Artificial Intelligence Management System
The LICQual ISO/IEC 42001:2023 Artificial Intelligence Management System (AIMS) Lead Implementer course is designed for professionals who want to develop advanced knowledge and practical skills in implementing and managing Artificial Intelligence Management Systems. As AI adoption continues to expand across industries, organisations require structured approaches to AI governance, risk management, compliance, and responsible use. This course introduces learners to the ISO/IEC 42001:2023 framework and its role in establishing effective, transparent, and responsible AI management practices.
Learners develop a comprehensive understanding of Artificial Intelligence Management Systems, including strategic planning, operational implementation, governance, risk management, and compliance requirements. The course explores how organisations can develop, deploy, monitor, and maintain AI management processes that support reliability, transparency, accountability, and risk mitigation. Through practical activities, scenario-based exercises, workshops, and real-world case studies, learners gain practical insight into establishing and managing an AIMS aligned with ISO/IEC 42001:2023 requirements while addressing key ethical, security, and sustainability considerations.
On completion of the LICQual ISO/IEC 42001:2023 AIMS Lead Implementer course, learners are equipped to support and lead AI management system implementation within their organisations. The qualification develops capabilities relevant to AI governance, artificial intelligence risk management, compliance, and responsible AI management, while helping professionals align AI initiatives with organisational objectives. It also supports career development for individuals seeking to take on leadership responsibilities in AI management system implementation and the effective governance of AI technologies.
Course Overview
Qualification Title
LICQual ISO/IEC 42001:2023 – Artificial Intelligence Management System (AIMS) Lead Impelementor
Total Units
6
Total Credits
40
GLH
120
Qualification #
LICQ2200428
Qualification Specification
To enroll in the LICQual ISO/IEC 42001:2023 – Artificial Intelligence Management System (AIMS) Lead Impelementor applicants must meet the following criteria:
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200428-1 |
Fundamentals of ISO/IEC 42001:2023 and Artificial Intelligence Management Systems |
8 |
24 |
|
LICQ2200428-2 |
Planning and Establishing the Artificial Intelligence Management System |
8 |
24 |
|
LICQ2200428-3 |
Implementation and Operation of AIMS |
6 |
18 |
|
LICQ2200428-4 |
Performance Evaluation and Monitoring |
6 |
18 |
|
LICQ2200428-5 |
Leadership and Communication in AI Management System Implementation |
6 |
18 |
|
LICQ2200428-6 |
Preparing for ISO/IEC 42001:2023 Certification and Beyond |
6 |
18 |
By the end of this course, learners will be able to:
Fundamentals of ISO/IEC 42001:2023 and Artificial Intelligence Management Systems
- Explain the key principles and structure of the ISO/IEC 42001:2023 standard.
- Describe the fundamental concepts and importance of Artificial Intelligence Management Systems (AIMS).
- Analyze the role of AI governance, ethics, and regulatory requirements in organizational contexts.
- Assess how AIMS contributes to effective risk management and strategic decision-making.
Planning and Establishing the Artificial Intelligence Management System
- Identify the essential steps for defining the scope and context of an AIMS.
- Conduct stakeholder analysis and integrate their requirements into AI management planning.
- Perform risk assessments and opportunity evaluations related to AI implementations.
- Develop AI policies, objectives, and frameworks that comply with ISO/IEC 42001:2023.
Implementation and Operation of AIMS
- Implement processes to manage the entire AI lifecycle in alignment with the standard.
- Apply risk controls and data security measures specific to AI systems.
- Coordinate AI system development, deployment, and ongoing operation effectively.
- Facilitate training programs to ensure competence and awareness among AI stakeholders.
Performance Evaluation and Monitoring
- Define key performance indicators to measure the effectiveness of AIMS.
- Conduct internal audits and management reviews to evaluate compliance and performance.
- Use monitoring and measurement tools to identify nonconformities and areas for improvement.
- Develop and implement corrective actions to support continual improvement of the AI management system.
Leadership and Communication in AI Management System Implementation
- Demonstrate leadership skills required to guide AI management system implementation teams.
- Manage stakeholder communication and foster collaboration across functions.
- Apply change management techniques to support organizational adoption of AIMS.
- Prepare and maintain accurate documentation and reports for transparency and accountability.
Preparing for ISO/IEC 42001:2023 Certification and Beyond
- Outline the certification process for ISO/IEC 42001:2023 and prepare for audits.
- Identify common challenges in certification and apply best practices to overcome them.
- Develop strategies for maintaining compliance and managing post-certification activities.
- Evaluate future trends and emerging standards to sustain AI management system relevance.
This diploma is ideal for:
- Professionals aiming to lead the implementation of Artificial Intelligence Management Systems (AIMS) in their organizations.
- AI project managers and team leaders responsible for AI governance and compliance.
- IT managers and system auditors seeking to deepen their understanding of ISO/IEC 42001:2023 standards.
- Quality assurance and risk management specialists involved in AI-related processes.
- Consultants and advisors helping organizations adopt and certify AI management systems.
- Compliance officers and regulatory professionals focusing on ethical AI deployment.
- Technology professionals looking to enhance skills in AI system lifecycle management and security.
- Executives and decision-makers interested in aligning AI initiatives with international standards.
Assessment and Verification
All units within this qualification are subject to internal assessment by the approved centre and external verification by LICQual. The qualification follows a criterion-referenced assessment approach, ensuring that applicants meet all specified learning outcomes.
To achieve a ‘Pass’ in any unit, applicants must provide valid, sufficient, and authentic evidence demonstrating their attainment of all learning outcomes and compliance with the prescribed assessment criteria. The Assessor is responsible for evaluating the evidence and determining whether the applicants has successfully met the required standards.
Assessors must maintain a clear and comprehensive audit trail, documenting the basis for their assessment decisions to ensure transparency, consistency, and compliance with quality assurance requirements.