers, Chief AI Officers, Chief Technology Officers, and technology leaders responsible for overseeing AI system development, deployment, and governance - and for establishing ISO/IEC 42001:2023-compliant AI Management Systems that satisfy board, regulatory, and stakeholder expectations for responsible and accountable AI use.

Internal Auditors & Lead Auditors

Internal auditors and aspiring lead auditors seeking to develop the knowledge and practical skills required to plan, conduct, report, and follow up on ISO/IEC 42001:2023 AIMS audits - and to obtain the PECB ISO/IEC 42001:2023 Lead Auditor certification for professional recognition in AI governance and management system auditing.

Compliance & Risk Professionals

Compliance officers, data protection officers, technology risk managers, and information security professionals who need a thorough understanding of ISO/IEC 42001:2023 requirements, AI risk assessment methodology, and responsible AI controls to enhance their organisation's AI governance posture and support AIMS certification and regulatory compliance programmes.

Consultants & AI Advisors

Management consultants, AI governance advisors, technology strategists, and third-party professionals who support organisations in implementing and certifying ISO/IEC 42001:2023 AIMS - and want to enhance their expertise with practical tools, real-world AI governance insights, and PECB-recognised lead auditor credentials that strengthen advisory credibility in AI management and compliance.

Partner with Petreltech

Partner with Petreltech for ISO 42001:2023 Training and Leverage Employee Skills & Knowledge in Artificial Intelligence in Management System

Petreltech's ISO/IEC 42001:2023 training brings together management systems consultancy depth and emerging AI governance expertise to deliver a practical programme that prepares organisations to implement, audit, and certify their Artificial Intelligence Management Systems.

Our approach combines rigorous coverage of ISO/IEC 42001:2023 requirements with real-world AI governance case studies, hands-on risk assessment workshops, and access to practical AIMS documentation templates - enabling participants to return to their organisations ready to lead AI governance initiatives, conduct AIMS internal audits, and support certification programmes from day one.

AI Governance & AIMS Expertise
Consultants with ISO/IEC 42001:2023 knowledge and broad management systems experience.
Authorised PECB Partner
Petreltech provides access to the official PECB ISO/IEC 42001:2023 Lead Auditor examination.
Multi-Sector AI Compliance Cases
Training examples from financial services, healthcare, government, and manufacturing AI deployments.
AIMS Documentation Toolkit Included
AI risk registers, governance policy templates, audit checklists, and gap analysis tools.

ISO/IEC 42001:2023 AIMS Training

5 Days  |  40 Hours

Live Online & In-Person

Certificate of Completion + PECB Certification Pathway available for all participants who complete the programme.

Enquire Now
Common Questions

Frequently Asked Questions - ISO/IEC 42001:2023 AIMS Training

ISO/IEC 42001:2023 is the world's first international standard for Artificial Intelligence Management Systems (AIMS), published in December 2023. It provides a framework for organisations to develop, maintain, and continually improve an AI management system - covering AI policy, AI risk management, ethical and responsible AI principles, AI lifecycle management, and continual improvement. The standard applies to any organisation that develops, provides, or uses AI systems - regardless of size, sector, or geography. Its significance lies in providing a globally agreed, structured approach to AI governance at a time when AI deployments are accelerating rapidly and regulators worldwide are introducing AI-specific legal requirements. ISO/IEC 42001:2023 is already being referenced by regulators and compliance frameworks globally and is expected to become a key benchmark for responsible AI governance alongside emerging legislation such as the EU AI Act. It follows the ISO High Level Structure (HLS), enabling integration with ISO 27001, ISO 9001, and other management system standards organisations may already hold.

An AI Management System (AIMS) under ISO/IEC 42001:2023 covers the full governance framework an organisation uses to manage its AI-related activities responsibly and compliantly. Key elements include: AI policy - establishing the organisation's commitment to responsible AI use, ethical principles, and compliance obligations; AI risk assessment - identifying, evaluating, and treating AI-specific risks including bias, fairness, transparency, privacy, safety, and security risks; AI impact analysis - assessing potential harms, benefits, and societal impacts of AI system deployments; AI lifecycle management - governance requirements across AI system design, development, testing, deployment, monitoring, and decommissioning; responsible AI controls - human oversight, explainability, data governance, model validation, and bias monitoring; documented information - policies, procedures, risk registers, and records; performance evaluation - monitoring AI governance KPIs and compliance; and continual improvement - adapting the AIMS as AI systems and regulations evolve. This course covers all of these areas through a combination of expert instruction and practical hands-on exercises.

ISO/IEC 42001:2023 and the EU AI Act address AI governance from complementary angles. The EU AI Act is binding EU legislation that categorises AI systems by risk level (unacceptable, high, limited, and minimal risk) and imposes specific conformity assessment and documentation requirements on providers and deployers of high-risk AI systems. ISO/IEC 42001:2023 provides a voluntary management system framework that helps organisations build the governance structures, risk management processes, documentation, and continual improvement mechanisms needed to demonstrate responsible AI management - which in turn supports compliance with the EU AI Act and other AI regulatory frameworks. Implementing ISO/IEC 42001:2023 and achieving AIMS certification provides organisations with credible, third-party-validated evidence of AI governance capability, which regulators, customers, and stakeholders increasingly demand. Singapore's Model AI Governance Framework similarly aligns with the principles covered in ISO/IEC 42001:2023. This course covers how AIMS implementation supports both voluntary and regulatory AI governance requirements across multiple jurisdictions.

Yes. ISO/IEC 42001:2023 follows the same High Level Structure (HLS) as ISO 27001:2022, ISO 9001:2015, ISO 14001:2015, and other modern ISO management system standards. This shared structure means that organisations already certified to ISO 27001 or ISO 9001 can integrate AIMS requirements into their existing management system framework without duplicating documentation, processes, or audit programmes. The integration is particularly natural between ISO/IEC 42001:2023 and ISO 27001:2022, as AI systems introduce new information security risks (data poisoning, adversarial attacks, model confidentiality, and AI-specific access controls) that organisations need to address within their ISMS. This course covers how AIMS requirements relate to ISO 27001 and ISO 9001, and how organisations can build integrated management system programmes that address quality, information security, and AI governance within a single coherent framework - reducing audit duplication and maximising governance efficiency.

Yes. Petreltech offers in-house delivery of this ISO/IEC 42001:2023 AIMS training for corporate clients, with content customised to your organisation's specific AI systems, deployment contexts, applicable regulatory requirements, and current AI governance maturity level. For organisations in financial services, healthcare, manufacturing, or technology, risk assessment workshops and AI governance exercises can be tailored to your actual AI deployments - making the learning immediately applicable to your real AIMS implementation. In-house delivery is particularly valuable for organisations seeking initial ISO/IEC 42001:2023 certification, building an internal AI governance audit team, or transitioning existing ISO 27001 or ISO 9001 programmes to include formal AI management system coverage. Contact us to discuss scheduling, group pricing, and customisation options tailored to your AI governance objectives.

Partner with Petreltech for ISO 42001:2023 Training and Leverage Employee Skills & Knowledge in Artificial Intelligence in Management System

Contact Petreltech to check upcoming scheduled dates, request in-house delivery for your team, or enquire about group pricing and PECB examination options for the ISO/IEC 42001:2023 Artificial Intelligence Management System Lead Auditor training programme.

Enquire About ISO 42001:2023 Training