Course Objective
What this programme helps you achieve
A hands-on 2 days programme that builds practical, job-ready capability in this area. Delivered through guided walkthroughs, worked examples and reusable checklists you can apply immediately.
UnderstandBuild a clear, structured understanding of the core concepts, terminology and drivers behind this domain.
ApplyTranslate the framework into practical actions, controls and working methods you can use on real engagements.
AssessEvaluate current-state maturity, identify gaps and prioritise the improvements that reduce the most risk.
DeliverProduce the artefacts, evidence and reporting expected of a competent practitioner in this area.
Market Need
Why this matters now
ISO/IEC 42001:2023 AIMS Foundation addresses a capability that organisations increasingly need but often lack in a structured, defensible form. Teams frequently rely on ad-hoc knowledge, scattered documents or vendor claims instead of a repeatable method.
This programme closes that gap. It gives participants a shared vocabulary, a practical method and a set of reusable artefacts so the organisation can operate this domain consistently rather than reactively.
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Framework alignment: ISO/IEC 42001:2023 AI management system.
What makes this programme useful
01
Practical Focus
Every module is grounded in real scenarios, walkthroughs and reusable checklists rather than theory alone.
02
Career Relevant
Skills map directly to in-demand roles and to how organisations actually operate this domain.
03
Structured Path
A logical progression from fundamentals to applied practice, with a clear takeaway toolkit.
Key Learning Areas
What participants will learn
AI concepts, AI risks and responsible AI drivers
ISO/IEC 42001:2023 structure and Annex SL alignment
AI management system (AIMS) scope and context
Leadership, AI policy and governance roles
AI risk assessment and AI impact assessment
Annex A controls and implementation guidance
AI system lifecycle and operational controls
Internal audit, management review and certification path
2 Days Agenda
Structured learning flow
Day 1
Day 1 — AI Governance & AIMS Concepts
AI concepts, AI risks and responsible AI drivers; ISO/IEC 42001:2023 structure and Annex SL alignment; AI management system (AIMS) scope and context; Leadership, AI policy and governance roles.
Day 2
Day 2 — Controls, Risk & Certification
AI risk assessment and AI impact assessment; Annex A controls and implementation guidance; AI system lifecycle and operational controls; Internal audit, management review and certification path.
Audience & Entry Level
Who should attend?
This programme is designed for professionals who work with, or are moving into, this area of cybersecurity, governance or technology.
AI Governance LeadRisk & ComplianceData Science / ML TeamSecurity ArchitectProduct & EngineeringCISO / CTOIT AuditorLegal & Privacy
Recommended prerequisite
A general awareness of information security or IT concepts is helpful. No specific certification is required to attend.
Learning Outcome
What participants should be able to do after the course
- Confidently work with ai concepts, ai risks and responsible ai drivers.
- Confidently work with iso/iec 42001:2023 structure and annex sl alignment.
- Confidently work with ai management system (aims) scope and context.
- Confidently work with leadership, ai policy and governance roles.
- Confidently work with ai risk assessment and ai impact assessment.