This module explores the structure and key components of ISO 42001, focusing on clauses 4 and 5. Learners will gain insights into organizational context, leadership roles, and the differences between AI governance and traditional IT governance. The course also provides a foundation for implementing ethical and effective AI management practices.

This module covers essential strategies for planning and implementing AI systems within enterprises, focusing on risk mitigation, roadmap development, and lifecycle management. Learners will gain practical knowledge on structuring AI deployment and aligning it with organizational goals.

This module provides a comprehensive overview of AI risk assessment and impact evaluation, covering how to identify risks and opportunities, conduct assessments, and develop strategies for risk treatment. Learners will gain practical knowledge on applying ISO 42001 standards to evaluate AI system impacts on stakeholders and organizational goals.

This module explores various threats to AI systems, including automation risks, bias, overfitting, data integrity issues, and adversarial attacks. Learners will understand the challenges and develop strategies to enhance AI system security and reliability.

This module explores strategies for managing AI risks, including threat modeling, ethical use, and ensuring transparency. Learners will gain insights into identifying and mitigating adversarial risks and maintaining accountability in AI systems. It also covers practical approaches to managing unauthorized AI models and ensuring data privacy.

This module focuses on securing AI supply chains and responding to AI-related incidents. It covers procurement controls, algorithmic validation, and crisis communication strategies. Learners will gain practical knowledge to manage AI risks and respond effectively to security threats.

This module explores the essential support requirements for AI Management Systems, covering team structuring, documentation practices, and accountability models. Learners will gain insights into how to effectively manage resources and infrastructure for compliance and operational success. The content provides practical knowledge on implementing and maintaining supportive frameworks for AI systems.

This module covers the operational requirements of ISO 42001, focusing on managing AI activities, model lifecycle management, and ensuring transparency and explainability. It explores real-world applications of AIMS in finance and healthcare, equipping learners with practical knowledge for implementing compliant AI systems.

This module covers techniques for evaluating the performance and compliance of AI management systems under ISO 42001. Learners will gain insights into auditing methods, bias monitoring, and fairness testing practices. It focuses on practical approaches to ensure ethical and effective AI governance.

This module explores continuous improvement practices for AI systems, integrating AI governance with existing management standards, and using dashboards and KPIs to monitor performance and compliance.

This module explores key international AI governance frameworks, including the OECD AI Principles, and how they align with global and national AI regulations. Learners will gain insights into the integration of standards like ISO 42001 with the EU AI Act and NIST AI RMF. The module also covers strategies for aligning AI systems with both local and international regulatory expectations.

This module provides a deep dive into the key controls outlined in ISO 42001 Annex A, focusing on AI system governance, policy alignment, organizational structures, resource allocation, impact assessment, and stakeholder communication. Learners will gain the knowledge to implement and manage AI systems in compliance with international standards.

This module explores the integration of AI across various organizational functions, including cybersecurity, supply chain, auditing, and operational technology. Learners will gain insights into how AI enhances efficiency, risk management, and compliance in these critical areas. The content highlights real-world AI applications and their strategic impact on modern infrastructure.

This module covers the steps to implement and maintain ISO 42001 for AI Management Systems, focusing on achieving certification and ensuring ongoing compliance through continuous improvement strategies.