Codeloom learner experiences

Honest accounts from people who've been through the courses

These are genuine experiences — varied, specific, and including the things that were difficult alongside the things that worked.

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340+

Learners enrolled

4.8/5

Average course rating

91%

Completion rate

4

Years running courses

From the cohorts

WP

Wanida Phromthong

Marketing analyst · Bangkok

I came in knowing absolutely nothing about Python — not even what a variable was. The first two weeks felt slow, which in hindsight was exactly right. By week five I was writing my own data cleaning scripts and actually understanding what they did. The mentor feedback was what made the difference; I'd get a paragraph of notes on each submission explaining what worked and what to rethink.

Intro to AI & Python · May 2025

KS

Kritsada Suwan

Software developer · Chiang Mai

I had some Python background from work but deep learning was new. The workshop moved faster than the intro course, which suited me. The capstone project took longer than I expected — I probably underestimated how much iteration goes into actually training a model on a messy dataset. That said, finishing it felt genuinely satisfying in a way that completing a quiz never does.

Deep Learning Workshop · April 2025

NJ

Nattaya Jaiyen

Data coordinator · Chiang Rai

Working full-time and studying at the same time is genuinely hard. Codeloom knows this — the pacing doesn't assume you can give eight hours on a weekday. I had a rough patch around month three of the engineering program and reached out to ask about catching up. The response was practical rather than reassuring: they helped me rearrange which modules to prioritise. That kind of support matters.

Applied AI Engineering · May 2025

PT

Pawin Thongchay

Freelance designer · Bangkok

Honestly, I wasn't sure after the first week whether I'd chosen the right place. The pace was slower than I wanted. But I stayed and I'm glad I did — by week four it clicked why things had been introduced in that order. I'd taken a faster course before that left me able to copy code without understanding it. This was different. I can now write things from scratch and debug them without copying from Stack Overflow.

Intro to AI & Python · April 2025

SR

Supaporn Rakthai

Research assistant · Chiang Mai

The weekly sessions with Kasem were the highlight of the Deep Learning Workshop for me. He has a way of explaining gradient descent that makes it feel almost obvious in retrospect. I asked some genuinely confused questions and never felt embarrassed for doing so. The code review feedback was occasionally blunt — in a good way. You know exactly what to fix and why.

Deep Learning Workshop · May 2025

TL

Thanakrit Lertphon

Junior analyst · Lampang

I enrolled in the engineering program with about eighteen months of Python experience. The first two months covered things I knew — but the framing was different. I kept learning how to think about engineering problems, not just write code for them. Months four and five on deployment were genuinely new and difficult. I needed more time there than the schedule assumed, and my mentor adjusted accordingly.

Applied AI Engineering · March 2025

From starting point to outcome

Three detailed accounts of what the experience looked like from beginning to end.

WP

Wanida · Marketing → Data-aware analyst

Intro to AI & Python · 8 weeks

Starting point

Working in marketing analytics using Excel and Google Sheets. Wanted to work with larger datasets and understand what the data team's Python scripts were doing — couldn't follow even basic code.

What the course covered

Python fundamentals, pandas for data manipulation, exploratory analysis, and a guided project using a real customer dataset from a retail business. Weekly mentor sessions helped clarify where things weren't landing.

After completing

Can now read and modify the team's Python scripts. Has written three independent analysis scripts for her own work. Plans to enrol in the Deep Learning Workshop in the next cohort.

"I didn't expect the certificate to feel like much, but it mattered to me because I knew what was behind it."
TL

Thanakrit · Analyst → ML-capable engineer

Applied AI Engineering Program · 6 months

Starting point

Junior analyst with Python experience but no knowledge of model deployment or engineering workflows. Could train models in Jupyter notebooks but couldn't put anything into production.

What the programme covered

End-to-end pipeline development, experiment tracking, deployment via FastAPI, monitoring, and collaborative Git workflows. Portfolio built across four projects, each adding a layer of complexity.

After completing

Moved into a junior ML engineering role at a Chiang Mai-based startup. Portfolio from the programme was cited in interviews as concrete evidence of practical capability.

"Month five was hard. But Nathapong never made me feel like the difficulty was my failure — it's just that deployment is genuinely complex."

Have questions before deciding?

The team is happy to answer questions about which course suits your background — no commitment needed.

Address

Nimmanhaemin Soi 9, Chiang Mai

Office Hours

Mon–Fri 9:00–18:00 ICT

Ready to see what the experience is like for yourself?

Send a message and we'll help you find a sensible starting point — based on where you actually are, not where you think you should be.

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