Day 1: Introduction to ISO/IEC 42001 and Initiating an AIMS Implementation
The first day introduces the ISO/IEC 42001 standard and the activities required to begin an AI Management System implementation.
Topics include:
- Introduction to ISO/IEC 42001
- What is an Artificial Intelligence Management System?
- Purpose of an AIMS
- Relationship between AI governance and management systems
- Fundamental ISO/IEC 42001 concepts
- Key principles
- Understanding organisational context
- Identifying relevant interested parties
- Determining the AIMS scope
- Initiating the implementation project
- Roles and responsibilities
- Management commitment
- Initial assessment
Participants learn how to structure the beginning of an AIMS implementation and identify the information required before formal implementation work begins.
Day 2: Planning the Implementation of an AI Management System
The second day focuses on translating ISO/IEC 42001 requirements into a structured implementation plan.
Topics include:
- Developing an implementation roadmap
- Defining AIMS objectives
- Assessing AI-related risks
- Risk treatment
- Planning resources
- Establishing timelines
- Defining implementation responsibilities
- Identifying documentation requirements
- Developing AI-related policies
- Selecting controls
- AI lifecycle considerations
- Compliance requirements
- Internal coordination
Participants learn how to convert the requirements of ISO/IEC 42001 into a practical implementation programme.
Day 3: Implementing an Artificial Intelligence Management System
The third day focuses on putting the planned AIMS into operation.
Topics include:
- AIMS implementation activities
- Applying policies and procedures
- Operationalising AI governance
- Implementing risk controls
- AI system lifecycle management
- Human oversight and accountability
- Data and model management
- Transparency
- Accountability
- Internal communication
- Competence and awareness
- Operational controls
- Documentation management
- Creating implementation evidence
- Integrating the AIMS into day-to-day operations
This module helps participants understand how to move beyond documentation and establish an AI management system that functions in practice.
Day 4: Monitoring, Continual Improvement, and Certification Audit Preparation
The final day focuses on monitoring the AIMS, improving its effectiveness, and preparing for independent certification.
Topics include:
- Monitoring and measurement
- AIMS performance evaluation
- Internal review
- Management review
- Nonconformities
- Corrective actions
- Continual improvement
- Certification audit preparation
- Audit readiness
- Third-party certification process
- Evidence review
- Documentation readiness
- Preparing for audit findings
Participants learn how to maintain the AIMS as a living management system that continues to evolve with organisational and AI-related requirements.
What's Included
Participants receive:
- More than 400 pages of training material
- Practical examples
- Exercises
- Quizzes
- Implementation-focused learning resources
Participants who attend the course receive an attestation of completion worth 31 CPD (Continuing Professional Development) credits.
Candidates who complete the course but do not pass the examination are eligible for one free exam retake within 12 months of the original examination date.
Certification
After successfully completing the course and passing the examination, eligible candidates may apply for the:
PECB Certified ISO/IEC 42001 Lead Implementer
credential.
The credential is intended to demonstrate the candidate's ability to effectively plan and implement an Artificial Intelligence Management System aligned with ISO/IEC 42001.
Exams and Assessments
The PECB Certified ISO/IEC 42001 Lead Implementer examination is included with the course.
Exam Duration
The examination is designed to meet the requirements of the PECB Examination and Certification Program.
Exam Competency Domains
The examination covers the following domains:
Domain 1: Fundamental Principles and Concepts of an AIMS
- Artificial Intelligence Management System fundamentals
- Core AIMS principles
- ISO/IEC 42001 concepts
Domain 2: Artificial Intelligence Management System Requirements
- ISO/IEC 42001 requirements
- Management system requirements
- Organisational AI governance needs
Domain 3: Planning an AIMS Implementation Based on ISO/IEC 42001
- Implementation planning
- Scope
- Objectives
- Resources
- Risk-based planning
- Implementation roadmap
Domain 4: Implementing an AIMS Based on ISO/IEC 42001
- Policies
- Procedures
- Operational controls
- Governance activities
- Implementation evidence
Domain 5: Monitoring and Measurement of an AIMS
- Performance monitoring
- Measurement
- Evaluation
- Review
Domain 6: Continual Improvement and Preparation for Certification Audit
- Nonconformities
- Corrective actions
- Continual improvement
- Audit preparation
- Certification readiness
Specific details regarding examination type, available languages, and applicable exam rules are determined by the relevant PECB examination policies.