// Programmes
Three programmes. Each one built for a specific area of the work.
Full details of each course — topics, structure, duration, and price. Read the descriptions carefully before enquiring: they reflect what the programme actually covers.
Back to Home// Our Approach
How the programmes are built.
Depth over breadth
Each programme covers fewer topics than a survey course would, but goes further into each one. The goal is working understanding, not familiarity with terminology.
Project work throughout
Every week involves practical work, not just reading or watching. The exercises are designed to surface the things that don't come up in tutorials — handling real data, managing edge cases, making decisions under uncertainty.
Updated before each intake
Programmes are reviewed before each cohort starts. Content that no longer reflects current practice is updated or removed.
// Programme 01
Natural Language Processing Programme
A fourteen-week programme in modern natural language processing. Covers tokenisation, embeddings, transformer architectures, fine-tuning, and the practical considerations involved in working with large pre-trained models. Paced for working professionals with intermediate Python familiarity. Weekly project work is reviewed individually, and small-group sessions support open-ended exploration.
Topics covered
- Tokenisation strategies and vocabulary management
- Word and sentence embeddings — dense representations in practice
- Transformer architecture — attention mechanisms and positional encoding
- Working with pre-trained models: BERT, GPT-family, and their variants
- Fine-tuning approaches and their trade-offs
- Handling domain shift and real-world text data
Programme structure
Weeks 1–4: Foundations — tokenisation, embeddings, classical approaches
Weeks 5–9: Transformer architecture and pre-trained models
Weeks 10–14: Fine-tuning, deployment considerations, and final project
// Programme 02
Computer Vision Foundations
A ten-week course on the foundations of computer vision — from image representation through convolutional architectures to recent vision transformer approaches. Balances explanation with hands-on practice, using small, well-defined datasets so learners can run experiments on modest hardware. Office hours are scheduled weekly.
Topics covered
- Image representation — pixels, channels, colour spaces
- Convolutional neural networks — architecture and intuition
- Training dynamics: overfitting, regularisation, data augmentation
- Transfer learning with image models
- Vision transformers: how and why they work
- Object detection basics and evaluation metrics
Programme structure
Weeks 1–3: Image fundamentals and early vision techniques
Weeks 4–7: CNNs — architecture, training, and transfer learning
Weeks 8–10: Vision transformers and final project
// Programme 03
Short Course: AI Ethics for Developers
A three-week short course for developers and engineers who want a careful introduction to ethical considerations in AI work — data provenance, bias and fairness, transparency, and accountability. The focus is on practical implications for project decisions rather than abstract debate. Lighter workload than the other programmes; suitable as a standalone short course or alongside one of the longer ones.
Topics covered
- Data provenance — where data comes from and what that means
- Bias and fairness — definitions, measurement, practical limits
- Transparency and explainability — what can and can't be explained
- Accountability structures in team and product contexts
- Applying ethical frameworks to real project decisions
Programme structure
Week 1: Data, provenance, and the origins of bias
Week 2: Transparency, explainability, and their practical limits
Week 3: Accountability frameworks and project case study
// Choosing a Programme
Which one is right for you.
Use this table as a starting point. If you're unsure, send an enquiry describing your background and we'll give a direct answer.
| Feature | NLP Programme | Computer Vision | AI Ethics |
|---|---|---|---|
| Duration | 14 weeks | 10 weeks | 3 weeks |
| Price (RM) | 2,015 | 1,360 | 580 |
| Python required | |||
| Weekly office hours | Included | ||
| Best for | Text data, NLP tools, LLM integration | Image data, inspection, detection tasks | Any developer working on AI projects |
// Standards Across All Programmes
What every participant can expect.
Written project feedback
Each project submission gets a specific written response from the instructor.
Session recordings
Live group sessions are recorded and available to all cohort participants.
Standard hardware
All exercises run on a standard laptop. No GPU or cloud requirement.
Completion letter
Participants who complete all submissions receive a letter documenting the programme.
// Pricing
Programme fees at a glance.
All amounts in Malaysian Ringgit (RM). Payment in full is due before the programme begins. Contact us about team enrolments.
NLP Programme
RM 2,015
14-week programme
- 14 weekly sessions
- Individual project feedback
- Session recordings
- Completion letter
Popular
Computer Vision
RM 1,360
10-week programme
- 10 weekly sessions
- Individual project feedback
- Weekly office hours
- Completion letter
AI Ethics
RM 580
3-week short course
- 3 weekly sessions
- Discussion and case work
- Session recordings
- Completion letter
// Enquire
Questions about a specific programme?
Tell us your background and which course you're considering. We'll let you know if it's a good fit.
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