Our Story
Education That Respects a Working Week
Synapsework was built for people who already have jobs and want to build applied ML skills alongside them — without the pressure, the jargon, or the inflated expectations.
Back to HomeAbout Synapsework
Where the Idea Came From
Synapsework started with a straightforward observation: most machine learning education is built for people who study full time, and most working adults are not that. The reading lists are long, the projects are enormous, and the implicit assumption is that you have eight free hours on a weekday.
The studio was set up in Kuala Lumpur because that is where the founding team worked — and because Malaysia has a well-educated professional workforce that is actively looking for ways to build data and ML skills without relocating or quitting their jobs. The courses were designed from scratch rather than adapted from university syllabuses, which meant we could keep each week to a manageable scope.
The Foundations course came first, written over several months of iteration with a small pilot cohort. The intermediate track followed once it became clear that participants wanted to keep going after foundations and needed a structured next step. The Yearlong Subscription was added for participants who wanted a longer arc with more support — not more content poured on top, but a slower, more supported path through the same material.
The Wisma KFC office on Jalan Sultan Ismail is a working space — participants are welcome to visit, but the courses are entirely online. The weekly live sessions run in the evenings, and everything else is asynchronous.
Mission
To offer applied machine learning education that fits around a working life — structured, practical, and free of the hype that makes the field harder to approach than it needs to be.
Values
- Honest about what the courses do and do not cover
- Practical before theoretical — notebooks before whitepapers
- Small cohorts so questions get real answers
- Privacy handled plainly, not buried in legal boilerplate
Established
2021
Kuala Lumpur, Malaysia
The People
Who Runs the Courses
A small team — people who have worked in data roles and now spend their time building and running the courses.
Razif Hamdan
Course Director
Razif spent nine years working in analytics and modelling roles across financial services in Kuala Lumpur before joining Synapsework. He leads curriculum design and runs the Foundations walkthroughs.
Sharifah Lim
Senior Instructor
Sharifah built and ran data pipelines for a logistics company before moving into education. She leads the Intermediate track and mentors participants in the Yearlong Subscription.
Nabil Ismail
Notebook Lead
Nabil designs and maintains the weekly practice notebooks, working closely with both instructors to ensure the exercises match the pace of the lectures and remain relevant to real-world tasks.
How We Work
Standards We Hold Ourselves To
Not a checklist for marketing purposes — these are the things we actually check before a course runs and after it ends.
Notebook Quality Review
Every practice notebook is tested end-to-end before it ships to a cohort. Each cell should run cleanly on a standard Python 3.10+ environment with no hidden dependencies.
Data Privacy Practice
Participant records are held only for the period needed to run the course. No data is shared with third-party marketing services. The Privacy Policy sets this out plainly.
Cohort Size Limits
Live sessions are capped to keep them conversational. When a cohort fills, we open the next intake rather than stretching the group beyond a size where questions get lost.
Course Content Refresh
Notebooks and reading lists are reviewed before each new cohort cycle. Where a tool or library has moved on, the material is updated before it goes out.
Transparent Completion Records
Completion records describe what was studied and submitted — nothing more. We do not issue documents that overstate what the participant has done or imply an accreditation that does not exist.
Plain-Language Documentation
Terms, privacy policy, and cookie notice are written in everyday language. We check these documents when services or data practices change, not just on a legal calendar.
Expertise
What Synapsework Knows How to Do
Applied machine learning education for working adults requires a different design sensibility than full-time study programmes. The scope of each topic has to be honest — broad enough to be useful, narrow enough to be completable in an evening. That calibration is something the team has developed over several cohort cycles, adjusting week by week based on where people struggled and where they moved quickly.
The Python ecosystem around machine learning is well-established, but it moves. Scikit-learn, pandas, and related libraries receive regular updates, and the practice of responsible evaluation — understanding when a model is genuinely working and when it is just fitting to noise — requires ongoing attention in the curriculum. Synapsework instructors work in this space regularly enough to keep the material grounded.
Kuala Lumpur's professional workforce includes a large number of people in finance, logistics, and technology who encounter data in their daily work and want a more structured understanding of what ML tools can realistically do. The Foundations course is designed with that audience specifically in mind.
Approach
Education That Does Not Oversell Itself
One thing that distinguishes Synapsework from many online learning offerings in this area is a commitment to managing expectations honestly. Machine learning is a discipline with a learning curve. The Foundations course does not promise transformation at the end of eight weeks — it promises that participants will have run real models on real data and will understand what they were doing and why.
The completion record issued at the end of a course is a document that describes what was studied and submitted. It is not positioned as a professional qualification or a hiring advantage on its own. Participants who have built actual skills through the notebooks will be in a stronger position to demonstrate those skills directly — and the record is a supporting document, not the main event.
Course pricing in Malaysian Ringgit reflects the local professional context. The Foundations course is within reach for a working adult making a considered investment in their own skills; the Yearlong Subscription is priced for the longer commitment it represents.
Next Step
Ready to have a look at the courses?
Browse the full course catalogue or send us a message if you want to talk through which level makes sense for your current background.