Introduction to ISO/IEC 42001 and the initiation of an AIMS implementation Training course objectives and structure Standards and regulatory frameworks Artificial intelligence mana
Introduction to ISO/IEC 42001 and the initiation of an AIMS implementationTraining course objectives and structureStandards and regulatory frameworksArtificial intelligence management system (AIMS)Fundamental concepts and principles of artificial intelligenceAIMS implementation approachesLeadership and project approvalRoles and responsibilitiesImplementation plan of an AIMSThe organization and its contextAIMS scopeAnalysis of the existing systemAI policyAI risk managementStatement of ApplicabilityImplementation of an AIMSSelection and design of controlsImplementation of controlsManagement of documented informationCommunicationCompetence and awarenessManagement of AI operationsAIMS monitoring, continual improvement, and preparation for the certification auditMonitoring, measurement, analysis and evaluationInternal auditManagement reviewTreatment of nonconformitiesContinual improvementPreparation for the certification auditClosing of the training course
Structured progression from fundamentals to application ensures retention.Each module reinforces previous learning while introducing new competencies.
“The curriculum aligns theory with applied practice.”
This ISO/IEC 42001 Lead Auditor training prepares audit, risk, and compliance professionals to assess Artificial Intelligence Management Systems (AIMS) in a structured, defensible way. The course focuses on planning, conducting, and closing ISO/IEC 42001 audits in real organizational environments, addressing governance, ethical use of AI, risk management, and regulatory expectations shaping 2024–2025. Participants learn to interpret ISO/IEC 42001 requirements from an auditor’s perspective, evaluate objective evidence, and formulate audit conclusions that stand up to certification scrutiny and executive review.
View courseThis Lead AI Risk Manager training prepares professionals to design, operate, and defend an AI risk management program aligned with regulatory and governance expectations. The course focuses on practical risk identification, decision traceability, and defensible mitigation strategies across the AI.
View courseISO/IEC 27001 formation and certification is no longer a differentiator but a baseline expectation. This training prepares professionals to implement and manage an Information Security Management System that actually works in operational environments.
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AIMS scope defines which AI activities, systems, and organizational units are covered. Context analysis examines stakeholders, legal requirements, and organizational objectives to ensure the AIMS is fit for purpose.
A Statement of Applicability documents which controls are selected for the AIMS and why they apply, creating traceability between risks, requirements, and controls.
Leaders and managers who oversee program accountability and governance decisions.
Common gaps include incomplete risk assessments, generic policies not tailored to AI risks, insufficient training, and weak monitoring. Address them through stakeholder involvement, evidence-based controls, and continual review.
ISO 27001 gives you a head start on ISO 42001, not a free pass. Here is what carries over, what is new, and how to extend your ISMS to an AIMS, step by step.
Regulation (EU) 2024/1689 is the EU's first comprehensive risk-based horizontal AI law, applying in stages from 2025 to 2027 (with Article 6(1) deferred to 2027). Complete guide.
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