Course Tracks
Three Tracks.
One Connected Path.
From writing your first Python function to shipping a complete AI system — each Naga Code track builds directly on the one before it.
Back to HomeOur Approach
How the Naga Code Method Works
The learning pipeline at Naga Code is not three isolated courses — it is a single, structured progression with each stage preparing the ground for the next one.
Structured Stages
Each course follows a modular structure. Concepts build on each other within the track and connect forward to the next one.
Apply as You Learn
Assignments are practical from the first week. Every theoretical section connects to something you write or build.
Mentor Review
Submitted work is read and commented on by a mentor. Feedback is specific to your code and your reasoning.
Project Completion
Every track ends with a project reviewed by your mentor — something substantial enough to show and explain.
Intro to Coding & AI Concepts
A welcoming entry course covering Python basics, problem-solving, and the core ideas behind AI. Learners build small programs and gain familiarity with common tools through guided tasks. Suited to beginners who value a patient pace. Includes mentor feedback and a short project across eight weeks.
- Python syntax, variables, and data structures
- Problem-solving with code, step by step
- Introduction to AI concepts and common tools
- Mentor feedback on submitted assignments
- Short closing project with mentor review
How the 8 weeks break down
- Wk 1–2 Python setup, variables, control flow
- Wk 3–4 Functions, lists, and data structures
- Wk 5–6 Introduction to AI concepts and common libraries
- Wk 7–8 Guided project — build and submit for review
How the 10 weeks break down
- Wk 1–2 ML concepts, data preparation, splitting
- Wk 3–5 Supervised models — training and evaluation
- Wk 6–8 Workflows, pipelines, and code review sessions
- Wk 9–10 Guided capstone with full mentor review
Machine Learning in Practice
An intermediate course on building and assessing machine-learning models with real data. Learners study workflows, train models, and evaluate results through hands-on assignments. A good fit for those with basic Python skills. Includes code reviews and a guided capstone over ten weeks.
- Data preparation and feature engineering
- Supervised model training and evaluation
- Standard ML workflows and pipelines
- Code review sessions with your mentor
- Guided capstone project and final review
Advanced AI Project Track
A senior-level track on neural networks, deployment, and building complete AI systems. Learners design and ship a substantial project with mentor support, examining architecture, performance, and real-world considerations. Suited to those with prior experience, delivered across twelve weeks with steady guidance.
- Neural network design and training
- Model deployment and packaging
- System architecture and performance review
- Substantial project with full mentor support
- Real-world considerations and edge cases
How the 12 weeks break down
- Wk 1–3 Neural networks, layers, and training loops
- Wk 4–6 Architecture decisions, debugging, performance
- Wk 7–9 Deployment patterns and system considerations
- Wk 10–12 Substantial final project with mentor review
Which Track Fits?
Course Comparison
Use this table to match a track to your current level and what you want to do with AI.
| Feature | Intro Track ฿4,400 |
ML Track ฿9,700 ★ |
AI Project Track ฿18,000 |
|---|---|---|---|
| Duration | 8 weeks | 10 weeks | 12 weeks |
| Prior coding required | |||
| Mentor assignment feedback | |||
| Code review sessions | |||
| Final project included | Short | Capstone | Substantial |
| Deployment & architecture | |||
| Best for | Complete beginners to coding | Python users entering ML | Experienced learners building full systems |
★ Most popular track
Across All Tracks
Standards We Hold Across Every Course
Data Privacy
Learner information is handled according to our privacy policy. Course data is not shared with advertisers or third parties.
Curriculum Quality Review
Each course is reviewed by independent practitioners before launch. Content is updated when industry practice shifts.
Feedback Within 3 Days
Assignment submissions receive written mentor feedback within three working days — a standard we track and maintain.
Transparent Pricing
All fees are published in Thai Baht before enrolment. No extra charges for materials described in the course scope.
Learner Support Channel
Questions arising during a course receive responses from the team. Support is not limited to a weekly Q&A session.
Ongoing Revision
Feedback from each cohort informs the next course revision. The curriculum is maintained, not published and left static.
Pricing
Clear Fees, No Surprises
All prices are in Thai Baht and include everything listed in the course outline.
Beginner · 8 weeks
Intro to Coding & AI
฿4,400
- All course materials
- Assignment submissions
- Mentor feedback
- Short project review
Intermediate · 10 weeks
Machine Learning
฿9,700
- All course materials
- Assignment submissions
- Mentor feedback
- Code review sessions
- Guided capstone project
Advanced · 12 weeks
Advanced AI Track
฿18,000
- All course materials
- Assignment submissions
- Full mentor support
- Code review sessions
- Substantial project review
Not Sure Which Track to Choose?
Send a message with a bit of background and someone from the team will suggest the right starting point for you.
Ask the Team