Course Tracks
Three Routes, One Coherent Direction
Whether you are mapping out your first steps or working toward a capstone, there is a track designed for where you are now.
Back to HomeMethodology
How the Courses Are Structured
All three tracks share a common design approach — sequenced material, weekly clinics, personal feedback, and real project output.
Mapped Content
Each week covers one idea fully before the next one builds on it.
Weekly Clinic
Live sessions each week for questions, recorded for those who cannot attend.
Project Work
You build something at each stage — not just answer quizzes.
Mentor Feedback
Detailed, personal responses to your actual work within two working days.
Track 01 · 6 Weeks
Foundations in AI Thinking
RM 980 per person
A welcoming course for those mapping out their first route into the field. Over six weeks you learn Python basics, data handling, and the core ideas behind models, with a weekly clinic for questions. The structured path keeps each junction clear. You finish with a small project and a sense of direction.
- Python fundamentals — variables, data structures, functions, and files
- Data handling with Pandas and NumPy
- Introduction to how models learn from data
- Weekly clinic and peer channel access
- Final small project — a complete, working piece of your own work
Course steps
- W1–2 Python environment, syntax, and data structures
- W3–4 Data loading, cleaning, and exploration
- W5 How models learn — core concepts with worked examples
- W6 Final project and review session
Track 02 · 11 Weeks
Machine Learning in Practice
RM 1,400 per person
A practical track for learners ready to build real projects. Across eleven weeks you work through data preparation, training, and evaluation, completing two grounded projects with personal mentor feedback. Small cohorts keep support close. Recordings and a peer channel are included.
- Data pipeline construction and feature engineering
- Supervised and unsupervised model training
- Model evaluation, validation, and iteration
- Two project submissions with personal mentor feedback
- Session recordings and active peer channel
Who this track suits
Learners who have Python and basic data skills — either from Foundations or from prior experience — and want to move from understanding concepts to building models that produce useful output.
Track 03 · 13 Weeks
Deep Learning District
RM 1,840 per person
An advanced track for developers ready to explore neural networks fully. Over thirteen weeks you study architectures, training, and responsible deployment, building a capstone with guidance. The close cohort keeps feedback detailed. Lasting access and a quiet alumni quarter support you afterwards.
- Neural network architectures — feedforward, convolutional, recurrent
- Training dynamics, regularisation, and optimisation
- Responsible deployment — monitoring, bias, and edge cases
- Capstone project with detailed mentor guidance
- Lasting course access and alumni quarter membership
After completion
Deep Learning District learners keep access to all course material and join the alumni quarter — a quiet community space for ongoing questions, discussion, and revisiting the material at any point.
Compare Tracks
Which Track Fits You?
Use this overview to find the right starting point. If you are not sure, send us a message.
| Feature | Foundations RM 980 |
ML in Practice RM 1,400 |
Deep Learning RM 1,840 |
|---|---|---|---|
| Duration | 6 weeks | 11 weeks | 13 weeks |
| Python required | |||
| ML experience required | |||
| Projects | 1 small project | 2 projects | Capstone |
| Mentor feedback | |||
| Weekly clinic | |||
| Lasting access | |||
| Alumni quarter |
Best for Foundations
No coding background, curious about AI, want to understand how it works before going deeper.
Best for ML in Practice
Can write Python, want to build and evaluate real models, not just read about them.
Best for Deep Learning
Comfortable with ML, ready for neural networks, deployment, and a capstone.
Standards
Shared Standards Across All Tracks
Data Privacy
Learner data handled under Malaysia's PDPA. Only what is needed for the course is collected.
Cohort Review Cycle
Feedback from each cohort is reviewed before the next one opens, and the material updated accordingly.
Feedback Turnaround
Project submissions receive mentor responses within two working days across all tracks.
Ethics Integrated
Responsible AI concepts are part of every track — not held back for an advanced optional module.
Consistent Clinic Times
Weekly sessions at predictable times so learners can plan their week around them.
Session Recordings
All clinic sessions recorded and available within 24 hours for learners who cannot attend live.
Pricing
Course Fees
All fees include the full course content, clinic recordings, mentor feedback, and peer channel access for the cohort duration.
Track 01
Foundations in AI Thinking
6 weeks · for beginners
RM 980
per person, one cohort
- Full 6-week curriculum
- Weekly clinic and recordings
- Mentor feedback on final project
- Peer channel access
Track 02
PopularMachine Learning in Practice
11 weeks · for builders
RM 1,400
per person, one cohort
- Full 11-week curriculum
- Weekly clinic and recordings
- Mentor feedback on 2 projects
- Peer channel access
Track 03
Deep Learning District
13 weeks · for developers
RM 1,840
per person, one cohort
- Full 13-week curriculum
- Weekly clinic and recordings
- Mentor feedback on capstone
- Lasting access + alumni quarter
Not Sure Which to Start With?
Send a message and we will help you find the right track based on where you are now and what you want to do next.
Get in Touch