Neuronest
AI development learning environment

Build Real AI Skills —
One Project at a Time

Neuronest offers structured online courses in AI development — from beginner-friendly introductions to an in-depth mentored programme with code review and a personal portfolio.

Self-paced with community support
Portfolio-ready projects

Three Paths, One Direction

Each programme builds on the last — choose where you are now and move forward at a pace that works for you.

Foundations of AI Development

Foundations of AI Development

A beginner-friendly online course introducing core programming, data handling, and the ideas behind modern AI systems — taught through small guided projects with community support.

  • No prior programming experience needed
  • Guided mini-projects throughout
  • Active community forum access
฿3,900 Get Started
Applied Machine Learning Track Popular

Applied Machine Learning Track

A project-based intermediate track where you build and evaluate models on real datasets, developing practical, portfolio-ready skills over several weeks.

  • Work with real-world datasets
  • Portfolio projects you can share
  • Model evaluation and iteration skills
฿17,500 Get Started
Mentored AI Engineering Programme

Mentored AI Engineering Programme

An in-depth online programme with regular mentor feedback, a capstone project, and code review — aimed at learners building toward a professional portfolio.

  • Regular one-on-one mentor sessions
  • Detailed code review on each submission
  • Capstone project for your portfolio
฿34,500 Get Started

Where would you like to begin?

Whether you are writing your first line of code or looking for structured mentorship on a professional project, there is a programme that fits where you are right now.

+66 2 274 6813 [email protected]

What shapes the learning experience

Project-first approach

Every concept is introduced through a hands-on task. You build something you can show before moving on.

Community and peer learning

A shared forum for questions, code sharing, and feedback keeps you connected to others at a similar stage.

Mentor-guided pathways

The advanced programme pairs you with a mentor who reviews your code and guides your capstone development.

Self-paced structure

Modules are designed around a working schedule — complete them when it suits you, without falling behind.

Real datasets, real context

Exercises use actual data with practical framing — not artificial toy examples designed purely to illustrate a formula.

Portfolio-ready outputs

By the end of each track, you have documented projects that demonstrate your capabilities to collaborators or employers.

Frequently Asked

Do I need prior programming experience to join the Foundations course?

No prior programming experience is needed. The Foundations course starts from scratch — covering what code is, how data is organised, and how the simplest machine learning ideas connect to real problems. You only need a basic understanding of computers.

How much time per week should I set aside?

The Foundations course suits 4–6 hours per week. The Applied ML Track works well at 6–10 hours. The Mentored Programme, which includes mentor sessions and code review, typically involves 10–14 hours per week to get the most from the feedback cycle.

Are the courses entirely online?

Yes. All courses are delivered online — video modules, written materials, coding exercises, and community discussions. Mentor sessions in the advanced programme are conducted via video call, scheduled flexibly around your timezone.

What language are the courses taught in?

All course materials, exercises, and mentor sessions are delivered in English. Code comments and documentation in exercises follow standard English conventions used across the global developer community.

What happens after I complete a programme?

You keep access to all course materials. Your portfolio projects remain yours to use and share. Graduates of the Foundations or Applied ML Track are also eligible to move into the next programme at a reduced enrolment fee.

How do I make payment, and are there instalment options?

Payment is accepted in Thai Baht via bank transfer or major debit/credit cards. For the Applied ML Track and Mentored Programme, instalment arrangements can be discussed — please reach out through the contact form and we will confirm the options available.

Our Bangkok Office

188/12 Ratchadaphisek Road, Din Daeng, Bangkok 10400

Send Us a Message

Contact Details

Address

188/12 Ratchadaphisek Road,
Din Daeng, Bangkok 10400,
Thailand

Office Hours (ICT, UTC+7)

Mon – Fri: 9:00 – 18:00
Sat: 10:00 – 14:00
Sun: Closed

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