
An introduction to the course with an overview of the structure and important aspects for a pleasant viewing experience
What is an Artificial Intelligence Management System (AIMS). Similarities and differences between ISO/IEC 42001 and the EU AI Act
Generic aspects about ISO/IEC 42001 and some related standards such as ISO/IEC 22989 and ISO/IEC 38507
The certification process for organizations and for individuals
About the principles of responsible AI
The life cycle model for AI systems proposed by ISO standards. The typical stages of an AI system life cycle
About the internal and external issues that make up the context of the organization
More details on the identification of the context for an organization implementing an AIMS
About stakeholders and their requriements relevant for an organization's AIMS
About the scope of the AIMS, what it should include and how it can be documented
Generic requirements for the establishment, implementation. operation, monitoring and continual improvement of the AIMS
About the critical impact of top management involvement and support for the AIMS. What top management is expected to do to demonstrate leadeship and commitment
About the content of the AI policy and its implementation
Establishing AI-related responsibilities for the persons in the organization
About the process for identifying and recording risks and opportunities relevant for the AIMS
The process for assessing AI risks
More details on how AI risks can be assessed
About the process of treating AI risks
More details about the options and methods to treat AI risks
The process for assessing AI system impacts on individuals, groups and societies
The objectives of the AIMS and the plans of the organization for achieving them
About the process for planning changes to the AIMS
The requirements of ISO/IEC 42001 for determining and providing the necessary resources for the AIMS
The process for ensuring competence for the persons whose activities may impact the AIMS
About the process for raising awareness on the AIMS requirements, the AI policy or the contribution of each individual to the AIMS
About the internal and external communications relevant for AI management
What documents should be part of the AIMS documentation
Controlling documented information to ensure that it is available and protected
Establishing and controlling the processes for the AIMS
Generic requirements for the implementation of the AI risk assessment, risk treatment and the AI system impact assessment
About the processes for monitoring, measuring and evaluating the performance of the organization with regards to AI development and/ or use
The internal audit of the AIMS. Requiements for the process and for auditors
The process for top management to review the AIMS at planned intervals. Input elements and outputs from the management review
Actions and initiatives to improve the AIMS continually
About the process for managing nonconformities and corrective actions
Generic aspects about the AI controls. What they refer to and how they are categorized
About the development and implementation of the AI policy
Aligning other organizational policies with the AI policy
The process for reviewing periodically the AI policy to ensure suitability and adequacy
About the process for allocating responsibilities relevant for AI management
The mechanisms that allows interested parties to report concerns related to the AI systems
Humanity stands at a turning point.
Artificial intelligence is driving a transformation unlike anything we've seen before—offering tremendous potential, but also posing significant risks.
Are we ready for a world where technology becomes this powerful?
For many organizations, the answer is: not yet.
ISO/IEC 42001 is one of the first international standards designed to help organizations navigate this new reality. It sets out the requirements and guidance for establishing an Artificial Intelligence Management System (AIMS), and it's relevant to any entity that develops, provides, or uses AI-based products or services.
What this course offers?
This course provides a practical and comprehensive understanding of ISO/IEC 42001 and the AIMS it proposes. The course follows the structure of the standard and walks you through the requirements in clauses 4 to 10:
Context of the organization
Leadership
Planning
Support
Operation
Performance Evaluation
Improvement
Deep dive into the AI controls
The course also covers in detail the 38 controls from Annex A of the standard. These controls are grouped into 9 key categories:
AI-related policies
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
The Annex A controls touch on all aspects of AI governance—covering data, transparency, third-party communication, and the broader impact of AI systems on individuals and society.
Each control is explained through a dedicated video that describes what the standard requires and how compliance can be achieved in real-world scenarios.
From theory to practice
You’ll learn how to connect ISO/IEC 42001’s requirements to everyday practices. We’ll walk through detailed examples to show how organizations can develop, deploy and manage AI systems responsibly.
We’ll also break down key components of an AIMS, such as:
Risk assessments
AI system impact assessments
The Statement of Applicability
AI policies and objectives
Internal audits
Management reviews
Handling nonconformities
Why this course may be useful to you?
By understanding and applying ISO/IEC 42001, you’ll gain a future-ready skill set, positioning yourself at the forefront of one of the most important shifts of our time. As AI continues to expand, so too will the need for professionals who understand how to govern it responsibly.
Enroll today to gain a complete, actionable understanding of the ISO framework for managing AI responsible—and lead the way in building trust in intelligent systems.
This course contains a promotion.