Course Finder
2026 Classroom Training Courses 2026 Online Training Courses 2027 Classroom Training Courses 2027 OnlineTraining Courses
In-House Training About Us
An Intensive Professional
Development Training Course on

ISO/IEC 42001 Lead Implementer: Building an AI Management System

Establishing AI Governance, Managing Risk and Driving Continual Improvement

Course Options

How would you like to proceed?

Need a tailored solution or group booking discount? Contact our course advisors.

Why Choose Us

The ISO/IEC 42001 Lead Implementer: Building an AI Management System training course guides participants through the practical implementation of an Artificial Intelligence Management System (AIMS). Artificial intelligence increasingly informs business decisions, customer services, operations and product development. This expanding use creates opportunities for efficiency and innovation, alongside concerns about accountability, data quality, security, fairness, transparency and human oversight. Organisations therefore require a structured approach for managing these matters throughout the entire AI system lifecycle.

ISO/IEC 42001 defines requirements for establishing policies, allocating responsibilities, assessing risks and impacts, applying controls, measuring performance and supporting continual improvement. An effective AIMS integrates AI governance with existing management and operational processes, providing clear accountability and evidence-based decision-making. Participants progress from organisational context and scope through risk and impact assessment, governance controls, operational processes, performance evaluation and certification readiness. They apply these concepts to an organisational case study and create a practical implementation roadmap adaptable to their own workplace.

This ISO/IEC 42001 Lead Implementer: Building an AI Management System training course will highlight:
  • Defining organisational context and AIMS scope
  • Establishing AI policies, responsibilities and governance controls
  • Assessing AI risks and impacts throughout the system lifecycle
  • Managing data quality, security, fairness, transparency and human oversight
  • Implementing operational processes and evaluating AIMS performance
  • Planning continual improvement and certification readiness
Why Choose ISO/IEC 42001 Lead Implementer: Building an AI Management System
Course Goals

What are the Goals?

Upon completing this course, participants will be able to:

  • Describe the purpose, framework and requirements of ISO/IEC 42001.
  • Determine the scope, policy, objectives and governance arrangements of an AIMS.
  • Recognise AI systems and the parties impacted by their development or use.
  • Develop methods for AI risk assessment, impact assessment and risk treatment.
  • Choose and apply controls that promote responsible AI practices.
  • Embed AIMS requirements within AI development, procurement and operational processes.
  • Create documented information and implementation evidence.
  • Assess AIMS performance using monitoring, internal audits and management review.
  • Prepare corrective actions, continual improvement and readiness for certification.

Who is this Training Course for?

Who Should Attend?

This ISO/IEC 42001 Lead Implementer: Building an AI Management System training course is designed for:

  • AI Management System Lead Implementers
  • AI Governance Managers
  • Artificial Intelligence Managers
  • AI Risk Managers
  • Compliance Managers
  • Information Security Managers
  • Data Protection Managers
  • Management Systems Managers
  • AI Programme and Project Managers
  • AI Management System Consultants
  • Internal and External Auditors
  • Legal and Regulatory Specialists
Learning Approach

How will this Training Course be Presented?

This course uses trainer-led presentations, group discussions, case studies and implementation activities. Participants follow an ongoing organisational scenario to establish the scope of an AIMS, evaluate AI risks and impacts, plan controls, determine the necessary documentation and develop an implementation roadmap.

The 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
Recognition

Certificate

  • • Wallstreet Development Academy Certificate of Completion for delegates who attend and complete the training course.

Frequently Asked Questions

You will focus on establishing an AI management system aligned with ISO/IEC 42001. The course title and subtitle identify AI governance, risk management and continual improvement as its central areas. A detailed module-by-module syllabus is not provided in the available course information, so further topics cannot be verified.
Managing risk is one of the stated themes of this ISO/IEC 42001 training course. It is presented within the wider task of establishing and improving an AI management system. The available course content does not identify specific risk assessment methods, tools or case studies.
The learning can support workplace efforts to establish AI governance, manage AI-related risk and develop an AI management system. Its lead implementer perspective is relevant to applying these areas as connected organisational responsibilities. The page does not provide examples for particular industries, departments or AI use cases.
The course brings together AI governance, risk management and continual improvement within an AI management system context. This provides an integrated implementation focus rather than addressing each stated area in isolation. The available page information does not describe sector-specific requirements or current regulatory developments.
The course addresses AI governance as part of establishing an AI management system. Its lead implementer focus connects governance with the practical responsibility of building and managing that system. The available page information does not specify individual governance frameworks, controls or implementation exercises.
Continual improvement is a core focus identified in the course subtitle. The training links improvement with AI governance and risk management rather than treating it as a separate topic. Specific improvement cycles, monitoring methods or performance measures are not listed in the information provided.
The course is framed for people seeking lead implementer knowledge in building an AI management system. Its stated focus is suited to responsibilities involving AI governance, risk management and continual improvement. However, the available course information does not specify job titles, prerequisite experience or formal entry requirements.
If you would like further information about this training course, our team is available to provide professional guidance and support: Email: [email protected] In-house training: https://www.wallstreetda.com/in-house-training

Related Articles

View All Articles