Free Download ISO 42001 - Artificial Intelligence Management System (AIMS)
Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 53m | Size: 3.41 GB
Your Comprehensive And Practical Guide to AI Governance, Risk, and Certification Readiness.
What you'll learn
Explain the purpose, scope, and structure of ISO/IEC 42001 and its role in responsible AI governance.
Interpret the key principles of AI management, ethics, transparency, accountability, and risk-based thinking.
Identify organizational context, stakeholders, and AI-related obligations relevant to an AI Management System (AIMS).
Design and document an AI governance framework aligned with ISO/IEC 42001 requirements.
Define roles, responsibilities, and accountability mechanisms for AI oversight and decision-making.
Apply a risk-based approach to identify, analyze, evaluate, and treat AI-related risks.
Select and implement appropriate AI risk controls across the AI system lifecycle.
Integrate AIMS requirements into existing management systems and corporate governance structures.
Establish competence, awareness, communication, and documented information controls for AIMS.
Conduct internal audits and management reviews for ISO/IEC 42001.
Requirements
Business Basic Knowledge.
AI Tools Basic Knowledge.
Description
ISO/IEC 42001 is the first international standard dedicated to Artificial Intelligence Management Systems (AIMS), providing organizations with a structured framework to govern AI responsibly, ethically, and in compliance with regulatory and business expectations. As AI systems increasingly influence decisions making, operations, businesses, and society, effective governance and risk management have become essential.This course provides a comprehensive and practical understanding of ISO/IEC 42001, guiding participants through the principles, requirements, and implementation of an AI Management System. Learners will also explore AI governance structures, roles and responsibilities, ethical principles, transparency, accountability, and lifecycle management of AI systems AIMS. The course emphasizes a risk-based approach, covering AI risk identification, analysis, evaluation, treatment, and control selection.Participants will also learn how to integrate ISO/IEC 42001 with existing management systems, align AIMS with organizational strategy, and support compliance with emerging regulations such as the EU AI Act. Practical tools, templates, case studies, and real-world examples are used throughout the course to bridge theory and practice.By the end of this comprehensive and practical course, learners will be equipped to design, implement, maintain, audit, and continuously improve an AI Management System, and to confidently support organizational readiness for ISO/IEC 42001 certification and responsible AI adoption.
Who this course is for
AI governance, compliance, risk, and ethics professionals.
Managers, team leaders, and decision-makers responsible for AI strategy.
Risk management, enterprise risk, internal audit, and compliance professionals.
IT, data, AI, and digital transformation professionals.
Quality, information security, and management system professionals.
Consultants and advisors supporting organizations in AI governance.
Legal, regulatory, and policy professionals working on AI compliance.
Executives and business owners who need a practical understanding of AI governance.
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