Programmes
Three paths into AI development
Each programme is clearly scoped and independently useful. You can start at the beginning or at a level that fits where you already are.
Back to HomeOur Methodology
How each programme is structured
All three programmes follow the same underlying structure: recorded sessions that you can work through at your own pace, hands-on exercises applied to real data or systems, written mentor feedback on your work, and a clearly defined endpoint.
Before you begin, you receive the complete programme outline — every session title, every exercise brief, and every expected time commitment. Nothing is disclosed in stages to keep you enrolled. The full scope is yours to read before you pay.
Recorded sessions
All teaching content is recorded. Watch when it suits you, rewatch sections freely.
Written mentor feedback
Each submitted exercise and project receives a written response from your mentor, not automated scoring.
Real data throughout
Exercises use genuine datasets from diverse domains, not constructed toy examples.
Defined completion
Each programme has a clear end point. You know when you are done and what you have covered.
AI Foundations Programme
A gentle starting programme covering programming fundamentals and the core concepts behind AI, taught in clear and patient steps. Suited to learners newer to the field who value a calm, supported pace. Includes weekly exercises, recorded sessions, and a small guided project.
What you work through
- Python programming fundamentals — variables, data structures, functions, and file handling
- Core AI concepts — supervised learning, unsupervised learning, model training and evaluation
- Introduction to NumPy and pandas for working with data
- A guided final project applying what you have learned to a real dataset
- Written feedback from your assigned mentor throughout
Applied Machine Learning
An intermediate, project-based programme covering practical machine learning methods, model evaluation, and working with real data. Learners receive mentor feedback and build a portfolio piece. Each concept is applied through hands-on work at a comfortable pace.
What you work through
- Regression, classification, and clustering algorithms in depth
- Feature engineering, cross-validation, and model selection methods
- Introduction to neural networks with scikit-learn and TensorFlow
- A substantial portfolio project on a dataset you select
- Mentored review of your portfolio piece before completion
AI Systems & Deployment
An advanced programme on building dependable AI systems, covering deployment, monitoring, and responsible practices. Designed for learners ready for substantial, real-world projects with ongoing mentorship and career support. The full scope and schedule are set out clearly before joining.
What you work through
- Containerising and serving ML models (Docker, FastAPI)
- Monitoring deployed models — drift detection and logging
- Responsible AI: bias auditing, fairness metrics, explainability
- A substantial end-to-end system project with mentored review
- Career support: portfolio presentation, role guidance, interview prep
Choosing the Right Programme
Compare the three programmes
Use this table to understand what each level covers and which one matches where you are now.
| Feature | AI Foundations ฿2,490 |
Applied ML ฿5,100 |
AI Systems ฿8,400 |
|---|---|---|---|
| Prior coding experience required | None | Python basics | Intermediate ML |
| Recorded sessions | |||
| Named mentor with written feedback | |||
| Portfolio project included | Small guided | Substantial piece | Full system |
| Deployment and production topics | |||
| Career support | |||
| Approximate duration | 8 weeks | 10–12 weeks | 14 weeks |
Best for
AI Foundations
Complete beginners and career changers approaching programming for the first time
Most popular
Applied ML
Learners with some Python background who want practical project experience
Best for
AI Systems
ML-experienced learners who want to move into production systems and deployment
Standards
Shared standards across all programmes
Data privacy and security
Learner data and submitted work are stored securely. Neither are shared externally for commercial purposes.
Annual curriculum accuracy review
Every programme is reviewed against current practice annually. When tools or methods have changed, the content is updated and learners are informed.
One working day mentor response
Mentors commit to responding to submitted work and questions within one working day, Monday to Friday.
Responsible AI woven in
Ethics, bias, and accountability are not optional add-ons. They are part of every programme's main content.
Full outline before payment
Detailed programme documentation is available to review before you pay anything. Write to us and we will send it directly.
All-inclusive single price
Every resource needed to complete the programme is included in the published price. Nothing is an optional extra.
Pricing
Programme fees
All prices in Thai Baht. Each price covers the full programme — no upgrades or add-ons required.
AI Foundations
฿2,490
per programme
- ~8 weeks, ~4–6 hrs/week
- All sessions and materials
- Named mentor, written feedback
- Guided final project
Applied ML · Most popular
฿5,100
per programme
- ~10–12 weeks, ~5–7 hrs/week
- All sessions and materials
- Named mentor, written feedback
- Substantial portfolio project
AI Systems & Deployment
฿8,400
per programme
- ~14 weeks, ~6–8 hrs/week
- All sessions and materials
- Named mentor, written feedback
- Full-system project + career support
Next Steps
Not sure where to start? Ask us directly.
Send a message with your background and what you are hoping to build, and we will suggest a sensible starting point. There is no commitment in the conversation.
Start a Conversation