ISO42001 Lead Implementer

Course details

TRECCERT AI Management System ISO/IEC 42001 Lead Implementer is an expert-level course developed to equip trainees with a practical understanding of the AIMS implementation approach based on the requirements of the ISO/IEC 42001 standard.

The training course provides a comprehensive overview of the AIMS implementation based on the Plan-Do-Check-Act model and related concepts, processes, methods, and techniques.

Learning Objectives:

• Know and understand artificial intelligence management fundamental concepts, standards, best practices and laws/ regulations.
• Know and understand ISO/IEC 42001 requirements, and describe their function and operation.
• Know, understand and be able to define a framework for implementing a AI Management System (AIMS) within an organisation.
• Know, understand and be able to interpret ISO/IEC 42001 controls and implement the AIMS based on the defined framework.
• Know, understand and be able to support the implementation team to continually improve the implemented management system.

COURSE OUTLINE

1. Introduction to AIMS

• Introduction to AI
• AI Management System Overview
• AI Governance Frameworks and Best Practices

2. ISO/IEC 42001 Requirements

• Context of the Organization
• Leadership
• Planning
• Support
• Operation
• Performance Evaluation
• Improvement

3. AI Controls

• Policies Related to AI
• Internal Organisation
• Resources for AI Systems
• Assessing Impacts of AI systems
• AI System Life Cycle
• Data for AI Systems
• Information for Interested Parties of AI Systems
• Use of AI Systems
• Third Party Relationships

4. AIMS Initiation

• Develop the Project Charter
• Ensure Management Commitment
• Identify the Interested Parties
• Conduct a Gap Analysis
• Prepare the PDCA Cycle

5. Establishment Phase

• Establish the Context of the Organization
• Define the AIMS Scope
• Establish the Objectives, Processes, and Procedures
• Establish the AIMS Policy
• Define the Risk Assessment Approach
• Create the AIMS Implementation Plan
• Management Authorization to Implement and
• Operate the AIMS

6. Implementation and Operation Phase

• AI Risk Management
• Implement the AI Management Policies and Procedures
• Manage AIMS Operations
• Awareness and Training
• Resource Management and Documented Information

7. Monitor and Review Phase

• Monitor the AIMS
• Conduct Internal Audits
• Review the AIMS

8. Maintenance and Improvement Phase

• Implement the Identified Improvements
• Corrective and Preventive Actions
• Communicate the Actions and Improvements
• Ensure Continual Improvement of AIMS

Updated on 03 August, 2025