Neuronest
AI learning environment

Build Real AI Skills
Through Projects You Create

Neuronest offers structured, project-based courses in AI development — from Python fundamentals to applied machine learning and engineering workflows. Each course includes mentor feedback and a portfolio project you can share.

3 structured learning tracks
Mentor feedback included

Three Paths Into AI Work

Each course is paced, project-driven, and supported — choose the track that fits where you are right now.

Python foundations

Foundations of Programming for AI

A beginner-friendly course covering Python basics, working with data, and the everyday tools used in AI projects. Includes small guided exercises and a first portfolio project. Suited to newcomers who want a steady, supportive start, with mentor feedback along the way.

  • Python syntax and data structures
  • Guided exercises with mentor feedback
  • First portfolio project included
฿3,800 Get Started
Machine learning projects Most Popular

Applied Machine Learning Projects

A project-based course where learners build and evaluate models on real datasets, covering core methods and good practice. Includes code reviews and a portfolio of completed projects. Best for those comfortable with the basics who want hands-on experience.

  • Real dataset projects and model evaluation
  • Code reviews from instructors
  • Portfolio of completed ML projects
฿8,200 Get Started
AI engineering pathway

AI Engineering Pathway

A comprehensive programme spanning model building, deployment basics, and team workflows, with regular mentor sessions and a capstone project. Includes a course completion record and a portfolio review. Designed for committed learners building toward applied work.

  • Model deployment and team workflows
  • Regular mentor sessions included
  • Capstone project with portfolio review
฿12,200 Get Started

Learning That Fits How You Actually Work

We've shaped each course around real working habits — no padding, no filler, just structured steps that build on each other.

Portfolio-First Approach

Every course ends with a project you've built yourself. No hypotheticals — real work you can share.

Mentor Feedback on Your Code

Instructors review your submissions and provide specific, actionable notes — not generic encouragement.

Learn at Your Own Pace

Courses are structured but flexible. Work through modules when it suits your schedule — no fixed session times.

Layered Curriculum Design

Each module builds on the last. Foundations leads naturally into applied ML, which feeds into the engineering pathway.

Real Datasets, Real Scenarios

You work with genuine data sources throughout. The problems are the kind you'd actually encounter in practice.

English-Medium, Thailand-Based

All courses are delivered in English, with support staff familiar with the Thai learning context and timezone.

Which Track Matches Where You Are?

Drop us a message and we'll help you figure out the right starting point. No pressure — just a straightforward conversation about your background and where you'd like to go.

or email us at [email protected]

Common Questions

Do I need any prior coding experience to join?
The Foundations course is designed for complete beginners — no prior coding knowledge needed. If you already know some Python, the Applied ML course might be a better starting point. We're happy to chat through your background before you decide.
How long does each course take to complete?
It varies by course and your available study time. Foundations typically takes 6–8 weeks at a comfortable pace; Applied ML runs around 8–12 weeks; the AI Engineering Pathway spans approximately 4–5 months. All courses are self-paced, so you can go faster or slower.
What kind of mentor support is included?
All courses include written feedback on your submitted exercises and projects. The AI Engineering Pathway also includes regular one-on-one mentor sessions where you can ask questions, review your code, and talk through next steps.
Are the courses taught in English?
Yes, all course materials, instructions, and mentor communications are in English. This is intentional — most AI and programming resources are in English, so working in English from the start helps you navigate the wider field more easily.
What do I get at the end of the course?
You'll have at least one completed portfolio project that demonstrates practical skills. The AI Engineering Pathway also includes a course completion record and a structured portfolio review session with a mentor.
How do I pay and what are the payment options?
Prices are listed in Thai Baht (฿). Payment details are shared after enrolment. Get in touch via the contact form and we'll walk you through the process.

Our Bangkok Office

248 Thanon Surawong, Bang Rak, Bangkok 10500

Start the Conversation

Tell us a bit about yourself and which course interests you. We'll get back to you within one business day.

Contact Details

Address

248 Thanon Surawong,
Bang Rak, Bangkok 10500,
Thailand

Working Hours

Mon – Fri: 9:00 – 18:00 (ICT)
Sat: 10:00 – 15:00
Sun: Closed

Send Us a Message

By submitting this form, you agree to our Privacy Policy and Terms & Conditions.