[MULTI] Iso/iec 42001. Artificial Intelligence Management System By Cristian Vlad Lupa, Rigcert.E.

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Iso/iec 42001. Artificial Intelligence Management System By Cristian Vlad Lupa, Rigcert.Education
Published 5/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 8h 19m | Size: 8.75 GB
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
Requirements
No prior experience is required, but familiarity with ISO management system standards is helpful
Description
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 organizationLeadershipPlanningSupportOperationPerformance EvaluationImprovementDeep dive into the AI controlsThe course also covers in detail the 38 controls from Annex A of the standard. These controls are grouped into 9 key categories:AI-related policiesInternal organizationResources for AI systemsAI system impact assessmentAI system life cycleData for AI systemsInformation for interested partiesUse of AI systemsThird-party and customer relationshipsThe 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 practiceYou'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 assessmentsAI system impact assessmentsThe Statement of ApplicabilityAI policies and objectivesInternal auditsManagement reviewsHandling nonconformitiesWhy 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.
Who this course is for
Individuals tasked with AI development and implementation projects
Managers responsible for overseeing AI projects
Professionals interested in AI management systems implementation and audit
Consultants advising on AI projects
Managers and executives interested in learning about responsible AI

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