What makes studying here different from the alternatives
The difference is mostly in the details — how feedback is written, how cohorts are sized, how courses are paced. These things matter more than most people expect.
← Back to HomeWhat studying at Panya Academy involves
Written mentor feedback
Every exercise submission is reviewed by a mentor who writes specific comments. The feedback addresses what you did well and what would improve the work — not a numeric score.
Small, manageable cohorts
Cohorts are kept small so that each learner is visible to their mentor and to the peer group. You are not one of thousands; there is room for your specific questions.
Weekly structure, flexible timing
Each course is structured by week. Within the week, you decide when to study. This works well for people with jobs, families, or other commitments alongside their learning.
Practical exercises from the start
You write code and work with data from week one. Concepts are introduced in the context of doing something with them, rather than as standalone theory to be memorised.
A clear path between courses
The three courses connect in a sensible order. Foundations → Applied Machine Learning → Career Track. You can enter at any point that suits where you are, and progress when you are ready.
Work you can actually show
Each course produces exercises and mini-projects. The Career Track programme is built around a portfolio project that you develop with mentor guidance, using a brief you write yourself.
Expertise in the subject
The mentors who teach at Panya Academy have practical experience in the areas they cover. Kasem spent seven years as a data scientist. Nattawut works on production ML systems. Araya has been teaching programming to beginners for five years.
- Practitioners with real-world ML and data experience
- Curriculum written and regularly reviewed by the team
- Feedback written by the same people who designed the exercises
A process that supports learning
The weekly structure means there is always a clear next step. Materials are released by week, exercises come with the week's content, and mentor feedback arrives before the following week begins — so you can adjust your approach as you go.
- Weekly releases prevent information overload
- Feedback arrives in time to inform the next week's work
- Progress is visible and easy to follow
Support when you need it
Beyond written feedback, learners have access to a discussion channel for each cohort where questions can be asked and discussed with peers and the mentor. Career Track learners also have scheduled one-to-one review calls at structured points in the programme.
- Cohort discussion channel throughout the course
- Scheduled mentor calls for Career Track learners
- Mentor reaches out if a student falls significantly behind
Transparent, straightforward pricing
Course fees are listed openly in Thai Baht. There are no hidden costs, no upsells mid-course, and no requirement to purchase additional materials. Everything you need to complete the course is included in the enrolment fee.
- Foundations — ฿7,400 for twelve weeks
- Applied Machine Learning — ฿10,800 for sixteen weeks
- Career Track — ฿13,800 for twenty-four weeks
Honest approach to outcomes
We describe what each course involves and what it asks of you, not what we hope might happen if everything goes well. Completing the Foundations course means you can write basic Python and understand machine learning concepts — that is what the course is designed to produce.
- Course descriptions match what the courses actually cover
- Prerequisites are stated clearly so you can self-assess
- Career Track portfolio is work you can legitimately present to others
Panya Academy vs typical online AI courses
| Feature | Typical online courses | Panya Academy |
|---|---|---|
| Cohort size | Often hundreds or thousands | Small cohorts with limited places |
| Mentor feedback | Automated or absent | Written by a person, specific to your work |
| Course duration | Self-paced, often abandoned | Weekly structure keeps you on track |
| Peer discussion | Large forums, low signal | Small cohort channel, manageable |
| Pricing transparency | Sometimes unclear; upsells common | Fixed fee, all-inclusive, stated upfront |
| Portfolio project | Generic templates | Personalised, mentor-reviewed |
| Outcome honesty | Often overstated promises | Describes what each course produces, clearly |
Specific things we do that are less common elsewhere
Feedback rubrics designed in-house
We developed our own written feedback rubrics so that different mentors leave comparable, useful comments. Students can expect a certain level of specificity regardless of which mentor reviews their work.
Content updated before each cohort
The AI development field moves quickly. We review course exercises before each new cohort starts and update any content that no longer reflects current tools or practices.
Personalised Career Track brief
In the Career Track programme, each student develops their own portfolio project brief with mentor guidance, rather than completing a pre-set assignment. The resulting work is genuinely yours.
Written for learners in the region
Course materials are in English, but written to be clear for learners for whom it is not a first language — which is the case for many people studying in Thailand and across Southeast Asia.
Where Panya Academy stands
Take a look at the courses themselves
The detailed course pages describe what each programme covers, what it asks of you, and how the weeks are structured.