Online AI School · Bangkok, Thailand
Learn AI Development,
Layer by Layer
Three structured tracks take you from Python foundations through applied machine learning to advanced model engineering — each built around small exercises, real datasets, and portfolio projects.
Our Tracks
Three Paths Through AI Development
Each track builds on the previous, so learners move at a pace that keeps understanding solid rather than rushed.
Foundations of AI Development
A beginner-friendly track covering Python for data work, core mathematics for machine learning, and how models learn from data. Built around guided exercises so concepts settle through practice.
- Python for data science
- Core ML mathematics
- Starter notebook portfolio
Applied Machine Learning
An intermediate track on building, evaluating, and improving models with real datasets. Covers project workflows from problem framing to a working result with mentor feedback.
- End-to-end project workflows
- Good data habits and measurement
- Mentor feedback on projects
Advanced Systems & Capstone
A senior track on modern model architectures, responsible deployment, and a substantial capstone project of the learner's choosing. Includes regular reviews and a presented final project.
- Modern architectures and deployment
- Responsible AI engineering
- Capstone for your portfolio
Ready to Start?
Pick a Track and Begin Building
Each Neuronest track is self-paced and project-centred — so you work through material when it fits your schedule and finish with something real to show.
Why Neuronest
What Makes the Difference
Layered Structure
Content builds in clear bands — fundamentals first, deeper concepts next, applied work at the end. No topic appears before its prerequisites are solid.
Mentor Feedback
Submitted projects receive written comments from an experienced reviewer — practical notes on what works and what to reconsider.
Portfolio-Ready Output
Every track ends with artefacts you can share: documented notebooks, project write-ups, and a capstone piece for the advanced track.
Self-Paced Study
Lessons and exercises are available on your schedule. There are no fixed class times, so the programme fits around work and other commitments.
Real Datasets
Exercises use actual data rather than simplified toy examples, so learners encounter the kind of messiness that shows up in real work.
Responsible AI Focus
Responsible development and honest measurement appear throughout the curriculum — not as an afterthought but woven into project work from the start.
Questions
Frequently Asked
Do I need any prior programming experience to start?
The Foundations track assumes no prior coding background. It introduces Python step by step, so steady commitment and curiosity are all that is needed to begin. The Applied ML and Advanced tracks do build on Foundations-level knowledge, so new learners typically start there first.
How long does each track take to complete?
Completion time varies by the learner's pace and schedule. As a rough guide, the Foundations track takes four to six weeks at a few hours per week, Applied ML around eight to ten weeks, and the Advanced Capstone track three to four months including the capstone project.
What tools and software will I need?
Most exercises run in Jupyter notebooks. A standard laptop with a modern browser is sufficient for the Foundations and Applied ML tracks. The Advanced track involves some heavier model training; setup guidance for cloud environments is included so learners are not reliant on local hardware.
What is the course fee, and how is payment handled?
Foundations is ฿3,400, Applied ML is ฿7,500, and Advanced Systems & Capstone is ฿11,900. Each track is priced individually. Payment details and accepted methods are shared when you submit an enquiry through our contact form.
Do I receive any form of completion record?
Learners who complete all exercises and submit the required projects receive a digital record of completion from Neuronest. The emphasis is on the portfolio projects rather than the document itself, as those are what demonstrate understanding to others.
How is my personal data handled?
Data submitted through the enquiry form is used only to respond to your enquiry and manage your enrolment. It is not shared with third parties for marketing. Full details are in our Privacy Policy.
Location
Find Us in Bangkok
240 Rama IV Road, Khlong Toei, Bangkok 10110, Thailand
Contact
Send an Enquiry
Questions about a track, the schedule, or enrolment — we respond within one working day.
Contact Details
Phone
+66 97 514 6082Address
240 Rama IV Road, Khlong Toei,
Bangkok 10110, Thailand
Office Hours
Mon – Fri: 09:00 – 18:00 (ICT)
Sat: 10:00 – 14:00 (ICT)