Malaysian schools and universities can run in-house AI workshops by booking a certified trainer to deliver whole-staff sessions on campus, usually as a half-day awareness session or a full-day practical workshop scheduled during term breaks or professional development days. The most effective format trains all teaching staff together on the institution’s own subjects, assessment formats and existing tools, rather than sending a handful of teachers to a generic external course.
This guide is written for the person doing the organising — the principal, head of department, dean, or professional development coordinator — rather than for the individual teacher.
Why whole-staff workshops beat sending two people out
The common approach is to send one or two enthusiastic staff members to an external AI course and hope the knowledge spreads. It rarely does. Those returning staff have no mandate, no shared vocabulary with colleagues, and no time allocated to run internal sessions.
An in-house workshop solves three problems at once: every teacher hears the same guidance on what is acceptable, the examples used are drawn from your own syllabus and assessment tasks, and departmental disagreements about AI use get surfaced and settled in the room. For institutions that also need a longer-term strategy, our roadmap for building AI literacy in Malaysian schools and universities covers what happens after the workshop.
Choosing the right format
Half-day awareness session (3 hours)
Best for a first exposure across a large staff body. Covers what generative AI is, what students are already doing with it, a live demonstration on your own subject material, and a Q&A on academic integrity. Suits schools with limited PD time or a large teaching cohort.
Full-day practical workshop (6–7 hours)
The most common booking. Adds hands-on time: lesson planning with AI, generating differentiated materials, building assessment rubrics, and drafting feedback. Staff leave with materials they can use the following week.
Departmental series (multiple short sessions)
Two-hour sessions run separately for language, science, mathematics and humanities departments. Slower to schedule but produces the most subject-relevant output, and works well for universities where faculty needs diverge sharply.
Leadership briefing (90 minutes)
A separate session for senior management and the board on policy, risk and institutional positioning. Often the deciding factor in whether the wider training gets budget approval.
What a school AI workshop should actually cover
Generative AI — tools such as ChatGPT, Gemini, Claude and Copilot that produce text, images or analysis from natural-language instructions — is already in your classrooms whether or not the institution has a policy. A workshop worth running covers:
- Realistic capability and failure modes. What these tools get wrong, and how to spot fabricated citations and confident errors.
- Lesson planning and material generation. Producing differentiated worksheets, questions at varied difficulty levels, and bilingual materials in Bahasa Melayu and English.
- Assessment design in an AI era. Redesigning tasks so they remain meaningful when students have access to AI, rather than attempting to police it.
- Academic integrity and detection. Why AI-detection tools are unreliable, and what defensible institutional practice looks like instead.
- A draft institutional AI policy. Written collaboratively in the session so it reflects staff reality.
Individual teachers looking to go deeper afterwards will find our practical guide to AI training for teachers and educators in Malaysia a useful follow-on.
Scheduling and logistics that make or break the day
Three practical constraints decide whether the workshop lands. First, timing: term breaks and designated PD days work; squeezing a session into the last period of a teaching day does not. Second, devices — every participant needs a laptop or tablet with working internet, and this is the single most common reason hands-on segments fail. Third, account access: if the institution blocks AI tools on its network, resolve that with IT before the session, not during it.
Group size matters too. Beyond roughly 40 participants, hands-on segments become demonstrations. If your staff body is larger, split into two cohorts rather than diluting the format.
Funding an AI workshop for a Malaysian institution
Funding routes differ from the corporate path. Private schools, colleges and university-affiliated entities registered as HRD Corp levy contributors may be able to claim eligible training, most commonly through the SBL-Khas scheme — HRD Corp being Malaysia’s Human Resource Development Corporation, which administers the employer training levy. Public schools more often fund professional development through district or ministry PD allocations, or through foundation and corporate CSR partnerships. Confirm your institution’s levy status and provider eligibility in writing before committing to a date.
Who should deliver it
Education-sector AI training rewards trainers who have actually taught. Dr Muhamad Hariz Bin Muhamad Adnan holds a doctorate in Artificial Intelligence and is a Senior Lecturer at the Faculty of Computing and Meta-Technology, Universiti Pendidikan Sultan Idris (UPSI) — Malaysia’s national education university — as well as an HRD Corp–certified AI trainer. Working across AI-driven digital transformation in both education and the workplace means sessions are built around classroom and lecture-hall realities: marking loads, assessment moderation, and the awkward questions staff actually ask.
Frequently asked questions
How long does an AI workshop for a school take?
A half-day awareness session runs about three hours; a full-day practical workshop runs six to seven hours including breaks. Departmental series typically use two-hour blocks across several weeks.
Can the workshop be delivered in Bahasa Melayu?
Yes. Sessions can be delivered in Bahasa Melayu, English, or a mix, and prompting exercises can be run in both languages — which is itself useful practice for producing bilingual teaching materials.
Do teachers need any technical background?
No. These workshops are designed for teaching staff with no coding or technical experience. The prerequisite is a working device and willingness to try things live.
Is this suitable for universities as well as schools?
Yes, though the emphasis shifts. University sessions weight assessment redesign, research integrity and postgraduate supervision more heavily, while school sessions weight lesson planning and classroom management.
What should we do immediately after the workshop?
Finalise the draft policy within two weeks while attention is high, name a coordinator per department, and schedule a short follow-up session one term later. Momentum decays quickly without a dated next step.
Planning a session for your institution
If you are scoping an AI workshop for your school, college or faculty, the useful first step is a short conversation about staff numbers, term calendar and what leadership wants to have changed by the end of the year. See the AI for education programmes or get in touch to discuss dates and format.
