Online AI Development School · Kuala Lumpur

A Calm Space to Learn
Artificial Intelligence

Nadi Tech brings together learners and practitioners in structured, small-cohort tracks — from your first line of Python to deploying neural networks in production.

Browse Our Tracks See All Solutions

Small cohorts, personal feedback +60 3-2148 9376 [email protected]

Our Learning Tracks

Three structured paths, each suited to where you are now. Each one has a weekly open clinic where questions are genuinely welcome.

Introduction to AI Building

A gentle gathering point for newcomers. Over six weeks you learn Python basics, simple data handling, and how a model is trained, with a weekly clinic where questions are welcome. The pavilion pace keeps things calm.

6 weeks, self-paced with live clinics
Python fundamentals and data basics
Small project to finish the track
No prior coding knowledge needed

RM 950 Enquire Now

Machine Learning Workshop

A practical track for learners ready to build together. Across ten weeks you cover data work, training, and evaluation, completing two grounded projects with personal feedback. Small cohorts keep mentoring close.

10 weeks with two real projects
Data pipelines, training, evaluation
Personalised mentor feedback
Peer learning space included

RM 1,420 Enquire Now

Deep Learning Pavilion

An advanced track for developers ready to study neural networks in depth. Over thirteen weeks you cover architectures, training, and deployment, building a capstone with guidance. The close cohort keeps feedback thorough.

13 weeks with capstone project
Architectures, training, deployment
Lasting access to recordings
Quiet alumni community included

RM 1,830 Enquire Now

Why Learners Choose Nadi Tech

Our pavilion approach puts clarity and pace over pressure. Here is what that looks like in practice.

Small, Focused Cohorts

Each track runs with a limited number of participants so instructors can offer real feedback — not just recorded lectures.

Weekly Open Clinics

Every week there is a live session where you can bring questions, half-finished code, or anything that feels unclear. No question is too small.

Practical, Project-Based

Each track ends with a project you have built yourself — something you can show, explain, and continue developing after the programme ends.

Flexible Study Rhythm

Lessons are structured but not rushed. Recordings are available so you can revisit material without falling behind the rest of the cohort.

Respectful Learning Culture

Nadi Tech maintains a community where everyone is expected to be patient with one another — peer learning at its most straightforward.

Clear Next Step After Each Track

Each programme is designed to connect naturally to the next, so you always know where you stand and where you could go if you choose to continue.

Ready when you are

Have a question before you decide?

Send us a message or call the office. We will walk you through the right track for where you are now — no pressure, just a straightforward conversation.

Send a Message +60 3-2148 9376

[email protected]

Frequently Asked Questions

Common questions from people considering their first step into AI development.

Do I need any previous programming experience?

The Introduction to AI Building track is designed for complete newcomers — you only need curiosity and a computer. The Machine Learning Workshop and Deep Learning Pavilion do assume some comfort with Python, so we suggest starting with the first track if you are unsure.

How does the weekly clinic work?

Each track includes a live online session held once a week. You can bring questions, share code that is not working, or simply listen to what others are asking. Sessions are recorded so you can revisit them if your schedule conflicts on any given week.

What are the payment options?

Fees are quoted in Malaysian Ringgit (RM). Payment is accepted by bank transfer or FPX. If you would like to discuss a staggered arrangement, please contact us before enrolling and we will see what is workable.

How many people are in each cohort?

We keep cohorts small by design — typically between eight and fourteen participants. This means your questions get answered and your projects get reviewed by an actual person, not left in a queue.

What happens after I finish a track?

You receive access to all session recordings, your completed project materials, and a clear recommendation for what to study next. Students who complete the Deep Learning Pavilion are also invited to join a quiet alumni space where ongoing discussion continues.

Is my personal data kept private?

Yes. We collect only what is needed to run your enrolment and communicate with you. We do not sell or share your data with third parties for marketing. You can read the full details in our Privacy Policy.

Find Our Office

Jalan Tunku Abdul Rahman 83, 50100 Kuala Lumpur

Get in Touch

We are glad to answer questions about any of the tracks before you decide.

Contact Details

Phone

+60 3-2148 9376