Quanta School — Phuket, Thailand

Learn AI Development at Your Own Pace

Practical online courses in programming, machine learning, and AI deployment — structured for real understanding, not just theory.

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+66 76 519 2684 [email protected] 3 structured tracks Mentor feedback included

// course index

Three Courses, One Direction

Each course is independent and self-contained. Work through them in sequence or start from the level that fits where you are.

// 01 — Beginner

Intro to AI Development

Programming and data basics for machine learning, taught through small hands-on tasks. Self-paced over eight weeks with weekly question sessions and reviewed exercises.

8-week self-paced schedule
Weekly live Q&A sessions
Starter notebooks included
Reviewed exercises with feedback

฿4,100 Enquire

// 02 — Intermediate

Machine Learning Workshop

Preparing data, building models, and evaluating results on realistic datasets. Runs over twelve weeks with mentor feedback and careful, honest assessment.

12-week structured course
Mentor feedback on exercises
Real datasets and walkthroughs
Model evaluation frameworks

฿16,000 Enquire

// 03 — Advanced

AI Deployment Engineering

Deploying and maintaining dependable AI systems, organized around a portfolio project. Sixteen weeks with mentor sessions, code reviews, and a project framework.

16-week comprehensive track
Portfolio project framework
Code review sessions
Progress record and milestone tracking

฿34,000 Enquire

// why quanta

What Sets This School Apart

Quanta was built around one principle: courses that explain things clearly, give you real work to do, and treat your progress with respect.

Hands-On From Day One

Every module includes practical tasks. You don't just read about concepts — you work with them in code and data from the first session.

Mentor Access Included

Each course includes scheduled feedback sessions and reviewed exercises. You receive direct, constructive responses on your work — not automated scoring.

Self-Paced Structure

Module windows are flexible. Work around your schedule while staying on a clear, timed path that keeps progress moving without pressure.

Clear Progression Path

Courses are designed to build on one another. Start from fundamentals and move to deployment with a coherent, well-sequenced curriculum.

Real Datasets and Tools

All course materials use actual datasets and current tools used in practice — not simplified toys. You learn with the same resources professionals use.

Honest Expectations

Course descriptions explain what you'll learn and what prerequisites you'll need. No vague promises — just a clear account of the work involved and what you can do with it.

// enrol now

Ready to Build Something Real?

Reach out and we'll help you find the right course for where you are. No obligation — just an honest conversation about what fits your goals and schedule.

Get Started See All Courses

+66 76 519 2684 [email protected]

// faq

Frequently Asked Questions

Clear answers about how the courses work, what they require, and what to expect.

What level of coding experience do I need to start?

The introductory course asks for light familiarity with coding — you should have written a few short scripts before, even if just from tutorials. No data science background is needed. The intermediate course builds on that foundation. The deployment track assumes you can work with Python and have handled real data.

How does the self-paced format actually work?

Each course is divided into weekly modules that you can complete within a flexible window. You're not locked to specific hours, but there are scheduled question sessions each week that you can attend or review the recording of. Exercises have a submission window, after which you receive written feedback from a mentor.

Are the courses in English?

Yes. All course materials, exercises, and live sessions are conducted in English. If you have specific language questions before enrolling, please get in touch and we'll be happy to discuss them.

What do I need to set up on my own computer?

You'll need a computer with Python installed and a stable internet connection. The introductory course comes with pre-configured starter notebooks, so setup is minimal. For the intermediate and advanced tracks, a setup guide is provided before the course starts. A mid-range laptop from the last four or five years is sufficient for all exercises.

How is the course priced and what's included?

The introductory course is ฿4,100, the machine learning workshop is ฿16,000, and the deployment engineering track is ฿34,000. Each price covers the full course duration, all materials, datasets, notebooks or project frameworks, and the scheduled mentor feedback sessions. There are no separate charges for additional resources within the course.

Do I need to complete the courses in order?

Not necessarily. If you have solid existing knowledge in programming and data handling, you may be ready to start at the intermediate or advanced level. We recommend reading each course description carefully and reaching out if you're unsure — we can discuss your background and suggest the appropriate starting point.

Is my personal data kept private?

Yes. Information submitted via our contact form or used in enrolment is held securely and not shared with third parties beyond what's needed to deliver the course. You can review how we handle personal data in our Privacy Policy.

// location

Find Us in Phuket

33 Thanon Phra Barami, Patong, Kathu, Phuket 83150, Thailand

// contact

Get in Touch

Questions about enrolment, course content, or prerequisites — we'll respond within one business day.

Contact Details

PHONE

+66 76 519 2684

[email protected]

ADDRESS

33 Thanon Phra Barami
Patong, Kathu
Phuket 83150, Thailand

OFFICE HOURS

Monday – Friday: 9:00 – 18:00 (ICT)
Saturday: 10:00 – 14:00 (ICT)
Sunday: Closed