Honest accounts from people who joined Nadi Tech at different stages and what they took away.
Back to HomeReviews from recent participants across all three tracks.
Faiz Hakim
Petaling Jaya, Selangor
"I had tried two self-paced ML courses before and stopped both around week three. The difference here was the weekly clinic. Knowing there was a session coming up where I could ask the specific question I was stuck on kept me from giving up and moving on."
Machine Learning Workshop · May 2025
Rashidah Nordin
Kuala Lumpur
"The Introduction track was the right call for me. I had zero Python experience and was worried I would be left behind. The pace genuinely matched where I was. The project at the end felt like mine — not something I copied from a tutorial."
Introduction to AI Building · April 2025
Jeevan Thangam
Subang Jaya, Selangor
"I came in as a backend developer wanting to understand what the data science team I work with actually does. The ML Workshop gave me that. I can now read their code, follow the reasoning, and ask better questions in planning sessions."
Machine Learning Workshop · March 2025
Lim Wei Shan
Penang
"The Deep Learning Pavilion was tough — I expected that. What I did not expect was how available the instructor was. The capstone feedback was detailed in a way that actually changed how I thought about the model I had built."
Deep Learning Pavilion · May 2025
Noorasyikin Aziz
Shah Alam, Selangor
"I appreciated that the school was upfront about what the track does and does not cover. I asked before enrolling whether the Introduction track would cover computer vision and they said no, clearly, which helped me set the right expectations. That honesty matters."
Introduction to AI Building · April 2025
Suresh Rajan
Johor Bahru
"Completed all three tracks over about eight months. The consistency across all three — the clinic format, the feedback style, the way things were explained — made the progression feel natural rather than like jumping between different platforms."
All Three Tracks · January–May 2025
A closer look at three learner journeys.
Challenge
A government administrative officer in Putrajaya wanted to understand AI tools being introduced to her department but had no technical background and no time for a full degree programme.
Approach
Enrolled in the Introduction to AI Building track. Chose Nadi Tech specifically because the cohort size meant she could ask questions without embarrassment. Attended every clinic session and used the recordings to re-watch two lessons that covered data structures.
Result
Completed the track in six weeks, submitted a project that processed a small dataset from her department, and can now read and lightly modify the Python scripts that feed into her team's reporting dashboard. Has enrolled in the ML Workshop.
"The clinic was the thing. I showed up with what felt like a stupid question in week three, and the instructor worked through it with the whole group. Turns out three other people had the same question."
— Participant, Introduction to AI Building, April 2025
Challenge
A junior web developer in KL wanted to move into ML engineering but found online courses either too shallow or too academic. Could not justify the cost of a bootcamp with no income from it.
Approach
Completed the Machine Learning Workshop. Used the two projects as portfolio pieces — one on a public dataset, one on synthetic data he generated himself to demonstrate the pipeline end-to-end.
Result
Both projects are now on his GitHub profile. He received written feedback noting specific strengths in his evaluation methodology. Enrolled in Deep Learning Pavilion shortly after completion. Starting to apply for junior ML roles in KL.
Challenge
A postgraduate researcher at a Malaysian university needed to move a model she had developed for her thesis into something deployable, but her institution offered no practical training on that transition.
Approach
Joined the Deep Learning Pavilion, bringing her thesis model as the basis for the capstone project. This made the track immediately practical. The instructor provided feedback that directly addressed the gap between her research setup and production patterns.
Result
Her capstone was a packaged version of the thesis model — deployable via a simple API. The feedback she received was specific enough to become part of her thesis appendix. She is now in the alumni community and has referred two colleagues.
If you have questions before enrolling, we are glad to answer them.
Phone
+60 3-2148 9376Address
Jalan Tunku Abdul Rahman 83
50100 Kuala Lumpur
Office Hours
Mon–Fri: 9AM–6PM
Sat: 10AM–2PM
240+
Track completions
4.8/5
Average cohort rating
18
Cohorts completed
3+
Years running
Recognised by Malaysia Digital Economy Corporation as a digital skills development provider.
Curriculum aligned with Python Institute standards for foundational and intermediate competency.
Shortlisted for Best New EdTech at KL Digital Summit, November 2024.
Get in touch and we will help you find the right track and intake timing.
Contact Nadi Tech