Three Tracks, One Clear Progression
Each Neuronest course is a standalone learning experience — and together they form a coherent path from Python basics through to applied AI engineering. Choose where to start based on your current background.
Back to HomeHow Every Neuronest Course Works
Module Introduction
Each module opens with a short explanation of the concept and why it matters in practice — not a lecture, just enough context to make the exercise meaningful.
Guided Exercise
You write code to solve a specific, bounded problem. The exercise is designed to surface the tricky parts of the concept without overwhelming you.
Mentor Feedback
A mentor reviews your submission and leaves specific written comments — on structure, logic, or style. You're expected to read and apply the feedback before moving on.
Portfolio Project
Each course ends with a project that brings together everything covered. It's real work you've built — something you can add to a portfolio and explain in detail.
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.
What you'll cover
- Python syntax, variables, functions, and control flow
- Working with lists, dictionaries, and files
- Introduction to pandas and basic data handling
- Setting up and using a Python development environment
- First portfolio project with mentor review
How it's structured
Estimated duration
6–8 weeks at comfortable pace
Course fee
฿3,800
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.
What you'll cover
- Core supervised and unsupervised ML methods
- Working with real datasets — preprocessing, exploration, feature engineering
- Model training, evaluation, and iteration
- Code review feedback from instructors
- Portfolio of 2–3 completed ML projects
How it's structured
Estimated duration
8–12 weeks at comfortable pace
Course fee
฿8,200
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.
What you'll cover
- Advanced model building and tuning techniques
- Deployment basics — packaging and serving models
- Team workflows and version control for ML projects
- Regular one-on-one mentor sessions throughout
- Capstone project with full portfolio review session
How it's structured
Estimated duration
4–5 months at steady pace
Course fee
฿12,200
Which Track Is Right for You?
| Feature | Foundations ฿3,800 |
Applied ML ฿8,200 |
AI Engineering ฿12,200 |
|---|---|---|---|
| Prior coding knowledge needed | None | Basic Python | ML fundamentals |
| Mentor feedback on submissions | |||
| One-on-one mentor sessions | — | — | |
| Portfolio project | 1 project | 2–3 projects | Capstone + review |
| Covers model deployment | — | — | |
| Best for | Complete beginners | Hands-on learners with basics | Committed learners building toward applied work |
Not sure which track fits you? Get in touch and we'll help you decide.
Standards Across All Tracks
Learner Data Privacy
Personal data is handled in compliance with Thailand's PDPA. We don't sell or share learner information with third parties.
Rolling Content Updates
Course materials are reviewed and updated on a regular basis. Learners who've enrolled have access to updated versions as they're published.
Qualified Mentor Review
Only instructors with relevant professional experience review submissions. We don't use automated grading as a substitute for human feedback.
Timely Responses
We aim to respond to questions within one business day. Feedback on submitted work is typically delivered within two to three business days.
Transparent Pricing
All course fees are listed in Thai Baht. There are no hidden charges, mandatory add-ons, or subscription models.
English-Medium Throughout
All course content, exercises, mentor communications, and support are in English — preparing learners for the broader AI ecosystem.
Course Fees in Thai Baht
Foundations of Programming for AI
- Python basics and data handling
- Guided exercises with mentor feedback
- One portfolio project
- Access to course materials
Applied Machine Learning Projects
- Core ML methods on real datasets
- Code reviews from instructors
- Portfolio of 2–3 completed projects
- Access to course materials
AI Engineering Pathway
- Model building, deployment, team workflows
- Regular one-on-one mentor sessions
- Capstone project with portfolio review
- Course completion record
Talk to Us Before You Commit
Send a message describing your background and what you're looking to learn. We'll point you to the right track — no pressure to sign up on the spot.
Send a Message