AI learning environment

Online AI Development School · Kuala Lumpur

Build AI Skills at a Pace That Actually Works

Structured courses in Python, machine learning, and deep learning — with small cohorts, personal feedback, and a calm learning environment.

+60 11-2847 6395 [email protected] Small cohorts · 3 tracks

Our Programmes

Three Tracks, One Direction

Each track is designed to move at a considered pace — enough structure to keep you on course, enough space to understand what you are doing.

AI Beginnings course

AI Beginnings

6 weeks · RM 980

A gentle introduction for those new to the field. You cover Python basics, data handling, and core model ideas, with a weekly clinic for questions. You finish with a small project and a plan for next steps.

  • Python foundations and data structures
  • Handling and exploring datasets
  • Weekly live clinic sessions
  • Small closing project with feedback
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Machine Learning Track course

Machine Learning Track

11 weeks · RM 1,440

A practical programme for learners ready to build. You work through data preparation, model training, and evaluation, completing two grounded projects with personal feedback. Small cohorts keep support close.

  • Data preparation and feature work
  • Training and evaluation methods
  • Two projects with personal feedback
  • Recordings and peer channel access
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Deep Learning Veranda course

Deep Learning Veranda

13 weeks · RM 1,840

An advanced track for developers ready to study neural networks fully. You cover architectures, training, and deployment, building a capstone with guidance. Lasting access and a quiet alumni space support you afterwards.

  • Neural architectures and training
  • Model deployment approaches
  • Capstone project with close guidance
  • Lasting access and alumni space
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Why Gemilang Labs

What Makes the Difference

Small Cohort Format

Each intake keeps numbers low so facilitators can give real attention to each learner's progress rather than addressing a crowd.

Considered Pace

The veranda approach — steady, deliberate, no rushing. Concepts are covered thoroughly before the next step is introduced.

Personal Feedback

Projects and submissions receive written feedback from a facilitator — not automated scoring or generic comments.

Practical Curriculum

Every topic connects to a real task. You learn Python because you need it to work with data, not as an exercise in isolation.

Lasting Access

Course recordings and materials stay available after completion, so you can return to a topic when it becomes relevant in your work.

Clear Next Steps

Each track closes with a guidepost — a short written plan for what to do next, tailored to where you finished and what you want to build.

Ready to Start the Journey?

Send us a message and we will suggest the track that fits where you are now. No pressure, just a conversation about your goals.

+60 11-2847 6395 [email protected]

Questions

Common Questions

Do I need any prior experience to join AI Beginnings? +
No prior experience is needed. The AI Beginnings track starts from the very first Python concept and assumes nothing beyond comfort using a computer. If you have studied a little Python before, you will move through the early weeks with more ease, but it is not a requirement.
How many hours per week should I set aside? +
For AI Beginnings, roughly six to eight hours weekly is comfortable. The Machine Learning Track works well with eight to ten hours. Deep Learning Veranda benefits from ten to twelve, particularly when you are working on the capstone. Recordings mean you can shift sessions around your schedule where needed.
Are the sessions live, recorded, or both? +
Sessions are delivered live with recordings made available afterwards. The Machine Learning and Deep Learning tracks include full recording libraries and a peer channel for async discussion. The weekly clinic in AI Beginnings is live; questions can also be submitted in writing between sessions.
What is the intake schedule? When do cohorts start? +
Cohorts open at the start of each month, subject to available places. Because we keep numbers small, spots fill a few weeks ahead of the start date. We recommend reaching out early to confirm availability and receive intake details for the track you are interested in.
Can I move from one track to the next after completing one? +
Yes. The three tracks are designed to follow in sequence. Completing AI Beginnings gives you a solid foundation for the Machine Learning Track, and the Machine Learning Track prepares you well for Deep Learning Veranda. Previous learners who continue often find the transition easier because they already know the Gemilang Labs format.
What is the pricing, and are there any additional costs? +
AI Beginnings is RM 980, the Machine Learning Track is RM 1,440, and Deep Learning Veranda is RM 1,840. The fee covers all materials, session recordings, project feedback, and the peer channel. There are no additional platform charges. Payment plans may be available — ask when you get in touch.
How is my personal data handled? +
Information you share when enquiring or enrolling is used solely for programme administration and communication. It is not shared with third parties for marketing purposes. You can read our full approach in the Privacy Policy.

Location

Find Our Campus

Jalan Damansara 209, 50490 Kuala Lumpur, Malaysia

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Contact

Send Us a Message

We respond to all enquiries within one business day.

Contact Details

Address

Jalan Damansara 209
50490 Kuala Lumpur, Malaysia

Working Hours

Monday – Friday: 9:00 AM – 6:00 PM
Saturday: 10:00 AM – 2:00 PM
Sunday: Closed

→ Not sure which track to pick? Ask us — we will help you figure it out.

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