Learn AI at a pace that fits your working life
Structured courses in machine learning and applied Python, built for professionals who want to engage seriously with AI — without setting aside everything else.
Three courses, each with a clear scope
Each programme has defined prerequisites, a weekly time commitment, and deliverables you can refer back to. No open-ended learning paths — just a considered structure.
Foundations of Machine Learning
Mathematical groundwork, probability essentials, gradient-based optimisation, and the structure of supervised and unsupervised learning tasks. Suited to professionals with some programming background.
- Linear algebra and probability refreshers
- Project-based assessments, reviewed individually
- Weekly office hours for questions
- Recorded sessions — no rigid schedule
Applied Python for AI Development
Python practice for real AI workloads — project structure, data handling with pandas and numpy, notebooks alongside scripts, and a careful PyTorch introduction. Assumes some prior Python familiarity.
- Pandas, NumPy, and PyTorch foundations
- Weekly cumulative deliverables
- Patterns from real professional projects
- Code-focused, hands-on sessions
Short Course: Reading AI Research Papers
A calm, supported introduction to contemporary AI research. Each session walks through one paper — its structure, claims, methods, and limitations — together. Participants leave with a reading method they can apply independently.
- One paper per session, thoroughly examined
- No prior research reading experience needed
- Practical reading framework to keep
- Small, supported group setting
What to expect when you study with us
Designed around irregular schedules
All sessions are recorded and accessible at any time. If a week is difficult, the material stays available. The courses are built for working professionals, not full-time students.
Sequenced, purposeful content
Each week builds directly on the previous one. There is no filler, no redundant revision modules — only what you need to move forward, in an order that makes conceptual sense.
Office hours, not chatbots
Weekly office hours provide a space to bring genuine questions to a person. Feedback on assessments is written individually, not generated from a rubric alone.
Assessments that produce something tangible
Projects are designed so that you end up with work you can refer to — a notebook, a written analysis, a working model. Not exercises that disappear after submission.
Clear prerequisites stated upfront
Each course lists what prior knowledge is expected. If you are unsure whether a programme fits your background, we would rather you ask before enrolling than discover a mismatch partway through.
Transparent, fixed pricing in Ringgit
Course fees are stated clearly in MYR with no hidden enrolment charges. The fee covers all materials, recorded sessions, and office hour access for the duration of the course.
Not sure which course fits your situation?
Send us a message and we will look at your background and what you are hoping to work toward. There is no pressure — just a straightforward conversation about whether our courses are a reasonable fit.
Frequently asked questions
Do I need a mathematics background to take the ML Foundations course?
How much time per week should I set aside?
Are the sessions live or pre-recorded?
What is the refund or withdrawal policy?
Is there a certificate upon completion?
Can I take more than one course at the same time?
How is my personal data handled?
Visit Our Office
76 Jalan Pinang, 50450 Kuala Lumpur, Malaysia
Get in Touch
Whether you have a specific question about a course or just want to talk through whether it might suit you, we are glad to hear from you.
Contact Details
76 Jalan Pinang
50450 Kuala Lumpur, Malaysia
Monday – Friday: 9:00 am – 6:00 pm
Saturday: 10:00 am – 1:00 pm (by appointment)
Sunday & Public Holidays: Closed