Notes From the Bench
Honest reflections from learners who have worked through our tracks — the useful parts and the parts they wish they had known sooner.
Back to HomeWhat People Are Saying
Thanawat W.
Bangkok, Thailand
The Starter Lab Course was exactly the pace I needed. I had tried two other Python tutorials before this and always lost momentum, but the small notebook exercises kept me moving forward each week.
June 14, 2026
Siriporn K.
Chiang Mai, Thailand
Mentor feedback on the Experiment Track was more specific than I expected. My mentor pointed out where my validation approach was leaking data, something I had missed for weeks on my own.
June 20, 2026
Anurak P.
Nonthaburi, Thailand
Good course overall. The live sessions occasionally ran a little later than scheduled, but the content itself was solid and the project briefs felt genuinely useful for my portfolio.
June 9, 2026
Napat C.
Pattaya, Thailand
I came in with almost no coding background. The recorded lessons let me pause and rewatch tricky parts as many times as I needed, which made a real difference.
June 25, 2026
Rungnapa B.
Bangkok, Thailand
The Applied AI Research Studio pushed me further than I expected in a good way. One-to-one mentoring meant I couldn't hide from the harder parts of the project, which was ultimately the point.
June 17, 2026
Kittipong T.
Khon Kaen, Thailand
Clear structure, no wasted time. I appreciated that the pricing was upfront from the start with no extra charges appearing partway through the programme.
June 22, 2026
A Few Learner Journeys
From Spreadsheets to Scripts
Timeline: 6 weeks · Starter Lab Course
Challenge: An operations analyst wanted to automate repetitive spreadsheet tasks but had never written code.
Approach: Worked through the Starter Lab notebooks focused on data handling with Python.
Result: Built a script that cut a weekly two-hour reporting task down to about fifteen minutes.
"I did not expect to actually use what I learned the same month I finished."
Rebuilding a Forecasting Model
Timeline: 10 weeks · Experiment Track
Challenge: A small retail team had a demand forecasting spreadsheet that broke whenever inputs changed.
Approach: Ran a series of model experiments comparing simple regression against a gradient boosting approach.
Result: Reduced average forecast error by roughly 18 percent compared to the previous spreadsheet method.
"The mentor sessions caught mistakes I would not have noticed on my own."
A Portfolio Project From Scratch
Timeline: 4 months · Research Studio
Challenge: A recent graduate needed a substantial applied project to show prospective employers.
Approach: Scoped a full image classification project with a mentor, building it in staged milestones.
Result: Completed a documented end-to-end project with a working demo and written report.
"Having someone check my work at every stage kept me honest about what I actually understood."
A Few Figures
Teaching applied AI
Learners supported
Average learner rating
Course completion rate
Contact Information
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134 Vibhavadi Rangsit Road, Chomphon, Chatuchak, Bangkok 10900
Mon–Fri: 9:00–18:00, Sat: 10:00–14:00 (ICT)
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