Build Your AI Skills
One Step at a Time
Structured programmes in machine learning, deep learning, and AI engineering — written with care, paced for genuine understanding.
Three Tracks, One Direction
Each course is built around weekly written material, hands-on Python exercises, and real project work — no rushing through the content.
Machine Learning Foundations
A careful introduction covering supervised and unsupervised learning, model evaluation, and the mathematical foundations that support modern AI work. Includes Python exercises and applied projects.
- Self-paced weekly lessons
- Practical Python exercises
- Applied mini-projects
- For learners with programming background
Deep Learning & Neural Networks
Covers feedforward networks, convolutional architectures, and attention-based models. Students implement models from foundational papers with thorough engagement at each stage.
- CNN and RNN architectures
- Attention mechanisms
- Paper implementation work
- Extended paced programme
Applied AI Engineering Track
Focuses on the engineering work behind production AI systems — data pipelines, model serving, monitoring, and operational considerations. Built around real-world project work over several months.
- Production ML infrastructure
- Data pipeline design
- Written feedback from instructors
- For learners with existing AI knowledge
Learning That Holds Up Over Time
Our programmes are designed to build durable understanding, not just familiarity with tools.
Structured Syllabus
Each topic builds on the previous one. You won't be thrown into deep end material before the foundations are solid.
Hands-On Python Work
Every course includes practical exercises and applied projects. The work is yours — not guided click-throughs.
Self-Paced Format
Study around your schedule. The content stays accessible so you can take the time each module deserves.
Written Instructor Feedback
Advanced track students receive detailed written responses to their project work — not just automated grading.
Appropriate Prerequisites
Each track has a defined entry point so the material matches where you actually are, not where an algorithm assumes.
Transparent Pricing in THB
Clear per-course pricing in Thai Baht with no hidden fees. You know what you're paying before you commit.
Which track suits where you are?
Send us a message and we'll help you find the right starting point — no pressure, just a conversation about what you're working toward.
Frequently Asked
Do I need a background in mathematics to enrol in the ML Foundations course?
How long does each programme take to complete?
Are the courses delivered in English or Thai?
What does the Applied AI Engineering Track project work involve?
How is payment handled and is there a refund policy?
Is my personal information handled securely?
Our Location in Bangkok
89 Sukhumvit Soi 21, Khlong Toei Nuea, Watthana, Bangkok 10110
Get in Touch
We'll respond to all enquiries within one business day.
Contact Details
89 Sukhumvit Soi 21
Khlong Toei Nuea, Watthana
Bangkok 10110, Thailand
Monday – Friday: 9:00 – 18:00 ICT
Saturday: 10:00 – 14:00 ICT
Sunday: Closed