Learners sharing their experiences

Learner Experiences

What people say after working through our courses

These are accounts from people who enrolled, did the work, and finished the course. We have not smoothed out the rough edges.

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4+

Years running

620+

Learners enrolled

4.7/5

Average satisfaction

91%

Cohort completion rate

Reviews

What learners have written about the courses

RH

Rashida Hamzah

Petaling Jaya · Stage 01

"I had tried two other online Python courses before this one and stopped both within the first week. The material here moves more slowly at the start, which I needed. By week five I was writing code I actually understood rather than copying without knowing why."

June 2025

FM

Fauzan Mohd Rais

Kuala Lumpur · Stage 02

"The code review sessions were more useful than I expected. Having someone look at what you have actually written, not just a model answer, shows up things you would not spot on your own. The portfolio project took longer than I planned but it is genuinely mine, which counts for something."

June 2025

YB

Yusra Binti Azhar

Shah Alam · Stage 01

"I was worried that studying online would mean being on my own with videos and no one to ask. That is not how it works here. The community is active and the mentors reply quickly. It still takes real effort — I want to be clear about that — but you are not figuring everything out alone."

May 2025

KL

Kang Liang Wei

Subang Jaya · Stage 03

"The third stage is genuinely challenging, which was what I needed after the second one. The capstone project was the hardest thing I had worked on in a learning context, and the mentor session at the end was honest about what I could improve. That kind of direct feedback is hard to get elsewhere."

June 2025

NT

Norzahra Talib

Cyberjaya · Stage 02

"I enrolled in the second stage because I already had some Python from my degree. The jump into machine learning was steeper than I expected in the middle weeks — I had to ask for extra help twice. To be fair, the mentors were responsive and the extra help came. I finished the portfolio and was glad I stuck with it."

May 2025

SP

Selvam Pillai

Klang · Stage 01

"I am not a young person and I was genuinely unsure whether an online course would work for me. The pace of the first stage was right — not too fast. The recorded lessons meant I could watch things twice when I needed to. I would take the second stage if the schedule works out this year."

June 2025

Case Studies

Learner journeys in more detail

A closer look at how three different people worked through the programme and what they took away.

Case Study 01

From admin work to writing her first ML model — Azreen, Stages 01 & 02

Challenge

Azreen had been working in administrative roles and wanted to move into a technical area without doing a full degree. She had no programming background and was not sure where to start. She found several course options but was put off by the pace and the cost — most were priced in USD and moved quickly past basics she had not yet understood.

What she did

She enrolled in Stage 01 in January 2025 and set aside eight hours each week around her work schedule. She attended most live sessions and watched the others the following day. She asked questions on three occasions and received detailed responses each time. After finishing, she enrolled directly in Stage 02 the following cohort.

Where she is now

By June 2025, Azreen had completed Stage 02 and submitted a portfolio project — a small model that predicted equipment maintenance needs based on sensor data from her previous workplace. She is now exploring whether Stage 03 makes sense in the short term or whether she wants to consolidate what she has before going further.

"I did not think I could do something like this. I am not saying it was easy — it was not — but I got through it and I understand what I built."

Case Study 02

A software developer adding AI to what he already knew — Hafiz, Stage 03

Challenge

Hafiz had four years of experience as a web developer and was comfortable with Python, but had avoided AI because he did not know where to start. He found most introductory courses repeated things he already knew for too long before reaching anything new. He wanted to go directly to building applications.

What he did

After a short conversation with the Akal Suria team, he was advised to begin at Stage 03 given his background. He joined the April 2025 cohort and spent twelve weeks working on a capstone project — an AI-assisted support tool for a freelance project he was already running. He found the deployment section most relevant to his existing skills.

Where he is now

Hafiz completed Stage 03 in June 2025. His capstone application is now in limited use on one of his client projects. He described the process as filling in a specific gap — not rebuilding everything he knew, but connecting it to AI in a structured way he had not managed independently.

"Going directly to Stage 03 made sense for where I was. The team were straight with me about which stage to pick, which I appreciated."

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