ISO/IEC 42001 AI Management System (AIMS) Implementation Training Course

The ISO/IEC 42001 AI Management System (AIMS) Implementation Training Course equips AI governance leads, risk and compliance managers, data and technology leaders, and internal auditors with the practical knowledge needed to build, operate, and improve an AI management system that follows the structure of ISO/IEC 42001. The standard sets out requirements for establishing, implementing, maintaining, and continually improving a management system for the responsible development, provision, or use of AI systems, and it gives organizations a common way to show how AI risks are identified, owned, and controlled. The course focuses on the standard itself rather than on AI governance, ethics, or AI risk management in general. Participants work through its requirements in order: the context of the organization, its role as an AI provider, developer, or user, and the scope of the system; leadership, AI policy, and roles; AI risk assessment, AI system impact assessment, and risk treatment; the reference controls and the statement of applicability; support processes such as competence, awareness, and documented information; operational control across the AI system lifecycle; data, third parties, and human oversight; and performance evaluation through monitoring, internal audit, and management review. Participants learn how the standard sits alongside management systems their organizations may already run, such as ISO/IEC 27001 for information security, ISO 9001 for quality, and ISO 31000 guidance for risk, and how to reuse shared processes instead of building parallel ones. The course explains the requirements of the standard and how to apply them; it does not provide legal advice, and participants apply the content within the laws and regulations that govern their own organizations. The course prepares participants for implementation and audit readiness work; certification of an organization's system is carried out separately by independent certification bodies. The course is delivered through a case organization that runs across all five days, gap analysis exercises, AI risk and impact assessment workshops, control selection exercises, and an internal audit simulation. Participants leave with a gap analysis against the standard, an AI system inventory structure, an AI risk and impact assessment method, a draft statement of applicability, and an implementation roadmap they can adapt to their own organizations.