Teaching AI the Patient Way
Panya was founded on the idea that meaningful skills take time to develop — and that a well-structured, supportive environment makes all the difference.
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Panya was established in Bangkok with a particular intention: to offer AI and machine learning education that doesn't try to rush people toward results. The name comes from the Pali and Thai word for wisdom — something that accumulates through careful study, not shortcuts.
Our founding team came from backgrounds in software engineering, data science, and technical instruction. Over time, they noticed that many learners who attempted AI education dropped out not from lack of ability, but from content that moved too quickly, assumed too much, or felt overwhelming. Panya was designed as a response to that pattern.
We built each program around clear learning objectives, incremental steps, and genuine feedback — the kind of structure that lets you see your own progress and stay motivated through a subject that genuinely takes time to understand.
Our Mission
To make AI development education accessible to people who value depth over pace — providing structured, honest, and supportive learning that builds real capability over time.
Clarity
Every concept is explained in plain, accessible language. We don't obscure complexity with jargon — we work through it step by step.
Patience
There's no timer. No pressure to keep pace with a cohort. You study when it works for you, and take the time each topic deserves.
Honesty
We're straightforward about what our programs cover, how long they take, and what you'll be capable of after completing them.
The Team Behind Panya
A small, experienced group with backgrounds in AI research, software engineering, and online instruction.
Somchai Kriangkrai
Founder & Lead Instructor
Former data scientist with over a decade working on ML systems in Bangkok's tech sector. Designed the Foundations and Applied ML programs from the ground up.
Nattaporn Phansri
Curriculum Designer
Specialises in making technical content approachable for newcomers. Wrote the instructional framework that underpins all three Panya programs.
Aroon Thammavit
Senior AI Engineering Mentor
Leads the Advanced AI Engineering Track and provides capstone project guidance. Background in model deployment and production ML systems.
How We Maintain Quality
The standards and practices we hold ourselves to across every program and learner interaction.
Reviewed Curriculum
All course materials are reviewed by at least two instructors before publication, and updated whenever the underlying technology or best practices shift.
Experienced Mentors
Feedback on submitted work comes from instructors with active professional experience, not student assistants or automated systems.
Data Privacy
Learner data is handled carefully and never sold or shared for marketing purposes. Our Privacy Policy sets out our commitments in full.
Regular Content Updates
The AI field moves quickly. We review and update program content on a rolling basis so what you're learning remains relevant to current practice.
Learner Feedback Loop
We collect and read feedback from every enrolled learner. Issues with explanations or exercises are taken seriously and addressed promptly.
Accessible Design
Course materials are designed to be readable and navigable on any device, with clear text, well-labelled code samples, and logical structure throughout.
AI Development Education in Bangkok
Panya operates as an online school based in Bangkok, serving learners across Thailand and internationally. Our programs span beginner through advanced levels in AI and machine learning development — an area that has become central to software engineering, research, and data-driven decision-making in a wide range of industries.
Rather than trying to compress months of study into a few weekends, we structure our programs over a period that allows for genuine understanding. Topics are introduced in a considered order, with each section building on what came before. Code samples are readable and annotated. Exercises are practical rather than abstract. Mentor feedback is specific to the work submitted.
We work with learners from a range of backgrounds — those moving into software from other fields, developers expanding their skill set, and researchers looking to apply ML to domain-specific problems. If you're uncertain whether any of our programs is the right fit, we encourage you to reach out and ask before enrolling. That kind of conversation is something we're glad to have.
Have Questions About Panya?
We're happy to talk through which program suits your current level and what you're hoping to develop. No pressure, just a straight conversation.
Get in Touch