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Section 1: AI Governance Foundations

The Use of AI in Organizations

How AI Basically Works?

What Is AI Governance?

The Impact of Non-Compliance on Businesses

The AI Governance and Regulatory Frameworks

What Is ISO 42001?

The PDCA Cycle and Continual Improvement

Section 2: Security and Resilience in AI Systems

Security Threats Specific to AI Systems

AI Resilience and Defense Strategies

AI Governance Trifecta

ISO Standards and Information Security

Special Considerations in ISO 42001

Section 3: The PDCA Cycle in ISO 42001

The PDCA Cycle and ISO 42001

The "Plan" Part of the PDCA Cycle

Requirements Regarding the Leadership Role

Requirements Regarding the Planning

Determining Resources for AI Systems

The "Do" Part

The "Check" Part of the PDCA Cycle

The "Act" Part of the PDCA Cycle

Section 4: Implementing ISO 42001

Understanding the Scope of ISO 42001

Implementing ISO 42001 - A Structured Approach

How Is Implementing ISO 42001 Beneficial?

Leadership and Commitment in AI Governance

Risk Assessment and Risk Treatment

Section 5: Operational Readiness and Governance Pillars

ISO/IEC 42001: The Evidence-Oriented Mindset

Operational Readiness Checklist for an AIMS

The Governance Pillars of ISO/IEC 42001

Annex A Control Themes Explained

Section 6: Knowledge Checks

Questions 1 - 4

Questions 5 - 11

Questions 12 - 24

Questions 25 - 32

Questions 33 - 36

Section 7: Post-Course Survey

Course Feedback Survey

Badge Card

The Standard of Excellence - Validate, verify, and certify.

$ (USD)

Artificial Intelligence is revolutionizing the modern business landscape, but with great power comes the critical need for robust governance, security, and compliance. Welcome to the 'ISO/IEC 42001 Lead Implementer: Mastering AI Management Systems' course, your comprehensive guide to establishing, implementing, and maintaining a secure AI environment. As organizations increasingly adopt AI technologies, the demand for certified professionals who can navigate complex regulatory frameworks and mitigate AI-specific risks is skyrocketing. This course is meticulously designed to transform you into an AI governance expert, leveraging the globally recognized ISO/IEC 42001 standard. Throughout this training, you will dive deep into the foundational concepts of AI operations, explore the critical impacts of non-compliance, and master the Plan-Do-Check-Act (PDCA) cycle tailored specifically for Artificial Intelligence Management Systems (AIMS). You will learn how to identify unique security threats targeting machine learning models, build operational resilience, and apply the AI Governance Trifecta. From understanding the strict scope of ISO 42001 to executing risk assessments and utilizing operational readiness checklists, this course provides a structured, beginner-friendly approach to complex compliance requirements. Whether you are an IT leader, a compliance officer, or a risk management professional, this course equips you with the evidence-oriented mindset and practical tools required to lead your organization toward ISO/IEC 42001 certification, ensuring responsible, ethical, and secure AI deployment.

ISO/IEC 42001 Lead Implementer

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            <p>Artificial Intelligence has rapidly transitioned from a niche technological advancement to a core driver of organizational innovation and efficiency. However, the rapid adoption of AI brings significant challenges, including ethical dilemmas, security vulnerabilities, and complex regulatory requirements. This course provides a comprehensive exploration of AI governance, focusing on the ISO/IEC 42001 standard. Participants will examine the foundational mechanics of AI, the critical necessity of governance frameworks, and the severe operational and reputational risks associated with non-compliance. By establishing a robust Artificial Intelligence Management System (AIMS), organizations can not only mitigate these risks but also enhance stakeholder trust and secure a competitive advantage in an increasingly automated marketplace.</p>

<p>Throughout this training, learners will master the practical application of the Plan-Do-Check-Act (PDCA) cycle specifically tailored for AI environments. The curriculum delves into the "AI Governance Trifecta," addressing security threats unique to machine learning and strategies for building resilient systems. From defining the scope of implementation and securing leadership commitment to conducting rigorous risk assessments and utilizing operational readiness checklists, this course offers a structured, evidence-oriented approach. By the conclusion of the program, aspiring Lead Implementers will be equipped with the knowledge to navigate Annex A control themes and uphold the governance pillars necessary for a responsible and ethical AI ecosystem.</p>
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