Course Objective
What this programme helps you achieve
A hands-on 5 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 Lead Implementer 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 lead implementer approach with exam-style exercises.
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
AIMS project initiation, leadership and governance
Scope, context and stakeholder analysis for AI
AI policy, objectives and organisational roles
AI risk assessment and AI system impact assessment methodology
Implementing ISO/IEC 42001 Annex A controls
AI lifecycle, data governance, transparency and oversight
Third-party AI, supplier and model risk management
AIMS internal audit, management review and improvement
Certification audit preparation and lead implementer competencies
5 Days Agenda
Structured learning flow
Day 1
Day 1 — AIMS Governance & Scope
AIMS project initiation, leadership and governance; Scope, context and stakeholder analysis for AI.
Day 2
Day 2 — AI Risk & Impact
AI policy, objectives and organisational roles; AI risk assessment and AI system impact assessment methodology.
Day 3
Day 3 — Annex A Controls
Implementing ISO/IEC 42001 Annex A controls; AI lifecycle, data governance, transparency and oversight.
Day 4
Day 4 — Lifecycle & Supplier Risk
Third-party AI, supplier and model risk management; AIMS internal audit, management review and improvement.
Day 5
Day 5 — Audit, Certification & Exam
Certification audit preparation and lead implementer competencies.
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 aims project initiation, leadership and governance.
- Confidently work with scope, context and stakeholder analysis for ai.
- Confidently work with ai policy, objectives and organisational roles.
- Confidently work with ai risk assessment and ai system impact assessment methodology.
- Confidently work with implementing iso/iec 42001 annex a controls.