A clear pathway from first
steps to substantial projects
Choose the course that matches where you are now. Each one builds real capability through structured work and mentor feedback.
Back to HomeHow each course is structured
Structured Materials
Weekly content introduces concepts in context, alongside the practical task they apply to.
Practical Exercises
You write code and work with data from the first session. Theory follows practice, not the other way.
Mentor Sessions
Scheduled review sessions with your mentor — personal, not automated — to work through questions and project feedback.
Project Outcome
Each course ends with a completed project — something you built and can explain, not just a certificate of attendance.
First Steps in AI Development
A gentle introduction to coding and the ideas behind artificial intelligence. You write your first Python programs, explore how data drives models, and complete small guided tasks. Suited to curious beginners who appreciate a calm pace, with mentor support throughout.
// What you build
- Short Python programs from the first week
- A guided data exploration exercise
- A short end-of-course project on a simple AI task
- Understanding of how training data shapes model behaviour
// Process steps
Weeks 1–2: Python syntax, variables, loops, and functions with short exercises
Weeks 3–4: Introduction to data structures and how data is shaped for AI tasks
Weeks 5–6: First model training — understanding what the model learns and why
Weeks 7–8: Short guided project with mentor review and written feedback
Course fee
฿4,700
// Best for
People who are new to coding, curious about how AI works, and want to begin carefully rather than rushing through unfamiliar territory. No prior programming experience is needed.
// Best for
Learners who are comfortable with basic programming — Python in particular — and want to move from knowing how code works to producing models that do useful things with real data.
Building Practical Models
An intermediate course centred on creating useful machine-learning models from real data. You study workflows, train and assess models, and reflect on results through hands-on projects. Includes feedback sessions and a guided capstone project.
// What you build
- Multiple trained models applied to real-world datasets
- Model evaluation and comparison exercises
- A guided capstone: an end-to-end ML workflow with written reflection
- Experience reading and interpreting model performance metrics
// Process steps
Weeks 1–3: Data handling — loading, cleaning, and preparing datasets for training
Weeks 4–6: Training and assessing classification and regression models
Weeks 7–8: Model iteration, debugging poor results, improving performance
Weeks 9–10: Capstone project with mentor feedback and written evaluation
Course fee
฿10,000
End-to-End AI Project Lab
An advanced lab in which you design, build, and present a complete AI solution with mentor guidance. Covers deeper modelling, deployment considerations, and thoughtful evaluation of real-world impact. Suited to those with prior experience seeking a substantial portfolio piece.
// What you build
- A fully scoped AI project from problem definition to evaluation
- Documentation of your design decisions and their rationale
- A deployment-ready or near-deployment solution
- A final presentation reviewed by your mentor
// Process steps
Weeks 1–3: Project scoping — defining the problem, data requirements, and evaluation criteria
Weeks 4–7: Building the core model — design, training, and iterative improvement
Weeks 8–10: Deployment and evaluation — making the model usable and assessing real-world fit
Weeks 11–12: Presentation and final review with mentor — written reflection and next steps
Course fee
฿18,000
// Best for
Those who have worked with ML before and want to build something substantial — a project with real scope that demonstrates depth of understanding rather than broad familiarity.
Which course is right for you?
| Feature | First Steps | Practical Models ★ | AI Project Lab |
|---|---|---|---|
| Level | Beginner | Intermediate | Advanced |
| Duration | 8 weeks | 10 weeks | 12 weeks |
| Prior coding needed | None required | Basic Python | ML experience |
| Mentor sessions | |||
| Capstone / project | Short guided | Guided capstone | Full lab project |
| Price | ฿4,700 | ฿10,000 | ฿18,000 |
★ Most popular starting point for learners with some prior coding experience
Shared across all three courses
Data Privacy
All learner data is handled in accordance with Thailand's Personal Data Protection Act. Nothing shared during the course is used outside of course delivery.
Quarterly Curriculum Review
Materials are reviewed every quarter against the current state of AI development practice. Outdated exercises are updated before the next cohort starts.
Human Feedback Only
No automated grading. Every submission receives written review from a mentor who has read what you wrote.
Post-Course Feedback
All learners are invited to give detailed feedback after completing a course. This shapes the next version.
Responsible AI Content
Discussion of ethics, bias, and impact is part of the curriculum — not a bonus module, but an integrated part of how each topic is taught.
Transparent Enrolment
Course fees, what is included, and what to expect are stated clearly before you commit. No surprises after enrolment.
Course fees
First Steps
฿4,700
8 weeks · one payment
- All course materials
- Mentor support
- Short project with feedback
Practical Models
฿10,000
10 weeks · one payment
- All course materials
- Mentor sessions & feedback
- Guided capstone project
- Real-world datasets
AI Project Lab
฿18,000
12 weeks · one payment
- All course materials
- Regular mentor reviews
- Full end-to-end project
- Portfolio-ready outcome
Not sure which course to begin with?
Send us a message describing your background and what you are hoping to do. We will recommend the right starting point and answer any questions before you commit.
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