ISO 42001 AIMS Foundation Training – Overview
The ISO 42001 Foundation Training introduces the core principles and best practices for establishing and managing an Artificial Intelligence Management System (AIMS). This program provides a solid grounding in the standard’s structure and objectives, preparing participants to contribute effectively to AI strategy, governance, and compliance.
The training equips learners with both conceptual knowledge and operational insights, enabling them to design, implement, or audit an AI management system aligned with ISO 42001. It is an ideal starting point for professionals aiming to specialize in AI governance, risk management, and regulatory compliance.
Learning Objectives
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Learn fundamental concepts of AI governance and the purpose of an AIMS
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Understand the ISO/IEC 42001 standard requirements for establishing, operating, and improving an AI management system
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Explore practical implementation techniques, including risk assessment, AI impact analysis, and control selection
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Gain insight into integrating AI risk management and regulatory requirements into organizational processes to ensure responsible AI use
Key Training Take aways
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Understanding of ISO/IEC 42001 and its purpose
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Core concepts of an AI Management System (AIMS)
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Governance, roles, and responsibilities for AI
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Risk and opportunity management for AI initiatives
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AI lifecycle management and operational controls
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Cross-functional relevance and practical applications
Who Should Attend
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AI developers, data scientists, and product managers
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Risk managers, compliance/legal officers, internal auditors
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Senior management, board members, and strategic decision-makers
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Technical staff involved in AI systems and operations
Syllabus
Module 1 – Building a Case for AI Governance
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What is AI? AI systems and lifecycle stages
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Bias, explainability, ethical risks, fairness, and adversarial attacks
Module 2 – Real-World AI Systems (Case Scenarios)
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AI chatbots and recommendation systems in retail
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AI hiring tools and algorithmic bias
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Image-recognition AI failures
Module 3 – Why ISO 42001 Matters to AI Practitioners
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Overview of ISO 42001 and its role in the AI ecosystem
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AI risk management lifecycle
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Ethical, legal, and technical considerations
Module 4 – Core Requirements of ISO 42001
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Clause 4–10: AIMS context, governance, risk assessment, operational controls, audits, monitoring, KPIs, nonconformity handling, and improvement
Module 5 – Operationalizing ISO 42001
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Implementation risks, essential documentation, roles, and activities
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AI governance in practice
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Mapping ISO 42001 with the EU AI Act
Module 6 – The Future of AI
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Societal and sector-specific impacts (BFSI, Retail, Healthcare, IT Services, Logistics)
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Emerging and redundant roles in AI
Training Handouts
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ISO 42001 Clauses
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Documentation and activity lists
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ISO & EU AI Act mapping
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Implementation risks overview
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Quiz program for knowledge assessment
