Programmes
Three Tracks, One Careful Direction
Each programme is designed for a specific stage of learning. Whether you are beginning from scratch, building practical skills, or working at a serious advanced level, there is a track with a structure that fits where you are.
Back to HomeOur Methodology
How We Structure Learning
Each track follows the same underlying pattern: concepts introduced one at a time, followed by exercises that apply them in context, followed by a project that asks you to bring it together yourself. Mentors are present throughout — not just at the end.
The pace is designed around adults who have other commitments. You need roughly five to eight hours a week to stay on track. The structure is linear within a track but not competitive — students move together through the cohort at a pace that keeps the group coherent.
Concepts First
Understanding before syntax
Exercises in Context
Problems set in real settings
Reviewed Projects
Written feedback from mentors
Completion Certificate
On finishing assessed work
AI Literacy for Beginners
A calm first step for anyone who wants to understand what AI can and cannot do before writing any code. Over five weeks you explore core ideas, work through gentle Python exercises, and try small, friendly tools. The pace is relaxed and questions are always welcome in the weekly group session led by a patient mentor. You finish with the confidence to choose a next path and a small hands-on project to your name.
- No prior programming experience required
- Introduction to Python with guided exercises
- Weekly live group session with mentor
- Hands-on mini project and completion certificate
Programme Flow
Weeks 1–2: What AI is and is not — key concepts, vocabulary, and the shape of the field without the hype.
Weeks 3–4: First Python steps — variables, data, loops, and simple data inspection using real examples.
Week 5: Small project — bringing the concepts together in something you build and your mentor reviews.
Machine Learning Practitioner Track
A structured programme for those who want practical, dependable skills. Across ten weeks you build a steady workflow for data preparation, model training, and honest evaluation, with two projects grounded in realistic settings. The cohort stays small so feedback is personal, and your mentor reviews each submission carefully. Recorded lessons, exercise sets, and a supportive discussion space are included throughout.
- Data preparation and feature engineering fundamentals
- Model training, evaluation, and iteration
- Two reviewed projects in realistic industry contexts
- scikit-learn, pandas, and related Python tools
Programme Flow
Weeks 1–3: Data fundamentals — reading, cleaning, and preparing datasets for modelling work.
Weeks 4–7: Model training and evaluation — supervised learning, metrics that matter, avoiding overfitting.
Weeks 8–10: Two project submissions with individual mentor feedback and final review session.
Advanced Deep Learning Studio
A thoughtful advanced track for developers ready to work seriously with neural networks. Over fourteen weeks you study architectures for vision and language, training strategies, and responsible use, building toward a capstone you shape with guidance. The small-group format keeps mentoring close and feedback detailed. You retain lasting access to materials and a quiet alumni circle for ongoing conversation.
- Neural network architectures for vision and language
- Training strategies and responsible deployment
- Self-directed capstone with detailed mentor guidance
- Alumni circle access after completion
Programme Flow
Weeks 1–5: Deep learning foundations — backpropagation, PyTorch basics, and the architecture vocabulary.
Weeks 6–10: Architectures in practice — CNNs, transformers, training at scale, evaluation and limits.
Weeks 11–14: Capstone development — student-driven project with structured mentor check-ins and final presentation.
Side by Side
Which Track Is Right for You?
Use this as a guide. If you are unsure, send us a message and we can talk it through.
| Feature | AI Literacy | ML Practitioner | Deep Learning Studio |
|---|---|---|---|
| Duration | 5 weeks | 10 weeks | 14 weeks |
| Price | RM 960 | RM 1,380 | RM 1,840 |
| Prior coding needed | None | Basic Python | Python + ML basics |
| Number of projects | 1 mini project | 2 reviewed projects | 1 self-directed capstone |
| Mentor feedback | Detailed | ||
| Alumni circle | |||
| Best for | Complete beginners | Building practical skills | Advanced specialisation |
Delivery Standards
Standards Across All Tracks
Student Privacy
Submission content, personal details, and discussion contributions are kept private to the teaching team. Nothing is shared or published without consent.
Consistent Assessment
All submissions are reviewed using the same criteria across a cohort. Mentors use a shared rubric and discuss borderline cases before responding to students.
Pre-Cohort Curriculum Review
Before each intake opens, the teaching team reviews the track for outdated material, changed library versions, or approaches that need updating.
Responsive Support
The discussion space is monitored during working hours. Questions asked before 5 PM MYT on weekdays typically receive a response the same day.
Transparent Certification
Certificates are issued only on completion of assessed work. The certificate states the track name, duration, and skills covered — not a generic credential.
Responsible AI Throughout
Ethics, limitations, and accountability are integrated into the curriculum of each track — not separated into a standalone optional module.
Investment
Programme Fees
All prices are in Malaysian Ringgit and cover everything: mentoring, materials, live sessions, and the completion certificate. No add-on costs.
Beginner
AI Literacy
RM 960
per programme · 5 weeks
- 5 recorded lesson modules
- Weekly live group session
- Guided Python exercises
- Mini project + mentor review
- Completion certificate
Practitioner
ML Practitioner
RM 1,380
per programme · 10 weeks
- 10 recorded lesson modules
- Weekly live sessions
- Two reviewed ML projects
- Discussion space access
- Lasting material access
- Completion certificate
Advanced
Deep Learning Studio
RM 1,840
per programme · 14 weeks
- 14 recorded lesson modules
- Weekly live sessions
- Self-directed capstone
- Detailed mentor reviews
- Alumni circle access
- Lasting material access
Not sure which to pick?
We Can Help You Choose
Tell us a little about where you are starting from — we will suggest the track that fits and answer any questions you have before you commit to anything.
Get in Touch