ISO/IEC 42001 Lead Implementer: Building an AI Management System
Establish Responsible AI Governance with ISO/IEC 42001 Implementation
Course Schedules
Training Course Overview
ISO/IEC 42001 Training Course standards provide a structured approach to managing artificial intelligence technologies across their complete operational lifecycle. As organizations increasingly integrate artificial intelligence into daily operational decisions, customer interactions, and product innovation, establishing strong AI governance becomes critical to address key challenges surrounding data quality, transparency, security, accountability, and ethical oversight.
This comprehensive AI Management System Training equips professionals with the core knowledge required to design, implement, and maintain an effective Artificial Intelligence Management System (AIMS). Participants gain practical guidance on defining scope, establishing baseline policies, conducting AI risk and impact assessments, and enforcing lifecycle controls.
Through interactive exercises and real-world case studies, delegates learn to align AIMS processes with overall operational goals. This Artificial Intelligence Governance Course ensures organizations can drive continuous AI innovation while establishing clear oversight, regulatory compliance, and audit readiness.
Training Course Objectives
This ISO/IEC 42001 Training Course is structured to build end-to-end expertise in establishing, operating, and auditing a compliant Artificial Intelligence Management System (AIMS). Delegates gain practical skills to translate international governance standards into effective organizational practices and long-term continuous improvement strategies.
- Explain the core requirements, structure, and strategic purpose of the ISO/IEC 42001 standard.
- Define AIMS scope, policies, measurable objectives, and governance framework structures.
- Maintain a accurate inventory of organizational AI systems and identify affected stakeholders.
- Conduct comprehensive AI risk assessments, impact analyses, and risk treatment plans.
- Implement robust controls to support responsible, transparent, and ethical AI deployment.
- Integrate AIMS management requirements across AI procurement, development, and maintenance processes.
- Establish mandatory documented information and evidence to demonstrate full compliance.
- Perform internal audits, performance evaluations, and management reviews to drive continual improvement.
Designed for
This specialized AI Management System Training is engineered for cross-functional professionals responsible for implementing, governing, or auditing AI frameworks across their organization. It provides vital tools for driving responsible technology adoption while mitigating systemic operational, legal, and ethical risks.
- AI governance, responsible AI, and compliance managers leading technology oversight initiatives.
- Information security, privacy, and risk management specialists focused on AI systems.
- Digital transformation leaders, AI product owners, data science leads, and IT managers.
- Legal counsel, internal auditors, and management system consultants preparing for ISO/IEC 42001 compliance.
Learning Methods
This Artificial Intelligence Governance Course utilizes an interactive, practice-driven learning format designed to turn complex regulatory concepts into actionable operational strategies. Hands-on exercises ensure participants gain practical confidence throughout every stage of implementation.
Delegates engage in instructor-led presentations, guided group discussions, real-world case study analyses, and interactive workshop exercises. Working through an end-to-end organizational scenario, participants define an AIMS scope, evaluate lifecycle risks, select essential controls, and construct practical implementation artifacts.
By applying concepts directly to realistic business contexts, attendees build a tailored implementation roadmap and a actionable 90-day execution plan that can be directly adapted and deployed within their own workplace.
