ISO 42001 – Artificial Intelligence Management Systems Practitioner eLearning Online PDU Course

Training Summary

Learn ISO 42001 – Artificial Intelligence Management Practitioner is a training program designed for professionals responsible for adopting and operationalizing AI Management Systems in their organizations.

The training program provides comprehensive practical knowledge to implement ISO 42001:2023, covering governance, ethical AI principles, risk management, operational controls, audit readiness, and continual improvement.

A specialized module on ISO/IEC 42005 equips training participants to perform structured AI Impact Assessments, enabling them to identify and mitigate potential ethical, societal, and safety impacts of AI systems.

Training Objectives

1. Understand the ISO/IEC 42001:2023 Standard
2. Design and implement an AI Management System (AIMS)
3. Apply AI Governance and Risk Management Principles
4. Develop and Manage AIMS Documentation
5. Prepare for and Conduct Internal Audits
6. Demonstrate Certification Readiness
7. Integrate AIMS with Broader Business Systems

 Key Training Takeaways

1. Clear understanding of the ISO/IEC 42001:2023 structure, purpose, and implementation roadmap for an AI Management System (AIMS).
2. Ability to define the scope, objectives, and policies of AIMS tailored to your organizational context.
3. Skills to identify, assess, and treat AI-specific risks, including bias, discrimination, privacy, and explainability.
4. Proficiency in mapping and implementing Annex A controls aligned to AI lifecycle governance.
5. Knowledge to develop and maintain AIMS documentation, including procedures, SoA, records, and templates.
6. Readiness to lead ISO 42001 certification initiatives, including Stage 1 & 2 audit preparation.
7. Awareness of how to integrate AIMS with existing systems (e.g., ISO 27001, 9001, ESG, digital transformation).

Who should attend?

1. AI Management & Governance Leaders
2. Compliance, Risk & Ethics Professionals
3. Information Security & IT Governance Professionals
4. Data & AI Product Teams
5. Audit & Assurance Professionals
6. Legal, Policy, and Digital Transformation Teams
7. Anyone Tasked with ISO 42001 Implementation

 Prerequisites (Optional but Beneficial)

1. Basic understanding of AI systems and data lifecycle
2. Familiarity with ISO management system standards (e.g., ISO 27001, ISO 9001, ISO 37301)
3. Experience in compliance, risk management, or technology governance

 Training Handouts

1. Training program handouts
2. Sample policies
3. Sample templates & checklists

NOTE

To reinforce learning & assess understanding, a multiple-choice quiz is conducted at the end of the training program. This ensures key concepts are retained & participants leave with greater confidence & clarity.

Training Syllabus

Foundations of AIMS & Initiation

Module 1: Introduction to AIMS & ISO 42001 Fundamentals

1. What is AI – Definition & Overview
2. Understanding the AI Lifecycle
3. Structure & Components of ISO 42001 AIMS Standard

Module 2: Implementing Clause 4 Context of the Organization

1. Clause 4 Objectives
2. Implementing Clause 4 & its Sub-Clauses
3. Critical Activities for Clause 4 Implementation
4. Critical Stakeholders involved in Implementation
5. Documents & Artifacts required for Clause 4 Implementation
6. Implementation Risks & a possible Mitigation Strategy
7. Summary

Module 3: Implementing Clause 5 Leadership

1. Clause 5 Objectives
2. Implementing Clause 5 & its Sub-Clauses
3. Critical Activities for Implementation
4. Critical Stakeholders involved in Implementation
5. Documents & Artifacts required for Implementation
6. Implementation Risks & a possible Mitigation Strategy
7. Summary

Module 4: Implementing Clause 6 Planning 

1. Clause 6 Objectives
2. Implementing Clause 6 & its Sub-Clauses
3. Critical Activities for Implementation
4. Critical Stakeholders involved in Implementation
5. Documents & Artifacts required for Implementation
6. Implementation Risks & a possible Mitigation Strategy
7. Summary

Module 5: Implementing Clause 7 Support

1. Clause 7 Objectives
2. Implementing Clause 7 & its Sub-Clauses
3. Critical Activities for Implementation
4. Critical Stakeholders involved in Implementation
5. Documents & Artifacts required for Implementation
6. Implementation Risks & a possible Mitigation Strategy
7. Summary

Module 6: Implementing Clause 8 Operation 

1. Clause 8 Objectives
2. Implementing Clause 8 & its Sub-Clauses
3. Critical Activities for Implementation
4. Critical Stakeholders involved in Implementation
5. Documents & Artifacts required for Implementation
6. Implementation Risks & a possible Mitigation Strategy
7. Summary

Module 7: Implementing Clause 9 Performance Evaluation8 Operation

1. Clause 9 Objectives
2. Implementing Clause 9 & its Sub-Clauses
3. What to Monitor and Measure (Across Industries)?
4. Tools and Techniques for Monitoring and Measurement
5. Documentation and Reporting
6. Valid Methods and Tools for Monitoring, Measurement, Analysis and Evaluation
7. Valid methods to Ensure Reliable Results
8. Tools & Techniques for Monitoring & Analysis
9. AI-Specific Model Validation & Auditing Methods
10. Documentation & Review
11. When Should Monitoring and Measuring Be Performed?
12. When Should the Results be Analyzed & Evaluated?
13. Documented Information as Evidence of Results
14. Key Types of Documented Information to Retain
15. Evaluating the Performance and Effectiveness of the AIMS
16. How to Evaluate Performance and Effectiveness of AIMS
17. Management Review Inputs
18. Management Review Results: Required Outputs
19. Management Review Results: Required Documentation

Module 8: Implementing Clause 10 Improvement 

1. Clause 10 Objectives
2. Implementing Clause 10 & its Sub-Clauses
3. Documents & Artifacts required for Implementation
4. Summary

Summary

1. ISO 42001 AIMS Implementation Steps
2. Things to Remember while implementing the AIMS standard
3. Reference Note