Teaching AI Development, One Careful Step at a Time
Backprop Labs was built around a simple idea: real skill in AI comes from steady practice, not shortcuts.
Back to HomeA Bench Built for Patient Learning
Backprop Labs started in Bangkok with a small group of engineers who noticed the same pattern again and again: people wanted to learn AI development, but most courses either moved too fast or promised too much. We set out to build something different — a school where each lesson works like a small experiment, run carefully at a tidy bench, with room to make mistakes and try again.
Our mission is straightforward. We want to give people in Thailand and beyond a clear, honest path into Python, machine learning, and applied AI work. No inflated claims about overnight expertise, no pressure to rush through material you have not yet understood. Just structured lessons, real feedback, and a community of people learning alongside you.
Every track we offer, from the AI Starter Lab Course through to the Applied AI Research Studio, follows the same principle: learning happens through repeated, guided practice, not through passive watching. We measure our success by whether learners leave with a portfolio they actually built themselves, and skills they can keep building on their own.
Lab Log
- 2021
Backprop Labs founded in Bangkok by a small team of AI practitioners. - 2023
Expanded from one course to a full set of experiment tracks. - 2025
Introduced mentor-led project reviews across all programmes.
The People Behind the Bench
Narin Phongsuwan
Lead Instructor, Machine Learning
Guides the Experiment Track with a focus on clear, reproducible workflows for real datasets.
Somsak Kittikorn
Curriculum Lead, Starter Lab
Designs the beginner path so new learners can build confidence step by step.
Praewa Wattana
Mentor, Applied AI Research Studio
Supports learners building end-to-end projects, from first draft to final review.
Standards We Hold Ourselves To
Clear Curriculum Design
Every lesson is reviewed by instructors before publication to keep material accurate and well paced.
Data Privacy Care
Learner information is handled with clear consent and stored only as long as needed.
Mentor Code Review
Project work receives structured feedback so learners understand not just what to fix, but why.
Recognized Coursework
Completion records reflect real project outcomes, useful when sharing your work with others.
Expertise Rooted in Practice
Our instructors bring direct experience building and deploying applied machine learning systems, and they carry that background into how each course is structured. Rather than covering topics in isolation, lessons connect Python fundamentals, data handling, and model experimentation into a single continuous thread that mirrors how work actually happens in a small development team.
Learners at Backprop Labs move through material at a pace that suits their existing background, whether they are picking up programming for the first time or refining skills gained elsewhere. This grounded approach means graduates leave with notebooks, project briefs, and documentation they wrote themselves, giving a realistic sense of what applied AI development actually involves day to day.
Based in Bangkok, we serve learners across Thailand and the wider region, adapting scheduling and support to fit different time zones and working patterns without compromising the depth of the material.
Curious Where You Would Fit?
Reach out and tell us where you are starting from — we will help you find the right track.
Contact Us