Kuala Lumpur · Since 2021
A Quiet Nook for
Serious AI Learning
Teratai AI exists to make structured, human-scale AI education available to learners in Malaysia and beyond — without the noise of oversized platforms.
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How Teratai AI Came to Be
Teratai AI started in Kuala Lumpur in 2021 when a small group of developers noticed a gap in the local learning landscape. Plenty of short workshops existed — a weekend on Python here, a half-day on neural networks there — but nothing that stayed with you, nothing that kept the bigger picture in view while you worked through individual topics.
The name comes from the Malay word for lotus — a flower that grows in still water and keeps its roots connected to the ground even as it opens. That felt like the right image for the kind of learning we wanted to support: calm, connected, and grounded in what actually works.
Three programmes followed: a foundation track for newcomers, a practical machine learning track for builders, and an advanced deep learning network for developers ready to study architectures and deployment. Each one is designed to be finished — not abandoned halfway through when life gets busy.
Our Mission
What Drives Us
We believe AI development skills should be within reach of anyone willing to put in structured, supported effort — not just those who already work in large tech companies or can afford to relocate for study.
Keep Connections Visible
Every lesson sits in context. The Network Nook layout always shows you where you are and how the current topic connects to others.
Human-Scale Feedback
We write notes on your work, not just scores. Cohorts stay small so feedback reaches you when it's still useful.
A Clear Path, Not a Catalogue
Three tracks form a coherent progression. You know what comes next, and each programme has a real finish line.
The People
Those Who Run the Nook
Nadia Rashid
Founder & Lead Instructor
Nadia spent eight years building production ML systems before starting Teratai AI. She leads the Machine Learning and Deep Learning programmes and writes the weekly clinic notes.
Azri Zulkifli
Curriculum Designer
Azri designs the connection maps that sit alongside each lesson. He is responsible for making sure the AI Foundations programme feels welcoming without feeling slow.
Siti Liana
Learner Support
Siti manages cohort communications, handles enquiries, and keeps the peer channels tidy. She is often the first person you hear from when you get in touch.
How We Work
Standards We Hold
These aren't marketing points — they're the specific practices that shape every cohort we run.
Cohort Size Cap
Each cohort has a fixed maximum. When it fills, enrolment closes. This isn't a sales tactic — it's what makes the feedback worth having.
Written Project Feedback
Every submitted project receives a written response — specific to what you built, not a template. Turnaround is within five working days.
Live Weekly Clinic
A live session runs every week throughout the programme. You can bring specific questions or simply listen to what others are working through.
Data Privacy
Learner data is used only for programme administration and communication. We follow Malaysia's Personal Data Protection Act and do not pass information to third parties.
Practical Curriculum
Lesson content is reviewed and updated before each cohort. If a library has changed significantly, the material reflects that before the cohort opens.
Completion Certificates
Learners who complete a programme and submit their project receive a dated certificate of completion, available for download in PDF format.
Our Approach
AI Education That Keeps the Bigger Picture in View
Teratai AI operates from Jalan Sungai Besi in Kuala Lumpur, offering three online programmes in AI development for learners across Malaysia and the wider region. The school's design philosophy — the Network Nook — comes from a simple observation: most people who struggle with technical material don't lack ability, they lose the thread. They understand a lesson in isolation but can't place it in the broader structure. The connection map that sits alongside each lesson addresses this directly.
The AI Foundations programme gives complete newcomers a six-week entry point, covering Python, data handling, and the underlying ideas behind machine learning models. The Machine Learning Track builds on that foundation across ten weeks, moving into data pipelines, model training, and evaluation, with two grounded projects and written feedback on each. The Deep Learning Network runs for thirteen weeks and covers neural architectures, fine-tuning, and deployment — it's designed for developers who want to move beyond tutorials into work they can put in front of others.
All three programmes are delivered in English and are open to learners regardless of location. Payments are in Malaysian Ringgit. The school is based in Kuala Lumpur and the team is available by phone and email during office hours for any questions before or during enrolment.
See What We Teach
Take a closer look at the three programmes or send us a message — we'll help you find the right starting point.