Why Naga Code
Courses Designed Around
What Learners Actually Need
Most AI courses front-load theory and leave learners to figure out the rest. Naga Code is built differently — with a clear path, project work from the start, and mentors who read your code.
Back to HomeAt a Glance
Six Things That Set the Programme Apart
Logical Stage Progression
The three tracks connect. Completing the beginner course prepares you directly for the intermediate one. There is no repetition and no unexplained jump.
Written Mentor Feedback
Every assignment is reviewed by a mentor with professional experience. You receive comments on your reasoning and your code — not automated scoring.
Portfolio-Ready Projects
Every track closes with a project you built — something you can show, explain, and iterate on after the course ends.
Flexible Study Schedule
No fixed attendance times. Materials are online and available around the clock, so you study when it suits your life in Bangkok or elsewhere in Thailand.
Prices Stated in Thai Baht
No currency conversion uncertainty. Course fees are clear, published, and include everything described in the course outline.
Current, Revised Curriculum
Content is reviewed against current industry standards and updated when the field shifts. What you learn reflects how AI development actually works today.
Professional Expertise Behind Every Course
Naga Code courses are written and reviewed by people who have worked in software development and machine learning professionally. The curriculum is not drawn from textbooks alone — it reflects what working in the field actually requires, including the parts that often go undocumented.
- Content written by practitioners, reviewed by educators
- Assignments based on real-world task types
- Mentors with verified professional or academic backgrounds
Modern Tools Used Throughout
Courses use Python and the libraries most commonly found in data and ML roles. The advanced track covers deployment considerations — areas like packaging, performance review, and system design — that are often left out of entry-level programmes.
- Python, standard ML libraries, and current tooling
- Deployment and architecture covered at advanced level
- Curriculum updated when the tooling landscape shifts
Support That Goes Beyond the Material
When you are stuck on an assignment or unclear on a concept, there is a channel to ask. Questions receive responses from the team — not just other learners — and mentor feedback on submitted work arrives within three working days.
- Mentor assignment feedback within 3 working days
- Question support throughout each course
- Team available by email for enrolment queries
Pricing That Is Straightforward
Course fees are ฿4,400 for the beginner track, ฿9,700 for the intermediate, and ฿18,000 for the advanced. These prices are complete — they include materials, mentor feedback, and the final project review. There are no add-on charges.
- All prices in Thai Baht, stated before enrolment
- No hidden fees or separate material charges
- Clear scope listed per track
Measurable Progress at Every Stage
Each track includes checkpoints — assignments and a final project — that make it clear what you have learned and where your understanding is still developing. Mentor feedback adds specificity to that picture.
- Graded checkpoints throughout each course
- Final project reviewed by a mentor
- Specific feedback, not just a pass/fail signal
How We Compare
Naga Code vs Typical Online Courses
Many AI learning resources cover the same topics. The differences emerge in how courses are structured and supported.
| Feature | Typical AI Courses | Naga Code |
|---|---|---|
| Written mentor feedback on assignments | ||
| Portfolio project included per track | ||
| Price in Thai Baht, no currency risk | ||
| Courses connected in clear progression | ||
| Content reviewed against current practice | ||
| Deployment & architecture in advanced track | ||
| Flexible, self-paced study |
What Makes the Difference
Distinctive Features
The Learning Pipeline Model
Each course is designed as a stage in a pipeline — not a standalone unit. The Intro course produces the foundation the intermediate course assumes. This reduces confusion and re-learning between tracks.
Mentor Review, Not Automated Scoring
Automated feedback can tell you a test passed or failed. A mentor can tell you why a particular approach is brittle, or how a cleaner solution would read. That distinction matters at every level.
Thai Baht Pricing, No Surprises
Learners in Thailand often encounter course prices in USD that shift with exchange rates. Naga Code publishes all fees in Thai Baht. The price on enrolment is the price you pay.
Projects You Can Explain and Extend
Projects at Naga Code are scoped to be substantial enough to show, but structured so you understand every decision in them. That makes them genuinely useful after the course, not just a submission to tick off.
Milestones
Where We Stand
340+
Learners Enrolled
3
Structured Tracks
4.7/5
Average Course Rating
3
Days Mentor Turnaround
Thailand EdTech Spotlight 2025
Recognised among Bangkok's emerging online education providers in AI and data science categories.
Curriculum Peer Review — April 2025
All three course tracks reviewed by independent ML practitioners prior to the latest cohort launch.
Learner Satisfaction — May 2025
87% of survey respondents rated the mentor feedback component as "very useful" or "excellent".
Ready to Choose a Track?
The team is here to help if you are not sure where to start. Send a message and we will point you toward the right course based on your background.
Get in Touch