Cendana Labs participant experiences

What Participants Say

From the People Who Went Through the Programmes

Feedback from participants in AI Foundations, Machine Learning Track, and Deep Learning Foundry — in their own words.

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Participant Reviews

What Our Learners Have Found

SW

Siti Wardah

Marketing Manager, Kuala Lumpur

"I came into AI Foundations with no coding background at all — I'd tried a couple of online tutorials before and kept losing the thread after a few sessions. This was different. The pace was careful enough that I actually understood what I was writing, not just copying it. The weekly clinic was particularly useful when things felt unclear."

AI Foundations · April 2025

RZ

Razif Zainal

Software Developer, Selangor

"I've done ML courses before, but they tended to be either too theoretical or just reproducing notebook cells without understanding what was happening. The Machine Learning Track forced me to think about why models were behaving a certain way, not just how to run them. The two project reviews pushed me to explain my choices, which exposed gaps I didn't know I had."

Machine Learning Track · March 2025

NL

Nur Liyana

Data Analyst, Penang

"I appreciated that the cohort was small. In larger online programmes I've tried, I could go an entire week without anyone noticing I was lost. Here, the instructor noticed during session two that I was misunderstanding how feature scaling worked, and addressed it directly. That kind of attentiveness changes the experience significantly."

Machine Learning Track · February 2025

AC

Arjun Chandran

Backend Engineer, Kuala Lumpur

"Deep Learning Foundry was challenging in the right way. The capstone was genuinely difficult — I had to make architectural decisions I couldn't look up directly — but the feedback from Nur Farhana was thorough enough that I understood why my first approach wasn't optimal. The alumni space has been useful since; a few of us still exchange notes there."

Deep Learning Foundry · January 2025

HA

Hafizah Azmi

Operations Executive, Johor Bahru

"Sessions run during evenings, which was the only reason I could manage it while working full-time. I also found that Roshan was very responsive when I had questions about scheduling and materials — things got sorted quickly without a lot of back and forth. The programme itself is well-organised and the materials held together logically week by week."

AI Foundations · May 2025

KV

Kavitha Rao

Research Associate, Petaling Jaya

"I had some Python experience before starting the Machine Learning Track, which meant the early weeks covered familiar ground. But the section on evaluation — understanding what metrics actually mean in context rather than just how to calculate them — was genuinely new for me. I'd recommend checking with the team first about whether to start here or at Foundations."

Machine Learning Track · April 2025

Case Studies

Three Journeys Through the Foundry

Challenge

A logistics company analyst needed to predict shipment delays but had no ML experience. Spreadsheet-based methods weren't scaling, and the team was spending hours on analysis that should take minutes.

Programme

Enrolled in AI Foundations, then moved directly to Machine Learning Track in the following cohort. Completed both tracks across five months while working full-time.

Outcome

Built a simple delay-prediction pipeline using skills from the ML Track. The model now runs automatically on new shipment data, reducing manual review time by roughly 60%.

Logistics · KL · AI Foundations + ML Track · 5 months

Challenge

A mid-career software developer wanted to move into ML engineering but found that most courses covered theory without connecting it to engineering workflows he already knew.

Programme

Started at Machine Learning Track (had existing Python skills). Moved to Deep Learning Foundry after completing the ML Track. Total programme duration: eight months.

Outcome

Successfully transitioned into an ML engineering role at a KL-based fintech company. The capstone project from Deep Learning Foundry formed part of his interview portfolio.

Software / Fintech · Selangor · ML Track + Deep Learning · 8 months

Challenge

A business owner with no technical background wanted to understand AI well enough to have informed conversations with developers building tools for her company — not necessarily to build them herself.

Programme

Completed AI Foundations. Didn't progress to the next track, which was the right decision for her goals. Spoke with the team before enrolling to confirm this was a reasonable expectation.

Outcome

Now comfortable reviewing technical proposals, asking the right questions in development meetings, and evaluating whether an ML solution is being described accurately or oversold.

Business / E-commerce · KL · AI Foundations · 6 weeks

By the Numbers

What Three Years Has Produced

180+

Participants Trained

14

Cohorts Completed

4.8

Average Feedback Score

78%

Progress to Next Track

Contact

Questions Before You Commit?

We're happy to have a conversation before enrolment. No obligation, no pressure — just an honest exchange about whether the programme fits where you are.

Address

Jalan Ara SD7/3
52200 Kuala Lumpur

Office Hours

Mon–Fri 10am–6pm
Sat 10am–2pm MYT

Join the Next Cohort

See Which Track Opens Next

Cohorts fill to capacity before they open. Send us a message to find out when the next one starts and whether there's space.

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