Three Programmes,
One Direction
Whether you are learning Python for the first time or already working with data, there is a programme at Neuronest designed for where you are right now. All pricing is in Thai Baht.
Back to HomeHow the Programmes Are Structured
Each Neuronest programme follows the same underlying approach: concepts are introduced through short, focused lessons, applied through exercises on real data, and then consolidated through review and feedback. The three programmes represent three stages of this cycle at increasing depth and independence.
The Foundations course moves through the basics carefully, without assuming prior knowledge. The Applied ML Track picks up where that leaves off and shifts the balance towards project work. The Mentored Programme adds regular one-to-one sessions for learners who want direct feedback and guidance while building deeper skills.
Short focused lessons
Applied exercises
Review and feedback
Progressive depth
Foundations of AI Development
A structured beginner course covering Python essentials, data handling, and the core ideas behind machine learning, taught through short lessons and guided exercises. For learners new to the field who want a solid, honest grounding. Expect regular practice and steady effort over several weeks.
What the course includes:
- Python syntax, data types, and control flow
- Working with pandas and NumPy for data tasks
- Introduction to supervised learning concepts
- Guided exercises with feedback checkpoints
- Email support throughout
How the course progresses:
Environment setup and Python fundamentals — writing and running code confidently
Data handling — loading, cleaning, and summarising datasets with pandas
ML concepts — training a first model and understanding what the results mean
Review and consolidation — identifying gaps before moving to the next level
Applied Machine Learning Track
A project-based intermediate course where learners build and evaluate models on real datasets, with code reviews and worked examples. Suited to those with basic programming who want hands-on practice. Includes a portfolio project completed at the learner's own pace.
What the track includes:
- Feature engineering and data preparation techniques
- Classification and regression with scikit-learn
- Model evaluation: metrics, cross-validation, and selection
- Code review feedback on submitted work
- Portfolio project developed throughout the course
Course progression:
Dataset selection and exploration — understanding your data before modelling
Building and training models — hands-on with real classification and regression tasks
Evaluating results — using the right metrics and understanding what they tell you
Portfolio project — bringing the work together into a complete, reviewable piece
Mentored Development Programme
An extended programme pairing structured lessons with regular one-to-one mentorship, project feedback, and a small learning community. For committed learners who value guidance while they build deeper skills. Time commitment and expectations are set out clearly before enrolment.
What the programme includes:
- All content from the Applied ML Track
- Scheduled one-to-one mentorship sessions
- Extended topics: model pipelines, deployment basics
- Regular project feedback from the mentor team
- Access to a small peer learning community
Programme progression:
Onboarding and goal-setting — clarifying what you want to build by the end
Applied ML content with ongoing mentor check-ins during each section
Extended topics and deepening project work with direct feedback
Programme close and next-step planning — independent work beyond the course
Choosing the Right Programme
Use this overview to find which programme matches your current level and goals.
| Feature | Foundations ฿3,900 |
Applied ML ฿16,500 |
Mentored ฿34,500 |
|---|---|---|---|
| No prior coding needed | |||
| Real dataset exercises | |||
| Code review feedback | |||
| Portfolio project | |||
| 1-to-1 mentorship sessions | |||
| Peer learning community | |||
| Best for | Complete beginners |
Learners with basic Python |
Those who want guided depth |
All Pricing in Thai Baht
One-time enrolment fees with no ongoing charges. The price you see is what you pay.
Foundations
For learners starting from scratch
฿3,900
- Python essentials module
- Data handling exercises
- ML fundamentals intro
- Email support
Applied ML
For those with basic Python
฿16,500
- Full ML project track
- Code review on submissions
- Portfolio project included
- Email + feedback support
Mentored
For guided, deeper learning
฿34,500
- Everything in Applied ML
- 1-to-1 mentorship sessions
- Extended topics included
- Peer community access
Across All Programmes
Data Privacy
PDPA-aligned handling of learner data. No data shared with third parties for marketing.
Regular Content Updates
Course materials reviewed and updated when library versions or practices shift meaningfully.
Defined Response Times
Enquiries answered within one working day. Code feedback within three working days.
Clear Enrolment Terms
All costs and scope confirmed before payment. Full details in our Terms & Conditions.
Not Sure Which to Start With?
Tell us about your background and what you are hoping to work towards. We will suggest the most sensible starting point without any pressure to commit.
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