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Udemy

ISO/IEC 42001. Artificial intelligence management system

via Udemy

Overview

Understand the framework proposed by ISO for managing the development and use of AI in a responsible manner

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

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 AIcontrols

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.

Syllabus

  • Introduction
  • Context of the organization (clause 4 of iSO/IEC 42001)
  • Leadership (clause 5 of ISO/IEC 42001)
  • Planning (clause 6 of ISO/IEC 42001)
  • Support (clause 7 of ISO/IEC 42001)
  • Operation (clause 8 of ISO/IEC 42001)
  • Performance evaluation (clause 9 of ISO/IEC 42001)
  • Improvement (clause 10 of ISO/IEC 42001)
  • Policies related to AI (A.2)
  • Internal organization (A.3)
  • Resources for AI systems (A.4)
  • Assessing impacts of AI systems (A.5)
  • AI system life cycle (A.6)
  • Data for AI systems (A.7)
  • Information for interested parties of AI systems (A.8)
  • Use of AI systems (A.9)
  • Third-party and customer relationships (A.10)
  • Summary and closing remarks

Taught by

Cristian Vlad Lupa, rigcert.education

Reviews

4.6 rating at Udemy based on 515 ratings

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