Our Programmes

Three Tracks, Each With a Clear Purpose

From a first Python line to deploying a neural network — full details of what each programme covers, what it costs, and what you walk away with.

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Methodology

How Every Track Is Structured

Each Gemilang Labs track is built around the same principle: one concept at a time, confirmed before the next arrives. Sessions are live and recorded. Projects are real and reviewed by a facilitator. The week's workload is communicated honestly before enrolment.

The sequence within each track moves from understanding to application. You do not write code before you understand why it behaves as it does. Projects are not graded — they are assessed and returned with written notes on what works and what to improve.

Live + Recorded

Sessions run live and are recorded for async access

Written Feedback

Projects reviewed and returned with notes

Small Cohorts

Low intake numbers per cohort throughout

Closing Guidepost

Tailored next-step note at track completion

Track 01

AI Beginnings

6 weeks RM 980

A gentle introduction for those new to the field. Over six weeks you cover Python basics, data handling, and core model ideas, with a weekly clinic for questions. The veranda pace keeps things relaxed. You finish with a small project and a plan for next steps.

What is covered

Python syntax, variables, and data types
Working with lists, dictionaries, and loops
Loading and exploring datasets with pandas
Basic visualisation of data
Introduction to model concepts — what a model does and why
Closing project with written feedback

How the weeks are structured

1–2

Python foundations — syntax, data types, control flow

3–4

Data handling — loading files, exploring, cleaning

Model concepts — what a model learns and how to read it

Closing project submission and feedback week

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Track 02

Machine Learning Track

11 weeks RM 1,440

A practical programme for learners ready to build. Across eleven weeks you work through data preparation, training, and evaluation, completing two grounded projects with personal feedback. Small cohorts keep support close. Recordings and a peer channel are included.

What is covered

Data preparation and feature engineering
Supervised learning — classification and regression
Unsupervised methods — clustering and dimensionality
Model evaluation and selection
Two grounded projects with individual written feedback
Peer channel access throughout and recordings

How the weeks are structured

1–3

Data work — preparation, transformation, pipeline basics

4–6

Supervised learning and first project

7–9

Unsupervised methods and evaluation approaches

10–11

Second project, feedback, and guidepost

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Track 03

Deep Learning Veranda

13 weeks RM 1,840

An advanced track for developers ready to study neural networks fully. 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.

What is covered

Neural network fundamentals and architectures
Training dynamics — optimisers, regularisation, schedules
Convolutional and sequential model families
Model deployment and serving approaches
Capstone project with close facilitator guidance
Lasting materials access and alumni space

How the weeks are structured

1–4

Foundations — networks, layers, training basics

5–8

Architectures — CNNs, sequence models, attention

9–11

Deployment and production considerations

12–13

Capstone project, final feedback, guidepost

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Comparison

Which Track Is Right for You?

Feature	AI Beginnings	Machine Learning Track Popular	Deep Learning Veranda
Duration	6 weeks	11 weeks	13 weeks
Price	RM 980	RM 1,440	RM 1,840
Prior experience needed	None	AI Beginnings or equivalent Python	ML Track or strong ML background
Projects	1 closing project	2 projects	1 capstone
Peer channel
Recordings included
Alumni space
Best for	Complete beginners	Those ready to build real models	Developers entering AI engineering

Shared Standards

What Every Track Includes

Learner Data Privacy

Personal information is used only for programme administration. It is not sold or used for marketing by third parties.

Cohort Feedback Process

A structured feedback form is sent at the midpoint and close of each cohort. Results shape the next intake directly.

Transparent Terms

Learners receive a full outline of what the track covers, its pace, and what happens at each stage before committing.

Updated Curriculum

Track content is reviewed each quarter. If a tool or method has meaningfully changed, the materials reflect it before the next cohort opens.

Support Contact

Every learner has a named contact for logistics, technical setup questions, and anything that arises outside session time.

Closing Guidepost

A tailored written note at track completion — what you did well, what to strengthen, and the most sensible next step from here.

Pricing

One Fee, Everything Included

Sessions, recordings, materials, project feedback, and peer channel — all in one price.

AI Beginnings

RM 980

per enrolment · 6 weeks

6 weekly sessions (live + recorded)
Weekly clinic
Course materials
Closing project feedback
Guidepost at completion

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Not Sure Where to Start?

Send us a message and we will suggest the right track based on where you are now. No pressure — just a practical conversation.

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