UNIT 01
Understand
Know what the model can and cannot do.
- Track focus
- AI foundations for IT
- Working asset
- Governed use-case register
- Risk control
- Tool and model boundaries
A concentrated one-day programme across prompting, verification, automation, governance and use-case selection. Teams ready to build can choose the one-day Technical Implementation Lab for service-desk, AIOps, security or infrastructure systems.
One practical AI course; configured to the work you actually do.
The existing service-desk proof remains intact: classification, retrieval, confidence, policy gating and accountable approval.
Illustrative deterministic demonstration. Production routing requires organisation-specific knowledge, evaluation, access controls and human ownership.
Run the example to expose decisions, missing information and the human verification point.
A complete working day for busy participants. The shared method remains consistent; the examples, lab, outputs and risk controls adapt to it teams.
UNIT 01
Know what the model can and cannot do.
Priorities ranked by operational value, feasibility and risk.
A working demonstration or implementation-ready technical map.
Quality, confidence, failure and escalation measures.
Clear boundaries for identity, access, money and production actions.
Owners, dependencies, build order and kill criteria.
No specialist installation or dedicated AI infrastructure is required for the standard one-day course.
8 to 20 participants for practical in-house delivery. Larger groups require an altered facilitation and commercial model.
A microphone is recommended above approximately 20 participants.
Higher bandwidth may be needed for larger groups; organisational controls and concurrent use affect performance.
Phones and tablets can supplement a laptop, but are not equivalent for every lab.
No specialist installation or dedicated AI infrastructure is required for the standard one-day course. Private or regulated deployments require separate scoping.
No confidential client, customer, employee or production data should be entered into public AI tools. Exercises use synthetic, anonymised or host-approved data; host policy prevails. The trainer requests relevant AI, privacy and security policies during preparation. Private or regulated deployments require separate scoping.
Missing one or more items does not end the conversation. It changes the delivery plan.
Do participants have laptops?
Is stable internet available?
Is there a projector or large display?
Can approved AI services be accessed?
Can the host provide participant roles and desired workflows in advance?
Savings remain net of human review, build cost and run cost. A poor containment case is shown rather than hidden.
600 contained tickets
RM 5,500 gross less RM 500 run cost
Against RM 63,000 build cost
Deducted from every contained ticket
At 20% containment, payback is 28.0 months.
Assumes RM 63,000 illustrative build cost and RM 500 monthly run cost. Change these during scoping; no result is a promise.
Both formats fit one working day. The enablement course builds governed capability; the technical lab concentrates on implementation against the team’s stack.
Governed daily use, evaluation and an implementation-ready use-case map.
A concentrated technical course for teams ready to build on their stack.
A capability programme across teams, sites and implementation stages.
The Technical Implementation Lab remains RM 2,400 per participant for one concentrated day. Enablement and enterprise figures remain subject to final scope. Eligible programmes may be claimable subject to the employer's levy balance, approved scheme, documentation and HRD Corp requirements. Claimability copy remains subject to legal and commercial review.
Advocate and solicitor at RLB Advocates & Solicitors; tech entrepreneur at Axon Avenue PLT. The course is built around practical workflows, transparent assumptions and accountable human review.
Share the team, stack and first priority. Choose enablement or the advanced technical lab during scoping.
IT Teams course selected