UNIT 01
Understand
Know what the model can and cannot do.
- Track focus
- AI limits in professional work
- Working asset
- Personal use-case register
- Risk control
- Know when not to use it
A rigorous one-day public course for writing, research, analysis, planning, presentations, administration, learning and repeatable personal workflows.
One practical AI course; configured to the work you actually do.
See classification, prioritisation, assumptions and template design applied to ordinary professional work.
Illustrative workflow. The user remains responsible for source checking, factual accuracy and final decisions.
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 individuals.
UNIT 01
Know what the model can and cannot do.
Reusable context, constraints and examples for recurring work.
A source-aware sequence from question to reviewed output.
Repeatable structures for tasks, projects and presentations.
A practical test for facts, sources and assumptions.
A realistic habit plan centred on one measurable workflow.
No specialist installation or dedicated AI infrastructure is required for the standard one-day course.
Public cohorts are sized for practical support. Private or organisation-sponsored groups are scoped separately.
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?
A personal value model based on your repetitive hours, conservative reduction, working weeks and course fee.
46 weeks of sustained use
A value estimate, not additional income
At RM 60 per hour
Half-case to entered assumption
At half the entered reduction, the model recovers 28 h a year.
All values are user-controlled. Time recovered is a capacity estimate and depends on sustained use and verification.
The founding price is a planning default from the existing course strategy and remains subject to commercial approval.
The full practical course with exercises and working assets.
Reserved for a genuinely deeper support layer, not artificial packaging.
A private version configured to the group’s professional context.
Planning defaults require commercial review before launch. Public pricing is based on cohort economics and access, not on making consumer delivery artificially expensive. 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.
Tell us the work you do and the recurring task you want to improve. Submission records interest; it does not charge you.
Individuals course selected