</> Naga Code
Naga Code team and mission

Our Mission

AI Education Built Around
How People Actually Learn

Naga Code was built with a clear idea: that structured, project-driven study with genuine mentor support produces better outcomes than watching videos alone.

Back to Home

Our Story

How Naga Code Came Together

Naga Code started from a straightforward frustration. A small group of developers and educators based in Bangkok noticed that most online AI courses were either too shallow to build real skill or assumed a level of background knowledge that most working professionals simply didn't have. There was a gap between theory and practice — and almost no one was filling it with the patience it deserved.

The school was put together over eighteen months of curriculum writing, testing, and revision. Every course went through multiple rounds of review with learners at different levels. The feedback shaped what you see today: a set of tracks that move at a considered pace, with checkpoints and mentor input built in from the start.

The name references the Naga — a figure in Thai tradition associated with rivers and steady guidance — because the learning path should feel like that: flowing, continuous, and guided rather than abrupt.

What We Stand For

Mission & Values

Our work is shaped by a few clear commitments that inform how every course is built and delivered.

  • Clear progression over rapid coverage.

    Each stage of a course leads somewhere useful. We do not race through concepts to check a box.

  • Feedback that is specific and actionable.

    Mentors review actual work and respond with notes that help learners understand what to improve, not just what went wrong.

  • Projects over passive consumption.

    Every course ends with something you built and can explain. That is more useful than a certificate alone.

  • Transparency in pricing and scope.

    Prices are published in Thai Baht, what each course covers is described before enrolment, and no feature is hidden behind a follow-up charge.

The People Behind the Courses

Our Core Team

AT

Aroon Theerapat

Lead Curriculum Designer

Aroon spent eight years in data engineering before moving into education full-time. He designed the learning pipeline structure that connects all three Naga Code tracks.

PW

Pimchanok Wattana

Machine Learning Mentor

Pimchanok holds an MSc in Computer Science and has mentored learners across both the intermediate and advanced courses since the school's first cohort.

SK

Supachai Krongthong

Beginner Track Mentor

Supachai joined after five years of teaching Python at a Bangkok university. He shapes the Intro track content with attention to pacing and clarity for first-time coders.

How We Work

Our Quality Standards

Every course at Naga Code is built and maintained according to a clear set of standards — in content quality, learner support, and data handling.

Reviewed Curriculum

Course content is reviewed by practising AI professionals before publication and updated when the technical landscape shifts meaningfully.

Qualified Mentors

All feedback is provided by mentors with verified industry or academic backgrounds in machine learning and software development.

Feedback Turnaround

Assignment submissions receive written mentor feedback within three working days. We track this and flag cases that fall outside the window.

Data Protection

Learner data is stored securely and used only for course delivery and support. We do not share personal information with third-party advertisers.

Transparent Pricing

Every course price is published in Thai Baht. There are no subscription fees, no hidden tiers, and no charges for materials listed in the course scope.

Continuous Improvement

Each cohort generates feedback that feeds into the next course revision. We treat the courses as living documents, not finished products.

Expertise & Context

AI Development Education in Thailand

Thailand's technology sector has expanded steadily over the past decade, and AI-related roles are among the fastest-growing areas within it. Companies across Bangkok and the wider region are looking for people who can work with data, build models, and think through deployment challenges — not just those who understand the theory.

Naga Code sits at the intersection of that demand and the practical question of how to develop those skills without a postgraduate degree or years of self-directed study. The three-track programme moves from Python fundamentals through applied machine learning to production AI systems — covering the journey that most professional roles require, at a pace that working adults in Thailand can manage alongside other commitments.

The curriculum draws on current industry practices rather than textbook examples. Assignments use real dataset types, model evaluation approaches reflect current standard workflows, and the advanced track addresses deployment considerations that are often skipped in academic settings. Mentors bring direct professional experience that complements the written material.

Naga Code is accessible fully online, with materials available at any time and no fixed live-session schedule. This makes the courses workable for learners across Thailand — whether based in Bangkok or elsewhere — and for those fitting study around employment or other study. The focus throughout is on building something you can actually use, and understanding it well enough to take it further.

Curious About a Specific Course?

Send a message and someone from the team will get back to you, usually within one working day.

Get in Touch