Course Content
Understanding ISO/IEC 42001 and Establishing the AIMS
- Purpose, structure and key concepts of ISO/IEC 42001
- Understanding the organisation and its AI-related context
- Identifying interested parties and their requirements
- Defining the scope and boundaries of the AIMS
- Creating an inventory of AI systems and their intended uses
- Establishing leadership commitment and governance responsibilities
- Developing an AI policy and measurable AIMS objectives
- Conducting an initial gap assessment and implementation planning
Planning AI Risk and Impact Management
- Establishing criteria and methods for AI risk assessment
- Identifying risks throughout the AI system lifecycle
- Assessing data quality, privacy, security and reliability concerns
- Evaluating fairness, transparency, explainability and human oversight
- Planning AI system impact assessments
- Identifying opportunities associated with the responsible use of AI
- Selecting risk treatment options and assigning ownership
- Recording assessment results and treatment decisions
Designing and Implementing AI Controls
- Translating AIMS requirements into policies and procedures
- Reviewing controls relevant to organisational AI activities
- Governing AI design, development, testing and deployment
- Managing the acquisition and use of third-party AI systems
- Establishing controls for data, models and system outputs
- Defining human oversight, escalation and intervention processes
- Managing AI system changes, incidents and unintended outcomes
- Developing a phased control implementation plan
Operating and Evaluating the AIMS
- Integrating AIMS processes into existing business operations
- Assigning resources, competence and awareness responsibilities
- Managing communication and documented information
- Monitoring AI systems and the effectiveness of controls
- Establishing performance indicators and reporting arrangements
- Planning and conducting internal AIMS audits
- Preparing and conducting management reviews
- Identifying nonconformities and corrective actions
Continual Improvement and Certification Readiness
- Evaluating the effectiveness of the implemented AIMS
- Reviewing changes in AI systems, risks and interested-party needs
- Investigating incidents and applying lessons learned
- Managing corrective actions and continual improvement
- Organising documented evidence for an external audit
- Assessing gaps against certification expectations
- Presenting an AIMS implementation roadmap to leadership
- Developing a 90-day action plan for the participant’s organisation
The Certificate
- Anderson Certificate of Completion for delegates who attend and complete the training course
In Partnership With
Learn more about this course
The course is suitable for mechanical maintenance engineers, reliability engineers, maintenance technicians, field service engineers, plant operators, production supervisors, condition monitoring specialists, and technical personnel responsible for industrial hydraulic machinery and fluid power equipment.
Yes. Participants who successfully complete the ISO/IEC 42001 Lead Implementer: Building an AI Management System training course will receive a Anderson Certificate of Completion, demonstrating their commitment to professional development and continuous learning. This certificate provides formal recognition of the knowledge and skills gained during the course and can support professional growth and career progression.
Yes. The ISO/IEC 42001 Lead Implementer: Building an AI Management System training course can be customised and delivered exclusively for organisations seeking a tailored learning solution. Course content can be adapted to address specific business objectives, operational challenges, industry requirements, and organisational priorities. Customised training allows teams to focus on the topics most relevant to their roles while supporting wider organisational development goals.
Participants attending the ISO/IEC 42001 Lead Implementer: Building an AI Management System training course gain access to valuable industry insights, practical techniques, and internationally recognised best practices. The course helps professionals improve performance, strengthen confidence, broaden their perspective, and develop skills that contribute to both personal and organisational success. It also provides an excellent opportunity to exchange ideas and experiences with professionals from diverse sectors and backgrounds.
No. The ISO/IEC 42001 Lead Implementer: Building an AI Management System training course is open to professionals from a wide range of backgrounds and experience levels. The course content is structured to provide value to both those who are new to the subject and experienced practitioners seeking to deepen their expertise. While some prior knowledge may enhance understanding of certain concepts, it is not a requirement for participation
The ISO/IEC 42001 Lead Implementer: Building an AI Management System training course combines practical knowledge, current industry practices, and expert guidance to create a highly relevant learning experience. Rather than focusing solely on theory, the course emphasises practical application, enabling participants to develop skills and approaches that can be implemented directly within their organisations. This balance of knowledge and practical relevance helps participants achieve meaningful and lasting professional impact.
The ISO/IEC 42001 Lead Implementer: Building an AI Management System training course uses a variety of learning approaches to maximise participant engagement and knowledge retention. These may include expert-led presentations, practical exercises, case studies, group discussions, scenario-based activities, and collaborative learning opportunities. This approach encourages active participation and helps participants translate learning into practical workplace results.
Yes. Industrial hydraulic systems are widely used across manufacturing plants, process facilities, heavy machinery, marine operations, utilities, and other industrial environments. The principles covered are relevant to professionals responsible for operating, maintaining, inspecting, or troubleshooting hydraulic equipment across a broad range of applications.
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