Our Programmes
Three Tracks, One Clear Path Forward
Each track builds on the last. Start at the level that matches your current knowledge and move through at a pace that keeps things solid.
Back to HomeOur Methodology
How Every Programme at Cendana Labs Works
Every track at Cendana Labs follows the same structural logic: introduce a concept clearly, work through it with exercises drawn from real scenarios, then apply it in a project that requires adaptation — not just repetition. Sessions are live, cohort sizes are capped, and instructors review submitted work personally.
The three tracks are not interchangeable — they represent a sequence from foundational knowledge through to advanced system development. You can enter at AI Foundations with no prior experience, at Machine Learning Track with working Python skills, or at Deep Learning Foundry with applied ML experience. If you're unsure which entry point fits, the team can help you decide before you enrol.
Live Sessions
Personal Review
Real Projects
Lasting Access
Track 01 · 6 Weeks · RM 970
AI Foundations
A welcoming start for newcomers. Over six weeks you learn Python basics, data handling, and core model ideas, with a weekly clinic for questions. The foundry pace keeps each step solid. You finish with a small project and a plan for next steps.
- Python syntax, variables, functions, and loops
- Working with data in Pandas and NumPy
- What a model is and how it learns
- Weekly live Q&A clinic
- Guided final project with instructor feedback
Weeks 1–2: Python environment setup, syntax, data types, and control flow.
Weeks 3–4: Data handling with Pandas. Reading, cleaning, and summarising datasets.
Weeks 5–6: Introduction to model training. A guided project applying everything covered.
Blueprint Note
By the end of this track, you will have written Python code that reads a dataset, explores it, and trains a simple model on it. The project is yours to keep and build on.
Blueprint Note
By the end of this track, you will have completed two projects: one on structured tabular data and one involving feature engineering and model comparison. Both receive written feedback.
Track 02 · 11 Weeks · RM 1,440
Machine Learning Track
A practical programme for learners ready to build. Across eleven weeks you cover data work, training, and evaluation, completing two grounded projects with personal feedback. Small cohorts keep support close. Recordings and a peer channel are included.
- Data preparation and feature engineering
- Supervised and unsupervised learning methods
- Model evaluation, cross-validation, and tuning
- Two graded projects with instructor review
- Peer channel and session recordings
Weeks 1–3: Data pipelines, cleaning strategies, and exploratory analysis.
Weeks 4–8: Core ML algorithms, training routines, and evaluation metrics. First project submission.
Weeks 9–11: Model tuning, pipeline structuring, and final project submission with review.
Track 03 · 13 Weeks · RM 1,870
Deep Learning Foundry
An advanced track for developers ready to study neural networks. Over thirteen weeks you cover architectures, training, and deployment, building a capstone with guidance. The close cohort keeps feedback thorough. Lasting access and a quiet alumni space support you afterwards.
- Neural network architectures (CNNs, RNNs, Transformers)
- PyTorch implementation and training loops
- Regularisation, optimisation strategies
- Deployment basics for trained models
- Capstone project with mentor-level guidance
- Lasting access + alumni space after track ends
Weeks 1–4: PyTorch fundamentals. Building and training feedforward and convolutional networks.
Weeks 5–9: Sequence models, attention mechanisms, and transfer learning. Mid-point review.
Weeks 10–13: Deployment, capstone project development, and final presentation with instructor feedback.
Blueprint Note
By the end of this track, you will have built and deployed a neural network of your own design, received thorough written feedback on it, and joined an alumni channel with other graduates from the track.
Decision Guidance
Choose the Right Starting Track
Not sure where to begin? Use the table below as a starting guide. If still uncertain, reach out — we'll help you place yourself correctly.
| Feature | AI Foundations | ML Track | Deep Learning |
|---|---|---|---|
| Duration | 6 weeks | 11 weeks | 13 weeks |
| Price | RM 970 | RM 1,440 | RM 1,870 |
| Prior coding needed | None | Working Python | Applied ML experience |
| Projects | 1 guided project | 2 graded projects | 1 capstone |
| Alumni space | — | — | Included |
| Best for | Complete beginners | Developers building ML skills | Experienced practitioners |
Shared Standards
Technical Protocols Across All Tracks
Data Privacy (PDPA)
Participant data is handled under Malaysia's Personal Data Protection Act 2010. No data shared for marketing purposes.
Cloud-Accessible Tools
All exercises run in environments accessible from a standard browser — no high-end hardware required for any track.
Session Recordings
Every live session is recorded and made available within 24 hours. Access does not expire at the end of the track.
Updated Materials
Programme content is reviewed and updated between cohort rounds to reflect feedback and keep the technical examples current.
Local Support Hours
Programme support is available during Malaysian business hours, Mon–Fri. Queries are responded to the same working day.
Direct Track Progression
Completing one track gives direct entry to the next available cohort in the following track — no re-application needed.
Pricing
Programme Fees
All fees in Malaysian Ringgit. Includes all sessions, recordings, materials, and project feedback. No hidden charges.
Track 01
AI Foundations
RM 970
6-week programme
- All live sessions
- Session recordings
- Weekly clinic
- Guided project + feedback
Track 02
Machine Learning Track
RM 1,440
11-week programme
- All live sessions
- Session recordings
- Peer channel access
- 2 graded projects + feedback
Track 03
Deep Learning Foundry
RM 1,870
13-week programme
- All live sessions
- Session recordings
- Capstone + mentor guidance
- Lasting access + alumni space
Ready to Enrol?
Reach Out and We'll Help You Choose
Send us a message and a member of the team will respond within one working day to discuss which track suits your background and availability.
Contact the Team