340+
courses completed
4.7
average rating
92%
completion rate
14
cohorts delivered
What learners say
Reviews from recent cohorts
"I spent two years reading AI tutorials online and never finished anything. The Groundwork course forced me to actually write code and submit it. The feedback I got back on my pandas exercises was the most useful thing I had received in two years of trying to learn this alone."
Farizal Hatta
Supply chain analyst · Shah Alam
Jun 2025 · Groundwork
"The Model Building track is the right level of hard. Not so hard that I fell behind after a long day, but hard enough that I was learning something genuinely new each week. The tutor code review on my second project was particularly valuable — it caught a data leakage issue I had completely missed."
Woon Qi Lin
Financial analyst · Petaling Jaya
May 2025 · Model Building
"I completed the Capstone in April and the hosted project page is still live. I showed it in a technical interview three weeks after graduating and they asked about implementation decisions rather than whether I had the knowledge. That is exactly what I needed."
Nadia Ismail
Civil engineer · Kuala Lumpur
Apr 2025 · Capstone
"The 8 pm start is a genuine differentiator for me. I have a toddler at home and the earlier the session, the less time I have between finishing work and getting started. Two hours from 8 to 10 is workable. I finished the Groundwork track in June and I am enrolling in Model Building in September."
Amirah Kamaruddin
HR manager · Subang Jaya
Jun 2025 · Groundwork
"Model Building is intense on weekends but that is expected at this level. The office hours on Saturday mornings kept me from going in circles on the transformer sessions. Ahmad's explanations in the forum were genuinely clearer than anything I found trying to sort it out on my own."
Rajesh Govindaraj
Software developer · Klang
May 2025 · Model Building
"The technical writing workshop in the Capstone is one of the most useful things I have done in a long time. Writing clearly about what your model does and does not do turns out to be a distinct skill that most development courses just skip. I would not have thought to ask for it but I am glad it was included."
Chai Yuan Ning
Accountant · Puchong
Apr 2025 · Capstone
Learner journeys
Case studies from recent cohorts
Case study · Groundwork → Model Building · 2024–2025
From logistics operations to ML model deployment in twelve months
Challenge
Working as a logistics coordinator at a Selangor freight company, Siti wanted to move into a data or AI role but had no programming background and could not take time off work for a full-time course. She had tried two self-paced online courses but had not completed either.
What she did
She completed the Groundwork track in September 2024, then enrolled in the Model Building track the following January. The evening schedule meant she kept her full-time role throughout both tracks. She used the Saturday office hours heavily during the transformer architecture section of Model Building.
Where she is now
She moved into a junior data analyst role at a Petaling Jaya technology company six weeks after completing the Model Building track. Three of her four assessed projects are publicly visible in her GitHub repository and were referenced directly in her technical interview.
"The forum on Tuesday and Thursday evenings was what made the difference. I could ask something at 9:30 pm and have an answer before I went to sleep."
Case study · Capstone · 2025
Building a demand forecasting model for a family retail business
Challenge
Hafiz had completed both the Groundwork and Model Building tracks and entered the Capstone wanting to build something with direct application to his family's hardware retail business in Klang. He had not deployed a model to a production environment before and was uncertain how to scope a twenty-week project appropriately.
What he did
Working with his assigned mentor Daniel, he scoped the project in the first two weeks: a demand forecasting model using three years of sales data from the family business. Fortnightly peer review sessions shaped the feature engineering choices and the final evaluation framework. The model was deployed to a cloud environment in week eighteen.
Outcome
The project is hosted on his public project page and documented with a written report covering model selection, evaluation, and the limitations of the approach. He defended the report before the cohort in May 2025 and now uses the model to inform stock ordering decisions at the business, with manual oversight.
"The peer review fortnights were the part I was most apprehensive about. They turned out to be where I learned the most — seeing what choices other people made for different problems was genuinely useful."
Case study · Model Building · 2025
Adding model evaluation skills to an existing software development role
Challenge
Li Wei had been writing Python for four years in a backend development role at a Kuala Lumpur software company. His team was beginning to work with ML components but he had no formal background in model building or evaluation and did not know how to assess whether a model his team was adopting was actually performing adequately.
What he did
He entered the Model Building track in January 2025 after a short enrolment conversation confirmed he did not need the Groundwork prerequisite. He focused particularly on the evaluation design sessions and the second and third assessed projects, which involved building and critiquing classification pipelines.
Outcome
He completed the track in May 2025 with all three projects submitted and reviewed. He now leads the model evaluation work within his team and has run two internal sessions for colleagues on how to interpret model performance metrics — drawing directly on content and examples from the Model Building track.
"The evaluation design section was exactly what I came for. I had been accepting model performance numbers without knowing what questions to ask. That changed."
Standards and credentials
What we stand behind
Registered in Malaysia
Operating as a registered business entity in Selangor since 2021.
Honest completion records
Records describe what was studied and produced — no inflated credential claims.
PDPA-compliant data handling
Personal data handled under the Malaysian Personal Data Protection Act 2010.
Verified learner reviews
Reviews collected from enrolled cohort members only — not open submission.
Get in touch
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We are happy to talk through which track fits your background before you commit to anything.
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The next Groundwork and Model Building intakes open in September 2025. Capstone cohorts are scheduled by arrangement.
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