Programmes
Three Programmes. Each with a Defined Scope.
Applied language model engineering, computer vision, and a diagnostic assessment for engineers who want to know where they stand before committing to a course.
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How the Programmes Are Structured
Build First, Understand Second
Programmes are structured around an applied project. Conceptual content is introduced as it becomes necessary to progress the project, rather than front-loaded as theory.
Written Feedback at Every Stage
All submissions receive written instructor feedback addressing technical decisions, not just correctness. The computer vision module includes a mid-module one-to-one review.
Transparent Scope and Cost
Each programme publishes what it covers, what it does not cover, and what compute it requires. There are no surprises after enrolment.
Programme 01
Applied Language Model Engineering
RM 660 · 14 weeks · ~11 hrs/week
A fourteen-week programme covering retrieval pipelines, evaluation harnesses, prompt and context design, fine-tuning where warranted, and the cost and latency trade-offs that shape most real architectures. Learners build one substantial system across the programme and defend their design choices in a written review. Assumes working Python and some backend experience. One live session on Tuesday evenings per week.
- Retrieval pipeline design and implementation
- Evaluation harness construction
- Prompt and context design patterns
- Selective fine-tuning considerations
- Cost and latency trade-off analysis
Compute requirements
Standard laptop for most work. GPU access via rental may assist during fine-tuning experiments (not required). Cost stated up front if applicable.
Programme Flow
System scoping and baseline architecture
Retrieval pipeline and evaluation harness build
Iterative improvement with feedback cycles
Written design defence and submission
Programme 02
Computer Vision Module
RM 395 · 9 weeks · ~7 hrs/week
A nine-week module covering image pipelines, convolutional architectures, transfer learning, annotation practice, and the practical accuracy limits of small datasets. Includes a project using a dataset the learner sources themselves — the school considers this the most useful and most demanding part of the module. Written feedback on every submission and a mid-module one-to-one review are included. A rented GPU is needed for roughly ten hours total; the cost is stated before enrolment.
- Image pipeline construction and preprocessing
- Convolutional architectures and transfer learning
- Annotation practice and dataset construction
- Accuracy limits of small datasets
- Mid-module one-to-one review included
Compute requirements
Standard laptop for most work. Approximately 10 hours of GPU rental needed in total. Indicative hourly cost stated before enrolment.
Module Flow
Dataset sourcing and annotation planning
Pipeline construction and architecture selection
Training, evaluation, and mid-module review
Final model and written analysis submission
Programme 03
Technical Readiness Assessment & Study Plan
RM 140 · Delivered within 1 week
A structured assessment of a prospective learner's current Python, mathematics, and engineering background, followed by a written study plan. The plan names what to learn first and which of the school's modules, if any, are a sensible fit right now. It will say plainly when someone would be better served by free public material for a few months before paying for anything. Completed within one week and usable at any school, not only this one.
- Written assessment of Python and engineering background
- Mathematics readiness evaluation
- Structured written study plan as output
- Recommends free alternatives when appropriate
- Usable at any institution
Compute requirements
None. The assessment is document-based and requires no programming environment setup.
Decision Guide
Which Programme Is Right for You?
| Feature | LM Engineering | Computer Vision | Readiness Assess. |
|---|---|---|---|
| Duration | 14 weeks | 9 weeks | 1 week |
| Fee | RM 660 | RM 395 | RM 140 |
| Instructor feedback on submissions | — | ||
| One-to-one review | — | — | |
| Applied project with real system | — | ||
| GPU access needed | Optional | ~10 hrs rental | None |
| Written study plan output | — | — | |
| Best for | Engineers building LLM-based systems | Engineers working on image data | Anyone unsure which programme fits |
Standards Across All Programmes
Shared Protocols and Quality Measures
Data Confidentiality
Learner submissions and personal data are held only for the duration of the programme and are not shared with third parties.
Post-Cohort Curriculum Review
Programme content is reviewed after each cohort and updated where the technical landscape has changed, particularly in fast-moving tooling areas.
Enquiry Response Within 2 Business Days
All pre-enrolment enquiries receive a substantive response within two Malaysian business days.
Fees
Transparent Programme Fees
Assessment
Readiness Assessment
RM 140
- Written background review
- Structured study plan
- Delivered within 1 week
- Usable at any institution
Module
Computer Vision Module
RM 395
- 9-week applied module
- Written feedback on all submissions
- Mid-module one-to-one review
- ~10 hrs GPU rental (cost stated)
Programme
LM Engineering
RM 660
- 14-week applied programme
- Written feedback on all submissions
- Weekly live session (Tuesday evenings)
- Design defence as final deliverable
Ready to enquire?
Start with Any Question You Have
If you are unsure which programme matches your background, the readiness assessment is designed for exactly that question. You can also write with a direct question about any programme.
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