The LICQual ISO/IEC 42001:2023 – Artificial Intelligence Management System (AIMS) Lead Implementor course is a specialized and advanced training program designed to equip professionals with the knowledge and skills required to lead the implementation of AI governance frameworks in accordance with international standards. As artificial intelligence continues to transform industries, this course offers critical insights into the structured development, deployment, and management of an Artificial Intelligence Management System aligned with ISO/IEC 42001:2023 requirements.
This course provides in-depth understanding of the ISO/IEC 42001:2023 standard, focusing on how organizations can design, implement, maintain, and continually improve an effective Artificial Intelligence Management System. Participants will explore key elements such as AI risk management, ethical guidelines, transparency principles, lifecycle management, and compliance with legal and regulatory obligations. The training emphasizes real-world applications of AIMS in both public and private sector organizations across various industries.
Ideal for IT managers, compliance officers, AI project leads, and quality assurance professionals, this course prepares learners to take on leadership roles in AI governance and compliance. Through practical exercises, detailed case studies, and implementation frameworks, participants will develop the expertise needed to establish and integrate an Artificial Intelligence Management System within their organizational context. The curriculum is designed to bridge the gap between technical AI development and strategic risk-based management.
Upon successful completion, learners will receive an internationally recognized certification, validating their ability to lead and manage the implementation of ISO/IEC 42001:2023-compliant systems. This certification opens up career opportunities in AI governance, digital transformation, and enterprise risk management. More importantly, it demonstrates an organization’s commitment to responsible AI use, transparency, and trust by embedding a robust Artificial Intelligence Management System into its operations.
As AI technologies become increasingly central to business innovation and decision-making, the need for responsible oversight and systemized control grows. The LICQual ISO/IEC 42001:2023 – Artificial Intelligence Management System (AIMS) Lead Implementor course empowers professionals to respond to this demand, ensuring their organizations can harness the benefits of AI while effectively managing associated risks. This course is your gateway to becoming a trusted leader in the governance of emerging 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:
Study Unit 1: 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.
Study Unit 2: 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.
Study Unit 3: 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.
Study Unit 4: 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.
Study Unit 5: 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.
Study Unit 6: 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.
