Mastering Iso 42001: Complete Guide To Ai Management Systems

Learn how to implement and audit AI Management Systems with confidence

What you'll learn

Understand the structure, purpose, and key requirements of ISO 42001:2023 – the first international standard for AI Management Systems

Learn how to design and implement an AI Management System (AIMS) aligned with ISO 42001 across different organizational contexts

Identify and assess AI-related risks, compliance needs, and governance controls through real-world examples and case studies

Prepare for ISO 42001 certification audits and learn how to continuously improve your AIMS for long-term success

Requirements

No prior knowledge of ISO 42001 is required – this course starts from the basics

A general understanding of AI systems, governance, or risk management is helpful but not mandatory

Description

This course contains the use of artificial intelligence.Are you ready to lead the way in responsible AI governance?As artificial intelligence becomes deeply embedded in our everyday lives and business operations, organizations need robust frameworks to manage the associated risks, ensure ethical use, and meet growing regulatory expectations. ISO 42001:2023 is the world’s first international standard for Artificial Intelligence Management Systems (AIMS), offering a structured approach to govern AI technologies across sectors.This comprehensive course is designed to help professionals understand and apply ISO 42001 principles in real-world settings. You’ll learn how to build, implement, and sustain an AI Management System aligned with the standard — whether you're starting from scratch or enhancing existing governance frameworks. The course walks you through the structure of the standard, core requirements, AI-specific risks, and control objectives, all enriched with practical examples, case studies, and templates.Whether you're an AI practitioner, IT professional, auditor, or compliance officer, this course will give you the knowledge and tools to:Understand the context and intent of ISO 42001 and why it matters in today’s AI landscapeTranslate AI governance principles into actionable management system controlsIdentify and address AI-specific risks related to bias, transparency, safety, and accountabilityPrepare your organization for an ISO 42001 certification audit with confidenceEmbed continuous improvement into your AI lifecycle management and governance programsYou don’t need to be an ISO expert to benefit from this course. We’ll guide you step-by-step through the standard and show you how it connects with existing frameworks like ISO 27001, ISO 9001, and emerging AI regulations (e.g., EU AI Act).By the end of this course, you'll be equipped not only with technical know-how but also the strategic insight needed to position your organization as a trustworthy and responsible user of AI.Take the lead in AI governance. Start your ISO 42001 journey today.

Overview

Section 1: Introduction

Lecture 1 Introduction to the Course

Section 2: Introduction to AI Governance and Standards

Lecture 2 AI Landscape and Governance Challenges

Lecture 3 Introduction to ISO 42001

Lecture 4 Overview of AI-Related ISO Standards

Section 3: Understanding ISO 42001 Structure and Requirements

Lecture 5 High-Level Structure (HLS) Alignment

Lecture 6 Context of the Organization

Lecture 7 Leadership and Commitment (Clause 5)

Lecture 8 Planning (Clause 6)

Section 4: AI Policies and Internal Organization

Lecture 9 AI Policy Framework

Lecture 10 Organizational Structure for AI

Lecture 11 Competence and Awareness

Section 5: Resource Management and Impact Assessments

Lecture 12 Resource Management

Lecture 13 AI Impact Assessments

Lecture 14 Risk Management Integration

Section 6: AI System Lifecycle Management

Lecture 15 Lifecycle Overview

Lecture 16 Planning and Design Phase

Lecture 17 Development and Testing

Lecture 18 Deployment and Operations

Lecture 19 Retirement and Disposal

Section 7: Data Management for AI Systems

Lecture 20 Data Governance Framework

Lecture 21 Data Lifecycle Management

Lecture 22 Data Quality and Integrity

Lecture 23 Compliance and Legal Considerations

Section 8: Information for Stakeholders and Communication

Lecture 24 Stakeholder Identification and Analysis

Lecture 25 Transparency and Explainability

Lecture 26 Reporting and Documentation

Section 9: AI System Usage and Operations

Lecture 27 Operational Management

Lecture 28 Monitoring and Measurement

Lecture 29 Incident Management

Section 10: Third-Party Relationships and Supply Chain

Lecture 30 Third-Party Risk Management

Lecture 31 Supply Chain Governance

Lecture 32 Outsourcing and Cloud Services

Section 11: ISO 42001 Annex A - Control Objectives and Controls

Lecture 33 AI Policy Controls (A.5)

Lecture 34 Organizational Controls (A.6)

Lecture 35 Human Resources Controls (A.7)

Lecture 36 AI System Lifecycle Controls (A.8)

Lecture 37 AI System Supply Chain Controls (A.9)

Lecture 38 AI System Operation Controls (A.10)

Lecture 39 AI System Access Controls (A.11)

AI governance professionals, risk managers, and compliance officers looking to align with ISO 42001,IT and cybersecurity professionals responsible for managing AI systems or implementing governance frameworks,Consultants and auditors supporting organizations with ISO implementations or AI risk management,Data scientists, AI/ML engineers, and product owners seeking to build responsible and trustworthy AI