ISO 42001 Lead Implementer Training Course in Portsmouth

ISO 42001 Lead Implementer Training Course Outline

Module 1: Fundamentals of ISO 42001

• Purpose and Benefits of an Artificial Intelligence Management System
• Scope and Application of ISO 42001
• AI Concepts, Principles and Terminology
• Responsible Development, Provision and Use of AI Systems
• AI System Lifecycle
• Relationship with Other Management Systems

Module 2: Organisational Context and AI Governance

• Understanding the Organisation and Its Environment
• Identifying Interested Parties and Their Requirements
• Determining the AIMS Scope
• Establishing AIMS Processes
• Leadership and Commitment
• AI Policy
• Roles, Responsibilities and Authorities

Module 3: AIMS Planning, Support and Operation

• Risks and Opportunities
• AI Risk Assessment and Treatment
• AI Objectives and Plans
• Resources, Competence and Awareness
• Communication and Documented Information
• Operational Planning and Control
• Management of Organisational and Technological Changes

Module 4: Performance Evaluation and Improvement

• Monitoring, Measurement, Analysis and Evaluation
• Internal Audit Requirements
• Management Review
• Nonconformity and Corrective Action
• Continual Improvement
• Maintaining AIMS Effectiveness
• Foundation-Level Knowledge Assessment

Module 5: Internal Audit Principles

• Purpose of an AIMS Internal Audit
• Audit Principles Based on ISO 19011:2026
• Integrity, Confidentiality and Independence
• Evidence-Based and Risk-Based Auditing
• Auditor Competence and Professional Judgement
• Roles and Responsibilities of Internal Auditors
• Maintaining Objectivity During Audits

Module 6: Planning an Internal AIMS Audit

• Establishing an Internal Audit Programme
• Defining Audit Objectives, Scope and Criteria
• Reviewing AIMS Documented Information
• Identifying Significant AI Risks and Processes
• Preparing an Audit Plan
• Developing Audit Checklists and Trails
• Selecting Representative Samples

Module 7: Conducting the Internal Audit

• Conducting Opening Meetings
• Interviewing Responsible Personnel
• Observing AI-Related Activities
• Reviewing Policies, Procedures and Records
• Evaluating AI Risk Management Processes
• Reviewing AI System Impact Assessments
• Collecting and Verifying Audit Evidence

Module 8: Internal Audit Reporting and Follow-Up

• Evaluating Evidence Against Audit Criteria
• Identifying Conformity and Nonconformity
• Drafting Clear Audit Findings
• Preparing the Internal Audit Report
• Conducting the Closing Meeting
• Reviewing Corrective Action Plans
• Verifying Corrective Action Effectiveness

Module 9: Initiating and Planning AIMS Implementation

• Establishing the Organisational Need for an AIMS
• Conducting an Initial Gap Assessment
• Defining the AIMS Scope and Objectives
• Establishing the Implementation Team
• Assigning Roles and Responsibilities
• Developing an Implementation Roadmap
• Allocating Resources and Setting Milestones

Module 10: Establishing AIMS Processes and Documentation

• Developing the AI Policy
• Establishing AI Governance Arrangements
• Designing Required AIMS Processes
• Developing Documented Information
• Establishing Communication Mechanisms
• Managing Organisational and Technological Changes
• Integrating AIMS Processes with Existing Operations

Module 11: Implementing AI Risk, Impact and Lifecycle Management

• Developing an AI Risk Management Methodology
• Identifying, Analysing and Evaluating AI Risks
• Selecting and Implementing Risk Treatment Measures
• Conducting AI System Impact Assessments
• Applying ISO 42005:2025 Guidance
• Managing AI System Design, Development and Deployment
• Establishing Operation, Monitoring and Retirement Controls

Module 12: Implementing Data and Third-Party Controls

• Establishing AI Data Requirements
• Managing Data Quality and Provenance
• Managing Training, Validation and Test Data
• Verifying and Validating AI Systems
• Establishing Human Oversight
• Managing AI Suppliers and Service Providers
• Allocating Responsibilities Across Third-Party Relationships

Module 13: Evaluating and Improving the AIMS

• Establishing Performance Indicators
• Monitoring and Measuring AIMS Performance
• Evaluating Control Effectiveness
• Conducting Internal Audits
• Completing Management Reviews
• Managing Nonconformities and Corrective Actions
• Preparing the Organisation for Certification Assessment

Who Should Attend this ISO 42001 Lead Implementer Training Course?

The ISO 42001 Lead Implementer Training course is particularly well-suited for professionals who are involved in the design, implementation, management, or auditing of Artificial Intelligence systems within their organisations. It is highly beneficial for:

• AI System Managers
• Compliance and Ethics Officers
• IT Security Professionals
• Risk Management Specialists
• Quality Assurance Managers
• AI Project Managers
• Senior IT Managers
• AI Researchers and Developers

Prerequisites of ISO 42001 Lead Implementer Training Course

There are no formal prerequisites to attend this ISO 42001 Lead Implementer Training Course.

ISO 42001 Lead Implementer Training Course Overview

ISO/IEC 42001 is a standard that provides guidelines for implementing and managing artificial intelligence (AI) systems within organisations. Its importance lies in establishing a globally recognised framework that ensures the responsible, ethical, and effective use of AI technologies. For organisations, this training enhances compliance and operational efficiency while promoting a deeper understanding of AI's potential risks and benefits. Individuals benefit from gaining specialised knowledge that enhances their skillset in managing AI systems according to international standards. Finally, for delegates, achieving ISO 42001 Lead Implementer Certification opens up advanced career opportunities in AI management and governance, setting them apart in a rapidly evolving technological landscape.

In this comprehensive ISO 42001 Lead Implementer Certification course, delegates will learn how to navigate the complexities of AI management systems. The curriculum covers everything from the fundamental concepts and principles of artificial intelligence to the specific requirements of the ISO/IEC 42001 standard, including ethical considerations, audit methodologies, and risk-based auditing strategies.

Course Objectives

• To understand ISO/IEC 42001's structure and intent
• To apply AI management system standards effectively
• To conduct and manage ISO-compliant AI audits
• To assess AI risks and implement mitigation strategies
• To enhance AI system integration with business processes
• To prepare for and lead ISO/IEC 42001 certification audits

After attending this training, delegates will be equipped with the skills necessary to effectively implement and manage AI systems according to the ISO/IEC 42001 standard. They will be able to conduct thorough audits, assess compliance with the standard, and identify areas for improvement within AI implementations. Delegates will also gain the ability to guide their organisations in achieving and maintaining ISO/IEC 42001 certification, thereby enhancing the reliability and security of AI applications.

What’s included in this ISO 42001 Lead Implementer Training Course?

• ISO 42001 Lead Implementer Examination
• World-Class Training Sessions from Experienced Instructors
• ISO 42001 Lead Implementer Training Certificate
• Digital Delegate Pack

ISO 42001 Lead Implementer Training Course Exam Information

To achieve the ISO 42001 Lead Implementer Training Course, candidates will need to sit for an examination. The exam format is as follows: 

• Question Type: Multiple Choice 
• Total Questions: 30 
• Total Marks: 30 Marks 
• Pass Mark: 50%, or 15/30 Marks 
• Duration: 40 Minutes  
• Open Book/ Closed Book: Closed Book