Three Levels, One Clear Path Forward
From first Python scripts to production-ready neural networks — each Bijak Tech programme is complete in itself and designed to connect directly to the next.
How the Programmes Are Built
All three programmes follow the terrace model — a sequenced approach in which each unit is introduced only after the preceding one is secure. This means no unit depends on material that has not yet been taught, and no learner is expected to fill in gaps independently.
Each programme includes recorded video lessons, weekly mentor clinics, structured assignments, and a concluding project. The mentor clinic recordings are available within 24 hours for learners who cannot attend live.
Video Lessons
Self-paced, revisitable, with timestamped transcripts
Weekly Clinic
Live 60-min session with your mentor, recorded after
Assignments
Graded coding tasks with written mentor feedback
Capstone Project
A complete, portfolio-ready project on completion
Python & Data Foundations
A measured introduction for learners building their base before tackling models. Across six weeks you grow comfortable with Python, data structures, and clean coding habits, supported by short videos and a weekly mentor clinic. The terraced syllabus keeps each step small and clear. You finish with a starter project and a steady footing for what follows.
- Python syntax, control flow, and data types
- Working with NumPy and Pandas
- Data cleaning and basic visualisation
- Clean coding habits and version control basics
- Starter project: end-to-end data exploration
Programme Steps
- Environment setup and Python orientation (Week 1)
- Data structures and control flow (Weeks 2–3)
- NumPy, Pandas, and data handling (Weeks 4–5)
- Starter project and code review (Week 6)
Machine Learning Project Track
A practical programme for those ready to build models that mean something. Over ten weeks you cover feature work, training, and honest evaluation, completing two projects drawn from realistic Malaysian settings. Small cohorts keep mentor feedback personal, and code reviews help your habits mature. Recordings and a supportive discussion space are included.
- Feature engineering and data preparation
- Supervised learning with scikit-learn
- Model evaluation and error analysis
- Two complete Malaysian-context projects
- Personal code review on each submission
Programme Steps
- Feature work and data preparation (Weeks 1–3)
- Model training and hyperparameter tuning (Weeks 4–6)
- Evaluation, interpretation, and first project (Weeks 7–8)
- Second project with full code review (Weeks 9–10)
Neural Networks in Depth
An advanced track for developers ready to work seriously with deep learning. Over fourteen weeks you study architectures, training dynamics, and responsible deployment, building a capstone you design with guidance. The close cohort keeps support attentive and feedback thorough. Lasting access to materials and a quiet alumni circle round out the programme.
- Neural network architectures with PyTorch
- Training dynamics, regularisation, and optimisers
- CNNs and sequence models in applied settings
- Responsible deployment and fairness considerations
- Self-designed capstone + alumni circle access
Programme Steps
- Foundations: tensors, autograd, and network design (Weeks 1–4)
- Architecture families: CNNs, RNNs, Transformers (Weeks 5–9)
- Responsible deployment and ethics (Weeks 10–11)
- Capstone: design, build, and mentor review (Weeks 12–14)
Programme Comparison
| Feature | Python & Data | ML Project Track | Neural Networks |
|---|---|---|---|
| Duration | 6 weeks | 10 weeks | 14 weeks |
| Fee | RM 990 | RM 1,410 | RM 1,870 |
| Prior coding needed | None required | Level 01 or equivalent | Level 02 or equivalent |
| Number of projects | 1 starter project | 2 applied projects | 1 capstone (self-designed) |
| Code review | |||
| Alumni circle | — | — | |
| Best for | First-time coders | Those ready to build real models | Developers going deep |
The Machine Learning Project Track is the most popular entry point for professionals with some Python background.
Across Every Programme
Data Privacy
All learner data is handled in accordance with Malaysian privacy requirements. No contact information is shared with third parties.
Regular Curriculum Review
Materials are reviewed before each cohort. Tool versions, examples, and project scenarios are updated to stay current.
Feedback Collection
Structured feedback is gathered at the programme midpoint and end. The teaching team reads all responses and acts on recurring points.
Attendance Flexibility
Live clinic recordings are available within 24 hours. No penalty for missing live sessions — the material remains accessible throughout.
Open-Source Stack
All tooling is open source. You do not need paid software subscriptions to complete any Bijak Tech programme.
Ethics Integrated
Responsible AI practices — fairness, bias awareness, deployment ethics — are included in the core material of every programme.
Programme Fees
All fees in Malaysian Ringgit. Full programme access included — no extras.
Python & Data Foundations
RM 990
- 6 weeks
- Weekly mentor clinic
- Starter project with review
- Lasting access to materials
Machine Learning Project Track
RM 1,410
- 10 weeks
- Two real-world projects
- Personal code reviews
- Discussion forum access
- Lasting access to materials
Neural Networks in Depth
RM 1,870
- 14 weeks
- Self-designed capstone project
- Deep learning with PyTorch
- Alumni circle access
- Lasting access to materials
Not Sure Where to Start?
Send us a message or call and we will help you figure out which programme fits your current background. There is no obligation — just a straightforward conversation.
Book a Free Consultation