Course Objective
What this programme helps you achieve
A hands-on 3 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 AI Management System Implementation 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 implementation guidance.
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
Planning an AIMS project and governance structure
Defining AIMS scope, context and interested parties
AI policy, objectives and roles/responsibilities
AI risk assessment and AI system impact assessment
Selecting and implementing Annex A AI controls
AI system lifecycle management and documentation
Data governance, transparency and human oversight controls
Internal audit, management review and certification readiness
3 Days Agenda
Structured learning flow
Day 1
Day 1 — AIMS Scope & Governance
Planning an AIMS project and governance structure; Defining AIMS scope, context and interested parties; AI policy, objectives and roles/responsibilities.
Day 2
Day 2 — AI Risk & Impact Assessment
AI risk assessment and AI system impact assessment; Selecting and implementing Annex A AI controls; AI system lifecycle management and documentation.
Day 3
Day 3 — Controls, Lifecycle & Audit
Data governance, transparency and human oversight controls; Internal audit, management review and certification readiness.
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 planning an aims project and governance structure.
- Confidently work with defining aims scope, context and interested parties.
- Confidently work with ai policy, objectives and roles/responsibilities.
- Confidently work with ai risk assessment and ai system impact assessment.
- Confidently work with selecting and implementing annex a ai controls.