Iso/Iec 42001: Artificial Intelligence Management System

Master AI Governance with ISO/IEC 42001: Artificial Intelligence Management System Certification

What you'll learn

Implement the ISO/IEC 42001 AI Management System framework.

Identify and mitigate AI-related risks effectively.

Develop AI governance strategies aligned with global standards.

Conduct audits to ensure compliance with AI management protocols.

Requirements

Basic understanding of artificial intelligence concepts.

No prior experience with ISO standards required.

Interest in AI governance, compliance, and risk management.

Description

ISO/IEC 42001: Artificial Intelligence Management System is a comprehensive course designed for professionals looking to implement and manage AI systems effectively within their organizations. This course covers the essential framework of ISO/IEC 42001, the international standard for Artificial Intelligence Management Systems (AIMS), ensuring organizations can leverage AI technologies responsibly and efficiently.By the end of this course, you'll gain a thorough understanding of how to align AI initiatives with ISO/IEC 42001 standards, enabling compliance, improving operational efficiency, and managing AI risks. The course explores key topics such as AI governance, risk management, data privacy, ethical AI principles, and the importance of transparency and accountability in AI deployments.Ideal for IT managers, AI developers, data scientists, compliance officers, and decision-makers, this course equips you with the knowledge needed to implement AI systems that meet the highest industry standards. Learn step-by-step processes for auditing, assessing, and improving AI strategies while staying compliant with ISO/IEC 42001 requirements.With practical examples and actionable insights, this course empowers professionals to create robust AI management frameworks. Stay ahead in the evolving AI landscape by mastering the critical elements of ISO/IEC 42001. Enroll today to ensure your organization thrives in the age of AI by adopting best practices in AI management.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Structure of ISO-IEC 42001

Lecture 3 Our Use Case - AI-Driven Healthcare Solutions (AIHS)

Section 2: Clause 4 - Context of the Organization

Lecture 4 Clause 4 - Context of the Organization

Lecture 5 Identifying Internal and External Issues at AIHS

Lecture 6 Understanding Stakeholders

Lecture 7 Determining the Scope of the AIMS

Section 3: Clause 5 - Leadership and Commitment

Lecture 8 Clause 5 - Leadership and Commitment

Lecture 9 Establishing AI Policies and Objectives

Lecture 10 Creating an AI Ethics Committee

Section 4: Clause 6 - Planning

Lecture 11 Clause 6 - Planning

Lecture 12 Risk Management and Assessment

Lecture 13 AI System Lifecycle Management

Lecture 14 Developing AI Strategies and Roadmaps

Section 5: Clause 7 - Support

Lecture 15 Clause 7 - Support

Lecture 16 Required Resources

Section 6: Clause 8 - Operation

Lecture 17 Clause 8 - Operation

Lecture 18 AI Development and Data Management

Lecture 19 Testing and Deployment

Section 7: Clause 9 - Performance Evaluation

Lecture 20 Clause 9 - Performance Evaluation

Lecture 21 Key Performance Indicators (KPIs) for AI Systems

Lecture 22 Monitoring and Measuring AI Performance

Lecture 23 Corrective Actions and Preventive Actions

Section 8: Clause 10 - Improvement

Lecture 24 Clause 10 - Improvement

Lecture 25 Internal and External Audits

Lecture 26 Management Review

Lecture 27 Conclusion

IT managers and AI developers seeking AI management skills.,Compliance officers interested in AI governance.,Business leaders looking to implement AI responsibly.,Data scientists aiming to integrate AI within global standards.