Our Programmes
Three programmes. One connected path.
Each Neuronest programme is designed with the next one in mind. Start where you are, build what you need, and move forward when you are ready.
← Back to HomeOur Methodology
How the programmes are structured
Every Neuronest programme is built around a project-first philosophy: you encounter a concept, apply it to a real task, and receive feedback before moving on. This prevents the accumulation of theoretical knowledge that does not connect to actual practice.
The three programmes — Foundations, Applied ML Track, and Mentored Engineering — are sequenced so that the conceptual vocabulary and toolset from each one carries into the next. You are not starting from scratch each time; you are building on what you already know.
Content is reviewed on a regular cycle and updated when libraries or common practices shift. Exercises use real or realistically structured datasets — not toy examples that have been stripped of the complexity that makes the work interesting and instructive.
For the advanced programme, the methodology includes a structured mentorship component: regular video sessions, asynchronous code review on each submission, and a capstone project that the learner owns and can share publicly.
Programme 01
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. Self-paced with community support — suitable for learners with no prior programming background who want to understand what AI development actually involves before going deeper.
- Introduction to Python for data work
- Core data structures and how to handle messy data
- Conceptual introduction to how machine learning models work
- Guided mini-projects included in each module
- Access to learner community forum throughout
How it unfolds
Environment setup and first Python programmes — you run something real on day one
Data loading, cleaning, and exploration using standard libraries
Conceptual walkthrough of ML ideas with a small classification project
Final guided project bringing all elements together into a shareable notebook
Level
Beginner
Format
Self-paced
Weekly hours
4 – 6 hrs
Language
English
Level
Intermediate
Format
Project-based
Weekly hours
6 – 10 hrs
Duration
Several weeks
Programme 02
Applied Machine Learning Track
A project-based intermediate track where learners build and evaluate models on real datasets, developing practical, portfolio-ready skills over several weeks. The track moves beyond introductory concepts into the decisions that matter when you are working with actual data: feature engineering, model selection, evaluation metrics, and iteration.
- Supervised and unsupervised learning approaches
- Feature engineering and data preparation for modelling
- Model evaluation, metrics selection, and iteration cycles
- Working with real, imperfect datasets from the start
- Portfolio-documented project per module
How it unfolds
Dataset acquisition, exploration, and cleaning — building sound preparation habits
Classification and regression projects with progressively more complex data
Evaluation, refinement, and communicating model results clearly
Final track project: an end-to-end pipeline on a dataset you choose
Programme 03
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. This is the most intensive of the three programmes, combining structured content with a sustained working relationship with a single mentor who follows your project from start to finish.
- Regular video sessions with a dedicated mentor
- Asynchronous code review on every submission
- Capstone project defined, developed, and refined with mentor support
- Engineering practices: structure, reproducibility, documentation
- Final portfolio piece reviewed for presentation quality
How it unfolds
Intake session: mentor and learner define the capstone scope and learning goals
Structured modules with code review at each stage — feedback informs the next step
Capstone development with regular check-ins and iterative code review
Final review and portfolio presentation — mentor feedback on how to communicate the work
Level
Advanced
Format
Mentored
Weekly hours
10 – 14 hrs
Mentor sessions
Regular 1-on-1
Decision Guide
Which programme fits your situation?
Use this table to compare what is included at each level before deciding where to start.
| Feature | Foundations ฿3,900 |
Applied ML ฿17,500 |
Mentored ฿34,500 |
|---|---|---|---|
| Self-paced online modules | |||
| Community forum access | |||
| Portfolio project deliverables | |||
| Real dataset exercises | |||
| Dedicated mentor | |||
| Code review on submissions | |||
| Capstone project with mentor input | |||
| Best for: no prior coding experience → Foundations · intermediate learner building portfolio skills → Applied ML · building toward professional-level project work → Mentored Programme | |||
Shared Standards
Across all three programmes
Privacy-first data handling
Learner data is not shared with third parties for marketing purposes
Regular content review
Materials are checked and updated when tools or practices shift
Responsive support
Forum and email queries answered within one working day
Open, portable outputs
All project work uses standard formats — no proprietary platforms required
Enrolment Fees
All prices in Thai Baht
Programme 01
Foundations
฿3,900
- All course modules
- Community forum access
- Guided project exercises
- No prior experience needed
Programme 02
Applied ML Track
฿17,500
- All course modules
- Community forum access
- Real dataset exercises
- Portfolio-ready deliverables
- Instalment available on request
Programme 03
Mentored Programme
฿34,500
- All course modules
- Dedicated mentor 1-on-1
- Code review on every submission
- Capstone project guidance
- Instalment available on request
Unsure where to start?
Send us a message and we will help you decide
Tell us a little about your background and what you are hoping to build, and we will point you toward the programme that makes most sense for your situation.
Contact Neuronest