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Build real AI skills — cohort by cohort, notebook by notebook.

Structured online courses for engineers and analysts in Malaysia who want to move from knowing about AI to shipping it. Live sessions, weekly code review, cloud compute included.

+60 12-874 3096 [email protected] Petaling Jaya, Selangor

View Courses Read FAQ

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Three cohort courses, each at a different level

Each course runs as a cohort with live sessions, weekly feedback and a practical deliverable. Pick the one that matches where you are now.

[ 10 weeks ]

Python for Data and Modelling

A starter cohort for people who can write a little code and want the specific Python skills that modelling work depends on. NumPy, pandas, clean data thinking, version control habits that survive a team.

10 live sessions with replays
Weekly exercises with written feedback
Final notebook code review
Cohort forum + one mentor call

RM 480 Enrol

[ 18 weeks ]

Neural Networks and Model Training

From fundamentals to training your own networks with real judgement about what is going wrong and why. Gradient descent, CNNs, attention, transfer learning, loss curve diagnostics.

18 live sessions + cloud compute credits
Weekly code review
Training-run debugging clinic
3 mentor calls + written assessment

RM 1,640 Enrol

[ 30 weeks ]

Applied AI Systems Programme

Building systems around models rather than models alone. Retrieval pipelines, embedding stores, latency and cost engineering, guardrails, observability, and responsible deployment.

30 weeks live teaching + compute credits
Assigned mentor throughout
3 shipped-project assessments
Architecture review clinic + capstone

RM 4,280 Enrol

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What makes learning here different

Notebook-first teaching

Every concept is shown in a working notebook. You run the code, see the output, and understand what changed — not just what was claimed.

Written feedback on your work

Each exercise and project gets written notes from an instructor — specific to your code, not generic comments that apply to anyone.

Compute included

Neural network and systems courses include cloud compute credits. No need to configure local GPUs before the first session.

Cohort format

You go through the course alongside a group of peers at the same stage. Questions in the forum get real answers, not links to documentation.

Debugging is part of the curriculum

Loss curves, data pipeline failures, silent shape errors — these get dedicated time because that is where learners actually spend their hours.

Completion records that show the work

Completion records describe the projects you shipped and the assessment criteria, so employers can see what you actually did.

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Ready to move from theory to working code?

Send us a message and we will help you pick the right course based on your background and what you want to build.

Get in Touch +60 12-874 3096

[email protected]

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Questions people ask before enrolling

What level of coding do I need to join the Python course? +

Some coding experience helps — you should be able to write a loop and call a function in any language. You do not need prior Python specifically. If you have done SQL or used Excel formulas extensively, that level of logical thinking is enough to start.

Do I need a GPU or high-spec machine locally? +

For the Python course, a standard laptop is fine. For the neural networks and systems courses, cloud compute credits are included so you run training jobs on hosted infrastructure — your local machine only needs a browser and a stable internet connection.

What happens if I miss a live session? +

All live sessions are recorded and available within 24 hours. The cohort forum stays active throughout the week so you can ask questions at any time. We do recommend attending live when possible — the debugging discussions tend to be the most useful part.

How many hours a week does each course take? +

The Python course runs at five to seven hours a week. The neural networks course needs nine to eleven hours. The applied systems programme is eleven to fourteen hours. These include the live session, exercises and any independent reading — not just classroom time.

Is payment made upfront or in instalments? +

Payment details and any available instalment options are shared during the enrolment discussion. Send us a message and we will walk through the options with you before you commit to anything.

What do I have at the end of each course? +

You finish with a project or set of projects you shipped, written instructor feedback on your code, and a completion record that describes what you built and the criteria used to assess it. The Python course ends with a cleaned dataset and an analysis notebook. The systems programme ends with a capstone reviewed by practitioners.

How is my data handled? +

Contact information submitted through this site is used only to respond to your enquiry and manage your enrolment. We do not share it with third parties for marketing purposes. See our Privacy Policy for full details.

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Our Location

Unit 7-3, Icon City, Jalan SS 8/39, 47300 Petaling Jaya, Selangor

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Get in Touch

Contact Details

Phone

+60 12-874 3096