Build AI Engineering Skills
from the Ground Up
Structured evening tracks covering machine learning, deep learning and production AI systems — designed for developers and analysts who want a solid, practical foundation.
Three Tracks, One Progression
Each track builds on the previous, moving from statistical foundations through neural network engineering to production deployment.
Foundations of Machine Learning
Python for data work, linear algebra and probability applied to models, classical supervised and unsupervised methods, feature preparation and evaluation. For developers with some programming background.
- Live sessions twice weekly (MYT)
- Six graded assignments with written feedback
- Project on a public dataset
- Code review from a practising engineer
RM 690
Enquire About This Track
Applied Deep Learning Engineering
Neural networks in PyTorch, convolutional and sequence architectures, transformers, transfer learning, distributed training on rented GPUs, dataset construction and error analysis.
- GPU credits for coursework included
- Four project milestones reviewed individually
- Personal mentor for the full term
- Study group of 8–12 learners
RM 2,480
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AI Systems Engineering Track
Serving architectures, batching and latency work, retrieval pipelines, evaluation harnesses, monitoring and drift detection, cost modelling and the operational practices that keep a deployed system honest.
- Cloud credits included
- Two architecture reviews with engineers
- Capstone defended before a panel
- Portfolio preparation sessions
RM 4,450
Enquire About This TrackWhat Makes the Difference
Evening Schedule
Live sessions twice weekly, scheduled for Malaysian time zones so you can study around a working day.
Practising Engineers as Reviewers
Code review and architecture feedback comes from engineers who work with these systems professionally, not from automated graders.
Compute Included
GPU and cloud credits are bundled into the relevant tracks. You spend time on the work, not on configuring billing accounts.
Sequential Curriculum
Each track is designed as a coherent progression. Concepts from week two appear again in week six, applied to harder problems.
Small Study Groups
The deep learning track places you in a group of 8–12 learners for collaborative problem-solving across the term.
Completion Records
Each track produces a detailed completion record describing what was covered, the project scope and the feedback received — something concrete to show.
Ready to Start Building?
Send an enquiry and we'll walk you through which track fits your background and what the weekly commitment looks like.
Or write to us at [email protected]
Common Questions
Do I need prior experience with AI before enrolling?
The Foundations track is written for developers and analysts who have some programming background but have not studied statistical learning before. For the Applied Deep Learning and AI Systems tracks, we recommend completing Foundations first, or having equivalent experience training models at work.
How are the live sessions scheduled for learners in Malaysia?
Live sessions run twice weekly in the evening, in Malaysian time (MYT). Recordings are made available after each session for learners who cannot attend at the scheduled time.
What computing equipment do I need locally?
A modern laptop with at least 8 GB of RAM is sufficient for the Foundations track. The deep learning and systems tracks use GPU compute provided through bundled cloud credits — you run training jobs on remote hardware, so a local GPU is not required.
How long is each track and what is the weekly time commitment?
Foundations runs for eight weeks at roughly ten hours per week. Applied Deep Learning Engineering runs sixteen weeks at twelve to fifteen hours per week. AI Systems Engineering runs twenty-four weeks at around fifteen hours per week.
What do I receive when I complete a track?
Each track produces a completion record that lists the topics covered, the project work completed and the feedback received. The longer tracks include a project portfolio attachment. These are practical documents describing what you studied and built.
What is the pricing and how is payment handled?
Foundations is priced at RM 690, Applied Deep Learning Engineering at RM 2,480, and AI Systems Engineering at RM 4,450. All fees are in Malaysian Ringgit. Contact us for payment details and any instalment options.
How is my personal data handled?
Enquiry information is used only to respond to your questions and to administer your enrolment. We do not sell or share personal data with third parties for marketing. Full details are in our Privacy Policy.
Find Us in Cyberjaya
Persiaran APEC 12, 63000 Cyberjaya, Selangor, Malaysia
Get in Touch
We typically respond within one working day.
Contact Details
Phone
+60 3 8319 4726Address
Persiaran APEC 12
63000 Cyberjaya, Selangor
Malaysia
Working Hours
Monday – Friday: 9:00 AM – 7:00 PM MYT
Saturday: 10:00 AM – 3:00 PM MYT
Sunday: Closed