Three Programs, One Clear Path
Each Panya program is designed to prepare you for the next. Start where you are, study at your pace, and build real skills in AI and machine learning development step by step.
Back to HomeHow Our Programs Are Built
Every program at Panya follows the same underlying approach — one developed to support steady, lasting understanding rather than rushed completion.
Incremental Structure
Topics build on one another in a deliberate order. No concept is introduced without the groundwork for it being in place.
Annotated Code
All code samples include comments explaining what each part does. You understand the why, not just the what.
Practical Exercises
Each section ends with exercises using real or realistic data. Completion is checked through submitted work, not multiple-choice.
Mentor Review
Project submissions are read by an instructor who gives written feedback specific to the work, not generic responses.
Foundations of AI Development
A patient introductory program covering the basics of programming for machine learning, core concepts, and small practical projects. Designed for newcomers who want a calm, well-structured start. Materials are available to revisit at any time, and guided exercises come with supportive feedback. No prior background in programming or mathematics is assumed.
- Introduction to Python for data work
- Core ML concepts — what models are, what they do
- Small practical projects with guided exercises
- Instructor feedback on submitted work
- Suggested timeline: 6–10 weeks at your own pace
Applied Machine Learning Program
An intermediate program building on the Foundations. Covers common model types — regression, classification, clustering — along with data preparation, feature engineering, and evaluation techniques. Projects are worked through gradually, with the emphasis on understanding what you're doing and why it works. Mentor feedback is provided throughout. Suited to learners who have completed the Foundations program or have comparable experience.
- Common ML model types in depth
- Data preparation and feature engineering
- Model evaluation and selection techniques
- Hands-on projects with mentor feedback
- Suggested timeline: 8–12 weeks at your own pace
Advanced AI Engineering Track
A thorough program covering model development from design through to evaluation and deployment. Topics include model architecture decisions, training practices, performance assessment, and the practicalities of putting models into production. The program ends with a guided capstone project that learners design themselves. The pace remains considered and supportive, encouraging careful, lasting understanding. Suited to those who have completed earlier study and wish to develop professional-level skills thoughtfully.
- Model architecture and training practices
- Evaluation, optimisation, and deployment
- Supervised capstone project with written feedback
- Professional-level skills and practices
- Suggested timeline: 12–16 weeks at your own pace
Compare the Programs
Not sure which level to start at? Here's a side-by-side view to help you decide.
| Feature | Foundations ฿3,600 |
Applied ML ฿5,800 |
Advanced Eng. ฿7,900 |
|---|---|---|---|
| Prior experience needed | None | Foundations level | Applied ML level |
| Python programming | |||
| Core ML concepts | |||
| Multiple model types in depth | |||
| Data preparation & feature engineering | |||
| Deployment practices | |||
| Supervised capstone project | |||
| Best for… | Complete beginners | Those with basic skills | Professional development |
Standards Across All Programs
Regardless of which program you're in, these practices apply throughout.
Data Privacy
Learner data is stored securely and never shared with third parties for marketing purposes.
Ongoing Content Review
All program materials are reviewed by instructors on a rolling basis and updated when the field moves on.
Human Support
Questions and feedback requests are answered by the Panya team directly — not routed through automated systems.
Access on Any Device
Course materials are designed to read well on laptop, tablet, or phone — with code panels that scroll horizontally on smaller screens.
Lifetime Access to Materials
Once enrolled, materials remain accessible for as long as the program is in operation. Revisit content whenever you need a refresh.
Single Payment, Full Access
Every program is priced as a one-time payment. No recurring charges, no paywalled modules, no surprise fees.
Program Pricing
One price per program, in Thai Baht. No subscriptions, no recurring charges.
Foundations
- Full program access
- Guided exercises with feedback
- Self-paced study
- No expiry on access
Applied ML
- Full program access
- Hands-on projects with mentor feedback
- Model evaluation techniques
- Self-paced, no expiry
Advanced Engineering
- Full program access
- Deployment and production practices
- Supervised capstone project
- Self-paced, no expiry
Not Sure Which Program to Start With?
We're happy to talk through your current level and which entry point makes the most sense. Reach out and we'll give you a straight answer.
Get in Touch