Our Programmes
Three Tracks,
One Clear Direction
Each programme is a complete learning experience — structured, supported, and directly connected to the next level when you are ready.
Back to HomeOur Method
How the Programmes Are Built
Every Wira AI track follows the same underlying structure: concepts introduced clearly, practised immediately with real data, reviewed with personal instructor feedback, and then applied to a meaningful project before moving on. Nothing is rushed through to meet a deadline.
The three tracks — AI Foundations, Machine Learning, and Deep Learning Studio — are designed to connect. Each one ends where the next one begins, so a learner who completes Foundations does not need to backtrack or repeat topics when moving to Machine Learning.
All programmes are delivered online, in English, with sessions held at times that work for working professionals in Malaysia (weekday evenings and Saturday mornings).
Introduce
Concepts explained with context before code is written
Practise
Hands-on exercises with real Malaysian datasets
Feedback
Written instructor notes on your submitted work
Apply
Final project that demonstrates genuine capability
Track 01
AI Foundations
A gentle start for newcomers. Over six weeks you learn Python basics, data handling, and core model ideas, with a weekly clinic for questions. The kiln pace keeps things steady. You finish with a small project and a plan for next steps.
- Python syntax, data types, and control flow
- Working with data using Pandas and NumPy
- Introduction to model concepts and Scikit-learn
- Weekly Q&A clinic with instructors
- Final project with personal feedback
Week by Week
Python fundamentals — variables, functions, loops, and file handling
Data handling with Pandas; reading, cleaning, and exploring datasets
Basic model training with Scikit-learn; final project and review
6 weeks · All materials included
Track 02
Machine Learning Track
A practical programme for learners ready to build. Across ten 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.
- Feature engineering and data preparation pipelines
- Supervised and unsupervised learning methods
- Model evaluation, cross-validation, and tuning
- Two project submissions with instructor feedback
- Peer channel and session recordings
Programme Structure
Data pipelines, feature work, and exploratory analysis
Regression, classification, and clustering; first project
Evaluation methods, hyperparameter tuning, deployment basics; second project
10 weeks · Recordings + peer channel
Track 03
Deep Learning Studio
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 and training loops
- CNNs, RNNs, and transformer concepts
- Model training, debugging, and performance tuning
- Deployment pipeline — from notebook to serving
- Capstone project + lasting alumni space
Programme Structure
Foundations of neural networks, PyTorch basics, and backpropagation
CNNs for vision, sequence models, and transfer learning
Deployment, capstone project development, and final review
13 weeks · Lasting access + alumni space
Side by Side
Choosing the Right Track
If you are unsure where to start, this comparison should help. You can also write to us and we will give you a direct suggestion.
| Feature | Foundations | ML Track | DL Studio |
|---|---|---|---|
| Duration | 6 weeks | 10 weeks | 13 weeks |
| Prior experience needed | None | Foundations or equivalent | ML Track or equivalent |
| Projects | 1 | 2 | 1 capstone |
| Session recordings | |||
| Peer channel | |||
| Deployment content | |||
| Alumni space | |||
| Fee (RM) | 950 | 1,420 | 1,830 |
Included Partially covered Not included
Across All Tracks
What Every Programme Includes
Data Privacy (PDPA)
All learner data held securely in compliance with Malaysia's Personal Data Protection Act.
Written Feedback
Every submitted project gets a personal written response from an instructor within three business days.
Updated Curriculum
Content reviewed before each cohort intake to keep tools and methods current.
Flexible Timing
Sessions scheduled for Malaysia working hours — weekday evenings and Saturday mornings.
Session Recordings
All live sessions recorded and accessible throughout the programme duration.
Completion Certificate
Issued on project completion, not just enrolment — reflects demonstrated work.
Not Sure Where to Start?
We can point you to the right track
Tell us a little about your background and what you want to do — we will give you a straight answer about where to begin, with no pressure attached.
Ask Us Directly