// Programmes
Three Programmes,
One Clear Path
From first principles to production deployment. Each programme is independent but connects directly to the next.
Back to Home// Methodology
How the Programmes Are Structured
Start from Code
Every programme begins with working code in the first week. Theory is introduced in the context of doing, not as a prerequisite.
Build, Review, Revise
Assignments are submitted, reviewed by a mentor, and returned with written comments. This cycle repeats throughout each programme.
Finish with Something Real
Each programme ends with a project that goes beyond the material — something you built, not just something you completed.
8 weeks · Self-paced
Foundations of AI Development
An introductory online course covering core programming for machine learning, data handling, and the basic concepts behind modern models, taught through worked examples and small projects. Suited to learners with some coding familiarity who want a solid grounding. Self-paced over eight weeks with weekly live question sessions and reviewed exercises. Includes course notes and starter project repositories.
- Weekly live question sessions
- Reviewed exercises with written comments
- Course notes included
- Starter project repositories provided
// How it works
Set up your Python environment using the provided starter repository
Work through weekly modules with worked examples and exercises
Attend or watch recordings of live Q&A sessions
Submit reviewed exercises and receive written feedback
Complete a small end-of-course project to bring the concepts together
฿4,000
one-time payment
12 weeks · Self-paced with cohort
Applied Machine Learning Programme
An intermediate programme that guides learners through building, training, and evaluating models on realistic datasets, with practical attention to data preparation and honest assessment of results. For those who have completed a foundations course or have equivalent experience. Runs over twelve weeks with mentor feedback on assignments. Includes datasets, project briefs, and recorded walkthroughs.
- Mentor feedback on all assignments
- Real datasets included
- Project briefs with scope definition
- Recorded walkthroughs archived
// How it works
Receive the first dataset and project brief
Work through data preparation and exploratory analysis
Build and train models, submit assignments for feedback
Evaluate results honestly using the methods covered in the programme
Complete a final project demonstrating the full ML workflow
฿16,000
one-time payment
16 weeks · With portfolio project
Advanced AI Engineering Track
A comprehensive track covering deployment, model evaluation, and the engineering practices behind reliable AI systems, structured around a substantial portfolio project. Designed for committed learners building toward serious independent work. Runs over sixteen weeks with regular mentor sessions and code reviews. Includes a project framework, review sessions, and a written progress record.
- Regular mentor sessions and code reviews
- Substantial portfolio project framework
- Deployment and production engineering focus
- Written progress record on completion
// How it works
Define your portfolio project scope with your assigned mentor
Build through the engineering modules — deployment, evaluation, monitoring
Submit code for review; receive written feedback at each stage
Complete and document your portfolio project
Receive your written progress record on completion
฿34,000
one-time payment
// Decision Guide
Which Programme Is Right for You?
| Feature | Foundations | Applied ML | Advanced Track ★ |
|---|---|---|---|
| Duration | 8 weeks | 12 weeks | 16 weeks |
| Live Q&A sessions | |||
| Mentor assignment review | |||
| Code review | |||
| Real datasets provided | |||
| Portfolio project | |||
| Written progress record | |||
| Price (THB) | ฿4,000 | ฿16,000 | ฿34,000 |
// Best for
Foundations
Developers with Python basics who want a solid introduction to how machine learning works in practice.
// Best for
Applied ML
Developers who've covered the basics and want to build and evaluate real models with mentored support.
// Best for
Advanced Track
Committed learners ready to work on deployment and engineering practices — and produce a substantial portfolio project.
// Standards
Across All Programmes
PDPA-Compliant Data Handling
Learner data is handled in line with Thailand's Personal Data Protection Act. We keep only what's needed to deliver the programme.
Written Feedback Standard
All mentored feedback is written, specific to your submission, and returned within 3–5 business days.
Curriculum Updated Each Cycle
Material is reviewed at the end of each programme cycle. The field changes and the content needs to keep up.
Responsive Support
Questions are answered during office hours, Monday–Friday 9–18. We aim to respond same-day where possible.
Recordings Always Available
All live sessions are recorded and accessible for the duration of your enrolment. Missing a session doesn't mean missing the content.
Starter Repositories Provided
Every programme provides GitHub-hosted starter repos so you're writing code in a realistic environment from day one.
// Pricing
Simple, Per-Programme Pricing
All prices in Thai Baht. One-time payment. No subscription.
Foundations
฿4,000
one-time · 8 weeks
- Core ML programming
- Weekly live Q&A
- Reviewed exercises
- Course notes & starter repos
Applied ML
฿16,000
one-time · 12 weeks
- Model building on real datasets
- Mentor assignment feedback
- Recorded walkthroughs
- Project briefs included
Advanced Track
฿34,000
one-time · 16 weeks
- Deployment & production engineering
- Mentor sessions & code reviews
- Portfolio project framework
- Written progress record
// Start
Ready to Pick a Programme?
If you're not sure where to start, send us a message and we'll give you an honest view based on your background.
Get in Touch