Student Experiences
What people found after putting in the work
These are accounts from people who studied with us — what they found difficult, what they found useful, and where they ended up.
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From students who completed our courses
Supawit Phromthep
Bangkok · Intro to AI and Coding
"I had tried a couple of free courses before and always got stuck around week two. The difference here was having a mentor who would actually look at my code and point out what I had misunderstood. By week eight I was working through problems I thought were beyond me."
May 2025
Nattawan Krongthong
Chiang Mai · Machine Learning in Practice
"Working online from Chiang Mai was not a problem at all. The platform is clear, the feedback comes back quickly, and the course felt like it was designed by people who actually know what they are talking about. I appreciated that the content did not pretend things are simpler than they are."
April 2025
Apisit Tanasarn
Bangkok · AI Developer Portfolio Track
"The Portfolio Track was a significant investment of time and money. In the end, I finished with a project I could actually explain to people and show them running. The 1:1 reviews were the most useful part — direct, specific, and more useful than any automated feedback I have seen."
May 2025
Wanida Chomanan
Nonthaburi · Intro to AI and Coding
"I was working full time and worried I would not keep up. The weekly structure made it manageable. I did not love every module — the data types section took longer than I expected — but I was always able to ask about the parts I found confusing and get a useful answer."
April 2025
Rattanaporn Suebthai
Bangkok · Machine Learning in Practice
"The peer group element surprised me — I did not expect it to matter much, but discussing problems with other people at the same stage was genuinely useful. You realise quite quickly that most of the confusion you have is shared, and that makes it easier to work through."
May 2025
Panya Punprasit
Phuket · AI Developer Portfolio Track
"Twenty-four weeks is a long time, but the course is designed in a way that keeps you moving. I appreciated that the scope of the portfolio project was something I chose within a set of constraints — it made the work feel like mine rather than something I was just completing."
April 2025
Detailed Accounts
Three student journeys
Methee Thanawat
Bangkok · Took all three courses over 14 months
Starting point
An admin background with no coding experience. Wanted to shift into a technical role but did not know where to start or whether it was realistic.
Through the courses
Completed Intro, then ML in Practice after a two-month break. Found the Portfolio Track demanding but manageable with the 1:1 sessions. Finished with a project classifying support ticket categories.
Where things stand
Applied for data roles after finishing and found the portfolio project gave him concrete things to discuss in interviews. Currently in a data support role while continuing to build further skills.
Jantima Laothong
Khon Kaen · Machine Learning in Practice
Starting point
A science degree and some Python from university, but no applied ML experience. Studying remotely while working part-time.
Through the course
The sixteen-week format fitted around her schedule. Found weeks ten to thirteen — the unsupervised methods section — the most challenging, but mentor support kept her moving through it.
What she took from it
Left with a much clearer sense of how to approach a dataset from scratch and how to evaluate whether a model is actually useful — skills she now applies in a research assistant position.
Danai Suphanit
Bangkok · Intro to AI and Coding
Starting point
A teacher who had read about AI in education and wanted to understand it at a practical level — not just to talk about it, but to actually see how it works.
Through the course
Twelve weeks alongside full-time teaching was manageable but required discipline. The bilingual support was important — some technical concepts were easier to work through in Thai first.
What changed
Finished with a genuine understanding of how a classifier works — enough to discuss it accurately with students and to feel confident that he knows what he does and does not yet understand.
Reach Us
Talk to us before you decide
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Phone
+66 80 392 6175 -
Email
[email protected] -
Address
215 Phetkasem Road, Bang Khae, Bangkok 10160, Thailand -
Office Hours
Monday – Friday: 9:00 – 18:00 (ICT)
Saturday: 10:00 – 15:00
180+
Course completions to date
4.7
Average satisfaction score across cohorts
3
Structured courses with full mentor support
<1 day
Typical response to student questions
Next Step
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These accounts give one perspective. If you have questions that were not covered here, we are glad to answer them directly.
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