THREE TRACKS

A Clear Path from First Line of Code to Production AI

Each track has a defined scope, a concrete project, and the same mentor support. Choose the one that matches where you are now.

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METHODOLOGY

How the Tracks Are Structured

Module-by-module progression

Material is sequenced deliberately. Each module assumes the previous one is complete, so knowledge builds rather than accumulates in disconnected pieces.

Practice before explanation

Exercises come before long-form explanations in many modules. You encounter the problem first, then the theory — which helps the theory stick.

Project to close each track

Every track ends with a project that uses the full range of skills covered. This is submitted for mentor review and becomes part of your portfolio.

TRACK 01 ฿4,200

Data & Code Foundations

A structured start in the programming and data skills that AI work depends on. For beginners who are ready to practise consistently and want mentor support as they go. The track includes guided exercises and ends with a starter project you can share.

Core Python for data work
Data structures, cleaning, and exploration
Introduction to statistical thinking
Guided exercises with mentor support
Starter project reviewed by mentor

How it unfolds

Environment setup and Python fundamentals — variables, functions, control flow

Working with tabular data using pandas — loading, cleaning, and transforming

Exploratory analysis and visualisation — understanding what data shows

Final project: a data analysis pipeline on a provided dataset, reviewed by mentor

Enrol in Track 01 ~6–8 weeks at 8 hrs/week

TRACK 02 ฿18,000

Applied Models Studio

A project-based course building and evaluating machine learning models on real data. Suited to learners who already have basic programming knowledge. Mentor code reviews run throughout, and the track produces a tangible portfolio piece.

Supervised and unsupervised learning methods
Feature engineering and selection
Model evaluation and iteration
Mentor code reviews at each stage
Portfolio project on a real-world dataset

How it unfolds

Data preparation pipeline for modelling — handling missing values, encoding, scaling

Building and comparing classification and regression models

Evaluation metrics, cross-validation, and bias-variance tradeoffs

Portfolio project: end-to-end modelling notebook with mentor-reviewed code

Enrol in Track 02 ~10–14 weeks at 10 hrs/week

TRACK 03 ฿35,000

Scalable AI Track

An advanced programme on building and structuring AI systems for real use, with peer collaboration and mentorship. Focused on practical depth and portfolio strength. Steady effort is essential — this track rewards learners who engage consistently over the full duration.

System design for AI pipelines
Serving models at scale
Monitoring, reliability, and iteration
Peer collaboration on shared problems
Advanced portfolio project with mentor review

How it unfolds

Architecture patterns for AI systems — components, data flows, and trade-offs

Model serving, APIs, and deployment infrastructure

Collaborative exercises with peers — designing systems together, reviewing each other's approaches

Capstone: a production-oriented AI system design with full mentor review

Enrol in Track 03 ~16–20 weeks at 12 hrs/week

CHOOSE YOUR TRACK

Which Track Is Right for You?

Feature	Track 01 ฿4,200	Track 02 ฿18,000	Track 03 ฿35,000
Prior coding required	No	Basic Python	ML experience
Mentor reviews
Portfolio project
Peer collaboration
Production system design
Typical duration	6–8 weeks	10–14 weeks	16–20 weeks

Not sure which track to start? Contact us — we'll help you pick the right level.

STANDARDS

Shared Across All Tracks

Data Privacy

Learner data is handled in line with Thailand's PDPA. Submissions and personal information are not shared outside the teaching team.

48-Hour Review SLA

Project submissions receive written feedback from a mentor within 48 hours on weekdays, tracked and managed by the Mentor Coordinator.

Quarterly Content Updates

Track material is reviewed every quarter against current libraries and practices. Content is updated when the field moves on — you are not studying a frozen syllabus.

Direct Question Support

Questions submitted via the platform during weekdays receive a response within one business day. Weekend queries are handled Monday morning.

Real Datasets

Exercises use datasets from genuine sources — not specially simplified teaching sets. The messiness is part of the learning.

No Hidden Fees

Each track is priced fully in Thai Baht. Access to exercises, mentor reviews, and platform features is included. No add-on tiers or locked content.

PRICING

Clear Fees, No Surprises

TRACK 01

Data & Code Foundations

฿4,200

per track enrolment

Full track access
Mentor support
Starter project review
Platform access

Enrol

Applied Models Studio

฿18,000

per track enrolment

Full track access
Mentor code reviews
Portfolio project review
Platform access

Enrol

TRACK 03

Scalable AI Track

฿35,000

per track enrolment

Full track access
Mentor code reviews
Peer collaboration
Capstone project review

Enrol

Not Sure Which Track to Pick?

Send us a message with your background and what you want to build — we will suggest the right starting point.

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