A full path through AI development, in three structured stages
Every Neuronest programme is designed to connect to the next one. Start at the level that fits you — and move forward at your own pace.
← Back to HomeHow our programmes are built
Assess your level
We provide clear guidance on which programme suits your current knowledge — so you start in the right place.
Follow a clear path
Each week has recommended material. There's always a clear next step — no navigating menus of hundreds of videos.
Build something real
Exercises and projects are applied throughout. The Capstone produces a complete, deployable AI system.
Progress to the next level
Completing one programme prepares you exactly for the next — no gaps to fill in on your own between stages.
Foundations of Python for AI
A beginner-friendly online programme introducing Python and the core ideas behind modern AI development. Covers programming basics, working with data, and a first look at simple models — through guided lessons and practical exercises. Suited to newcomers with little or no coding background.
What you'll cover
- Python syntax, data types, and control flow
- Working with lists, dictionaries, and functions
- Reading and manipulating data with Pandas
- Introduction to NumPy for numerical work
- Your first machine learning model: a worked example
Typical path through the programme
Applied Machine Learning Track
An intermediate online track exploring practical machine learning — from data preparation to building and evaluating models. Includes hands-on projects, code reviews, and mentor-supported study groups. Suited to learners comfortable with Python who want applied skills across a structured multi-week schedule.
What you'll cover
- Data cleaning, feature engineering, and preparation pipelines
- Supervised learning: regression and classification in depth
- Model evaluation, cross-validation, and avoiding overfitting
- Unsupervised methods: clustering and dimensionality reduction
- End-to-end project: data to deployed model
Typical path through the programme
AI Engineering Capstone Programme
A comprehensive online programme guiding learners through building and deploying a complete AI project — covering model development, deployment basics, and sound engineering practice. Includes mentorship, peer review, and a portfolio-ready capstone. Suited to committed learners seeking depth in a longer, project-led format.
What you'll cover
- Project scoping and system design decisions
- Advanced model architectures and training techniques
- API development and model serving fundamentals
- Deployment basics: containerisation and cloud hosting
- Engineering practices: versioning, testing, documentation
Typical path through the programme
Which programme is right for you?
| Feature | Foundations ฿3,600 |
ML Track ฿16,000 |
Capstone ฿34,000 |
|---|---|---|---|
| Prior coding needed | Python basics | ML knowledge | |
| Typical duration | 4–6 wks | 8–10 wks | 3–4 months |
| Community discussion | |||
| Instructor exercise feedback | |||
| Study group sessions | |||
| Mentor sessions | |||
| Peer review | |||
| Portfolio capstone project |
Best for Foundations
New to programming; curious about AI; want a solid, unhurried start.
Best for ML Track
Can write Python; want to work with real data and build models that work.
Best for Capstone
Ready to build something complete and deploy it — with expert guidance throughout.
How we approach quality across all programmes
Version-controlled content
All exercise repositories are versioned. When libraries update in ways that affect the exercises, we update the exercises — not just the notes.
Data handling standards
Learner work and personal information is stored securely in compliance with applicable Thai PDPA requirements. No data is shared with third parties without consent.
Periodic content audits
Content is reviewed quarterly for accuracy. Exercises are tested against current library versions before each new cohort starts.
Defined response windows
Exercise feedback is delivered within a stated number of days per programme. Learners are not left waiting indefinitely for responses to their work.
Cross-platform compatibility
Programmes are tested on Windows, macOS, and Linux. Setup guides are maintained for all three environments and updated when the process changes.
Ethical framing of AI topics
All programmes include discussion of responsible AI use, limitations of models, and contexts where AI tools should be applied carefully. Not as a checkbox — as integrated content.
Clear pricing, all inclusive
One fee covers everything in the programme. No monthly charges or add-on purchases required.
Foundations
Python for AI · Beginner
฿3,600
One-time fee · All-inclusive
- Full programme materials
- Practical exercises
- Community discussion
- Instructor exercise feedback
ML Track
Applied Machine Learning · Intermediate
฿16,000
One-time fee · All-inclusive
- Full programme materials
- Hands-on projects
- Study group sessions
- Mentor sessions included
- Code reviews
Capstone
AI Engineering · Advanced
฿34,000
One-time fee · All-inclusive
- Full programme materials
- Extended mentorship
- Peer review sessions
- Portfolio capstone project
- Group presentation session
Not sure which programme to pick?
Write to us and we'll ask you a few questions, then give you an honest recommendation based on where you are right now.
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