Course Objective
What this programme helps you achieve
A hands-on 3 hours 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
AI Governance and Secure Use of AI Tools 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: Awareness-level introduction aligned with ISO/IEC 42001 and enterprise AI policy.
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
Generative AI in the workplace: opportunity and risk
Data confidentiality and privacy when using AI
Acceptable use and approved AI tools
Shadow AI and why it is risky
Recognising AI-driven threats and deepfakes
Human oversight and verifying AI output
Basic AI governance responsibilities
Safe, responsible AI use guidelines
3 Hours Agenda
Structured learning flow
09:00–10:15
Module 1 — Generative AI in the workplace: opportunity and risk
Concepts, guided walkthrough and discussion covering generative AI in the workplace: opportunity and risk.
10:30–11:45
Module 2 — Data confidentiality and privacy when using AI
Concepts, guided walkthrough and discussion covering data confidentiality and privacy when using AI.
12:00–13:00
Module 3 — Acceptable use and approved AI tools
Concepts, guided walkthrough and discussion covering acceptable use and approved AI tools.
14:00–15:15
Module 4 — Shadow AI and why it is risky
Concepts, guided walkthrough and discussion covering shadow AI and why it is risky.
15:30–16:30
Module 5 — Recognising AI-driven threats and deepfakes
Concepts, guided walkthrough and discussion covering recognising AI-driven threats and deepfakes.
16:30–17:00
Module 6 — Human oversight and verifying AI output
Concepts, guided walkthrough and discussion covering human oversight and verifying AI output.
09:00–10:00
Module 7 — Basic AI governance responsibilities
Concepts, guided walkthrough and discussion covering basic AI governance responsibilities.
10:15–11:30
Module 8 — Safe, responsible AI use guidelines
Concepts, guided walkthrough and discussion covering safe, responsible AI use guidelines.
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.
All EmployeesManagers & Team LeadsHR & AdminExecutives & BoardNew JoinersCustomer-Facing StaffIT SupportAwareness Champions
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 generative ai in the workplace: opportunity and risk.
- Confidently work with data confidentiality and privacy when using ai.
- Confidently work with acceptable use and approved ai tools.
- Confidently work with shadow ai and why it is risky.
- Confidently work with recognising ai-driven threats and deepfakes.