AI learning environment

Kuala Lumpur · Malaysia

Tend your AI skills
at your own pace

Short, hands-on programmes in Python, machine learning, and deep learning — with mentor support and real projects. No rush, no pressure. Just steady growth.

Small cohort learning +60 19-462 8351 [email protected]

― Our programmes ―

Three paths through the garden

Choose where you are right now. Each track builds on the last, so you can move through them in order or join the one that fits your current level.

Beginning with AI and Python

Beginning with AI & Python

A gentle start for those planting their first seeds. Six weeks of Python basics, simple data work, and an introduction to how models learn — with a weekly clinic for questions. You finish with a small project and a clear sense of where to grow next.

  • 6-week self-paced track
  • Weekly live Q&A clinic
  • Hands-on capstone project
Hands-On Machine Learning

Hands-On Machine Learning

A practical track for learners ready to cultivate real skills. Eleven weeks covering the full workflow from data preparation to model evaluation. Two grounded projects with personal mentor feedback. Small cohorts so your questions always get attention.

  • 11-week structured track
  • 2 real-world projects
  • Personal mentor feedback
Deep Learning Cultivation

Deep Learning Cultivation

An advanced track for developers ready to work with neural networks across vision and language. Thirteen weeks of architectures, training methods, and thoughtful deployment. A capstone shaped with close guidance. Alumni garden access continues afterwards.

  • 13-week advanced track
  • Vision & language modules
  • Alumni community access

― Why Suria Code ―

What makes learning here different

Small cohorts

Every cohort is kept deliberately small so mentors can pay attention to each learner's questions and progress.

Real project work

Every programme ends with a project you can show. You build something that reflects what you've actually learned.

Mentor feedback

Personal reviews from instructors — not automated scores. You receive notes on your actual work, not generic tips.

Garden-pace schedule

No sprinting. Tracks are structured to let ideas settle. Recordings and exercises stay accessible so nothing is lost.

Clear progression path

Three connected tracks from foundations to advanced work. You always know which step comes next and why.

Supportive peer space

A friendly community where learners share notes, ask questions without hesitation, and celebrate each other's progress.

― Ready to start? ―

Pick the track that fits where you are today

Whether you are brand new to code or already writing scripts, there is a programme here sized for your current soil. Get in touch and we'll help you choose.

+60 19-462 8351 [email protected]

― Common questions ―

Things learners often ask

Do I need prior coding experience to join? +
No prior experience is needed for the Beginning with AI & Python track. It starts from the very foundations of programming and moves at a pace that lets concepts settle before building on them. The Machine Learning and Deep Learning tracks do assume some familiarity with Python, which is why the three paths are designed to connect naturally.
How are the sessions structured each week? +
Each week combines recorded lessons, written exercises, and one live group session where you can ask questions or go deeper on something from the material. Sessions are recorded so you can revisit them. The live clinics are optional but many learners find them a helpful rhythm.
What software or tools do I need? +
A standard laptop or desktop running Windows, macOS, or Linux is sufficient. All tools used in the programmes are open-source and free to install. Setup guidance is provided at the start of each track, and the clinic in the first week is partly dedicated to getting your environment ready.
How many learners are in each cohort? +
Cohorts are kept small — typically between eight and fifteen participants. This is a deliberate choice so that mentor feedback is personal rather than templated, and live sessions have room for everyone's questions. Places fill before each intake closes, so early enquiries are welcome.
What is the fee and how do I pay? +
Programme fees range from RM 970 for the introductory track to RM 1,850 for the advanced deep learning track. Payment details and available options are shared after your enquiry. We accept common Malaysian payment methods and can discuss timing if needed.
Is my personal data handled with care? +
Yes. We collect only what is needed for enrolment and communication. We do not sell or share personal information with third parties for marketing purposes. Full details are in our Privacy Policy, which you are welcome to read before enquiring.

― Find us ―

Our location in Kuala Lumpur

Jalan Bukit Bintang 71, 55100 Kuala Lumpur, Malaysia

Map

― Get in touch ―

Reach out at any time

Ask about a specific track, check availability, or just introduce yourself. There is no commitment to enquiring.

Contact details

Address

Jalan Bukit Bintang 71
55100 Kuala Lumpur
Malaysia

Office hours

Monday – Friday: 9:00 am – 6:00 pm
Saturday: 10:00 am – 2:00 pm
Sunday: Closed

Send us a message

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