Three Courses,
One Clear Direction
The Panya AI curriculum moves from Python and AI fundamentals through practical model-building to advanced system design. Each programme builds directly on the previous one.
How the Curriculum Is Structured
Most AI courses treat each topic in isolation. Panya AI programmes are built around a single learning path: each course assumes and extends knowledge from the previous one. This means less repetition, less confusion about what level something is pitched at, and a clearer sense of progress.
Theory is covered concisely so that most time goes to writing and reviewing code. Weekly assignments are short enough to fit into a busy schedule but substantial enough to require genuine application of what has been covered. All work is reviewed by a named mentor.
Foundations of AI & Python
8 weeks · ฿4,500 · Beginner level
Applied Machine Learning
10 weeks · ฿9,800 · Intermediate level
Deep Learning & AI Systems
12 weeks · ฿18,000 · Advanced level
Weekly assignment rhythm
Each week closes with a practical assignment. Submission is followed by written mentor feedback, usually within two working days.
Code review at every stage
Applied ML and Deep Learning programmes include code reviews alongside assignment feedback, focusing on clarity, correctness, and engineering judgement.
Capstone portfolio project
Each programme closes with a substantial project that demonstrates the full range of skills from that level. Projects are designed to be kept and shown.
Foundations of AI & Python
An entry-level programme covering programming fundamentals and AI thinking. You will study Python from the beginning, work with data, and explore core machine-learning concepts through guided projects. Designed for those new to the field who want a steady, well-paced start. Mentor feedback and a portfolio project are included across the eight-week programme.
Applied Machine Learning
A practical intermediate programme focused on building and evaluating models with real datasets. You will work through common supervised and unsupervised algorithms, study model tuning and validation, and practise clean coding approaches. A good fit for those with basic Python knowledge. Includes weekly assignments, code reviews, and a capstone project across ten weeks.
Deep Learning & AI Systems
An advanced programme covering neural networks, model deployment, and the design of complete AI systems. You will build and ship a substantial project with mentor support, exploring architecture decisions, training strategies, and evaluation at scale. Suited to those with prior machine-learning experience. Runs across twelve weeks with regular guidance sessions.
Which Course Is Right for You?
Use this table to identify where you fit in the pathway and what is included at each level.
| Feature | Foundations | Applied ML | Deep Learning |
|---|---|---|---|
| Duration | 8 weeks | 10 weeks | 12 weeks |
| Prior Python needed | |||
| Mentor feedback | |||
| Code review | |||
| Portfolio project | |||
| Price | ฿4,500 | ฿9,800 | ฿18,000 |
Standards Across All Programmes
These apply at every level, regardless of which course you are enrolled in.
Data Privacy
Student data and submitted work are stored securely and never shared outside the school.
Current Content
Courses are reviewed and updated twice each year to reflect changes in tools and practice.
Direct Support
All queries go to a person who knows the material — response within two working days.
Peer-Reviewed Lessons
Every lesson in the curriculum is checked by a second practitioner before it goes live.
Not Sure Where to Begin?
Send us a message with a brief description of your background and what you want to build. We will suggest the most appropriate starting point.
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