Our Courses

Three courses, built to connect

Each course is complete in itself. Together, they form a path from no coding experience to a career-level portfolio in AI development.

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Our Methodology

How all three courses are taught

Every course follows the same weekly release model: materials, exercises, and a clear sense of what the week is asking you to work on. Exercises are submitted and reviewed by a mentor who leaves written comments.

Theory is introduced in the context of tasks, not as a separate preliminary. You learn what a concept is by using it, and the mentor's feedback helps you understand where your use of it was accurate and where it could be refined.

Courses share a consistent approach to quality: content is reviewed before each cohort, feedback rubrics are applied across all mentors, and progress is tracked so nobody gets lost quietly mid-course.

Weekly structure

Clear week-by-week progression

Written feedback

Specific mentor review of your work

Build first

Theory through practice

Small cohorts

Room for your questions

Course 01 · 12 Weeks · ฿7,400

Foundations of AI Development

A welcoming introduction to programming for AI. Covers core Python, data handling, and the ideas behind machine learning, taught step by step. Lessons are short and practical, with small exercises and supportive mentor feedback so you can learn at a steady pace. Suited to curious beginners with little or no coding background.

Core Python: variables, loops, functions, and data structures

Working with data using pandas and basic NumPy

Introduction to how machine learning models work

Practical exercises with written mentor feedback each week

How the twelve weeks are structured

1–3

Python fundamentals: writing and running code, working with variables and data types

4–6

Data handling: reading files, cleaning data, basic analysis with pandas

7–9

Machine learning ideas: what a model is, how training works, evaluation basics

10–12

Small project: applying everything to a real dataset with mentor review

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Course 02 · 16 Weeks · ฿10,800

Applied Machine Learning

A hands-on course where you build and train models on real datasets, learning to evaluate results thoughtfully and avoid common mistakes. You work through guided projects with mentor support and a small peer group for discussion. Suited to learners comfortable with basic Python who want practical experience.

Supervised learning: regression and classification

Model training, validation, and evaluation methods

Feature engineering and handling real-world data issues

Guided projects with cohort peer discussion

How the sixteen weeks are structured

1–4

Data preparation: sourcing, cleaning, and exploring datasets for ML use

5–9

Building and training models: linear models, decision trees, evaluation metrics

10–13

Improving models: feature work, avoiding overfitting, cross-validation

14–16

Guided project: full pipeline on a dataset of your choice with mentor review

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Course 03 · 24 Weeks · ฿13,800

AI Engineering Career Track

A comprehensive programme that brings together model building, deployment, and working with modern AI tools, framed around a portfolio project you can be proud of. You receive regular mentor reviews, structured feedback, and guidance on building practical skills employers value. Suited to committed learners aiming for a role in the field.

End-to-end model development and deployment

Working with modern AI APIs and tooling

Personalised portfolio project, developed with your mentor

Scheduled one-to-one mentor review calls

How the twenty-four weeks are structured

1–6

Consolidation and review: strengthening foundations before the advanced work

7–12

Advanced ML and deep learning concepts: neural networks, pipelines, modern tooling

13–18

Deployment and engineering: making models usable, APIs, versioning, basic MLOps

19–24

Portfolio project: your own brief, developed with mentor guidance and regular reviews

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Which Course Is Right for You

Comparing the three courses

Feature	Foundations	Applied ML	Career Track
Duration	12 weeks	16 weeks	24 weeks
Price (THB)	฿7,400	฿10,800	฿13,800
Weekly feedback
Peer cohort discussion
One-to-one mentor calls
Portfolio project
Model deployment content
Best for	Beginners, no coding background	Basic Python, want practice	Aiming for a role in AI

Start with Foundations if...you are new to coding or have tried before but not got far. It begins at the very beginning.

Start with Applied ML if...you can write basic Python already and want to move into machine learning with real datasets.

Start with Career Track if...you have ML experience and want a structured, mentor-supported path to a portfolio and career readiness.

Across All Courses

Standards that apply to every programme

Data privacy

Student data is handled under Thailand's PDPA. We hold only what is necessary for course administration and do not share it for commercial purposes.

Pre-cohort review

Before each cohort starts, content is reviewed and updated where needed. Exercises that rely on outdated tools or methods are revised.

Consistent feedback quality

All mentors work from the same feedback rubrics. Students receive a predictable standard of specific, written comment regardless of which mentor reviews their work.

Progress visibility

Students can see their progress through the course at any time. Mentors are alerted if someone falls significantly behind so they can reach out before it becomes a problem.

Open-source tools

All software used in exercises is free and open source. No paid tools or subscriptions are required. You can continue using everything you learn after the course ends.

No marketing during courses

Once enrolled, you will not be encouraged to buy additional products or upgrades. Courses are self-contained and include everything needed.

Enrolment Fees

Simple, all-inclusive pricing

All prices in Thai Baht. Each fee covers everything — materials, exercises, mentor feedback, and cohort access. No extras.

Foundations

฿7,400

12-week programme

Core Python and data handling
ML introduction and concepts
Weekly mentor feedback
Cohort discussion access

Enquire

Not sure which course fits?

Send us a message and we can walk you through the options based on where you are now. There is no pressure involved — just a conversation.

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