What you'll learn:
- What is an artificial intelligence management system
- What is responsible AI and why it matters
- Principles of AI governance
- Requirements and guidelines for an AIMS
- Key aspects of ISO/IEC 42001 implementation
- AI controls to consider for responsible AI
ISO/IEC 42001 is the first international standard for an Artificial Intelligence Management System (AIMS). It defines the requirements for establishing, implementing, maintaining and continually improving a management system for the responsible development, provision and use of AI — and it applies to any organization that develops, deploys or uses AI-based products or services, in any industry.
This course gives you a complete, practical understanding of ISO/IEC 42001: what the standard requires, how the AIMS works, and how organizations achieve compliance and certification.
Who this course is for
Professionals preparing for roles in AI governance, AI compliance or AI risk management
Consultants and implementers building an AIMS for their organization or clients
Auditors extending their skills from ISO 9001, ISO/IEC 27001 or other management system standards to ISO/IEC 42001
Managers, developers and data professionals who need to understand what responsible AI means in operational terms.
The requirements of the standard, clause by clause
The course follows the structure of ISO/IEC 42001 and walks you through the requirements in clauses 4 to 10:
Context of the organization
Leadership
Planning
Support
Operation
Performance evaluation
Improvement
A deep dive into all 38 Annex A controls
Each of the 38 controls in Annex A of ISO/IEC 42001 is explained in a dedicated video — what the standard requires and how compliance can be demonstrated in real-world scenarios. The controls are grouped into 9 categories:
Policies related to AI
Internal organization
Resources for AI systems
AI system impact assessment
AI system life cycle
Data for AI systems
Information for interested parties
Use of AI systems
Third-party and customer relationships
Together, these controls cover the full scope of AI governance: data quality and provenance, transparency and explainability, communication with interested parties, and the impact of AI systems on individuals and society.
From theory to practice
You'll learn how to connect the requirements of ISO/IEC 42001 to everyday practice, with detailed examples of how organizations develop, deploy and manage AI systems responsibly. We break down the key components of an AIMS:
AI risk assessments
AI system impact assessments
The Statement of Applicability
AI policies and objectives
Internal audits
Management reviews
Handling nonconformities
Why ISO/IEC 42001 matters for your career
AI regulation and governance frameworks — including the EU AI Act — are making structured AI management a requirement rather than an option. Organizations pursuing ISO/IEC 42001 certification need people who understand the standard, and that demand is growing faster than the supply of qualified professionals.
Enroll today to gain a complete, actionable understanding of ISO/IEC 42001 — and position yourself at the forefront of responsible AI.
This course contains a promotion.
