Logicrove
A desk with an open laptop showing machine learning code, a printed textbook, and a cup of tea

Machine Learning & AI Engineering, Taught with Patience

Structured online courses for working adults in Malaysia. Build practical skills at your own pace — from Python foundations through to production-ready AI engineering.

Browse Courses
+60 3-2148 7263
[email protected]
350+ learners enrolled
3 structured tracks

Course Catalogue

Three carefully sequenced tracks, each designed so your learning builds on what came before. Every course includes recorded lectures, live discussion sessions, and hands-on exercises.

Python and scikit-learn notebooks open on a screen
Foundations

Foundations of Machine Learning

An eight-week online course covering supervised and unsupervised machine learning. Topics include linear and logistic regression, decision trees, clustering, model evaluation, and an introduction to neural networks — all in Python with scikit-learn.

  • 8 weeks, one recorded lecture per week
  • Live discussion sessions included
  • Python & scikit-learn exercises
  • Course completion record on finishing
RM 500 Enquire
Neural network diagrams on a screen in a softly lit workspace
Intermediate

Deep Learning Practitioner Track

A twelve-week intermediate track for learners with a foundations background. Covers neural network design, training loops, vision and language architectures, and a final project built in PyTorch — including written milestones and TA review sessions.

  • 12 weeks, flexible self-paced window
  • Twice-weekly live discussion sessions
  • PyTorch final project with TA review
  • Three written milestones
RM 1,580 Enquire
A senior engineer reviewing a deployed AI model dashboard on screen
Advanced

Applied AI Engineering Capstone

A sixteen-week capstone programme pairing you with a senior mentor. Covers model deployment, evaluation pipelines, monitoring practices, and applied case studies. Culminates in a capstone project of your own design — your work, your direction.

  • 16 weeks with a senior mentor
  • Model deployment & monitoring
  • Capstone project of your design
  • Applied industry case studies
RM 2,940 Enquire

Why Logicrove

A learning environment built around your schedule, your pace, and the actual tools engineers use at work.

Designed for Working Adults

Recorded lectures and flexible scheduling mean you study around your job, not instead of it. Session recordings stay accessible throughout your enrolment window.

Hands-On with Real Tools

Every module uses Python, scikit-learn, and PyTorch — the same libraries used in production environments. You work with real datasets, not contrived demos.

Live Discussion Sessions

Each track includes scheduled live sessions where you can ask questions, work through stuck points, and hear how others in the cohort are approaching problems.

Senior Mentor Access

The capstone programme pairs every participant with a senior mentor for the full sixteen weeks — someone with applied engineering experience, not just teaching credentials.

A Logical Progression

The three tracks build on each other deliberately. Completing the Foundations track prepares you for the Practitioner track; completing that prepares you for the Capstone.

Based in Kuala Lumpur

Our team is in KL, so office hours, billing, and support all happen in Malaysian time. We understand the local context of studying while working here.

Ready to start building with machine learning?

Send us a message with any questions about which course suits your background, or go ahead and register your interest — we'll be in touch within one working day.

Get in Touch
+60 3-2148 7263 [email protected]

Frequently Asked Questions

Straightforward answers to the questions we hear most often.

Do I need a mathematics degree to join the Foundations course?
No. The Foundations course is designed for adults who are comfortable with high-school level mathematics — things like basic algebra and reading simple charts. You do not need calculus or statistics beyond what most secondary school curricula cover. A basic Python background is more important than a maths background at this stage.
How much time should I set aside each week?
Most participants in the Foundations and Practitioner tracks find that six to ten hours per week is comfortable — enough to watch the lecture, attend or watch back the live session, and work through the exercises. The Capstone programme tends to take more, particularly during the weeks when you are actively building your project, though the structure varies by what you are building.
Are the live sessions recorded if I cannot attend?
Yes. All live discussion sessions are recorded and made available to enrolled participants within 24 hours. We know that work commitments in Kuala Lumpur do not always cooperate with a fixed schedule, so recordings are part of the standard enrolment.
What is the difference between the Practitioner track and the Capstone?
The Practitioner track focuses on learning the core techniques of deep learning through structured exercises and a guided final project. The Capstone shifts the emphasis to you: you define the project, apply what you know to a problem you care about, and work with a senior mentor who gives feedback throughout. It is suited to people who want to take their skills into a professional or applied context.
How does payment work?
All fees are listed in Malaysian Ringgit. Payment is due before the course window opens. We accept bank transfer and major cards; details are provided during registration. If you have questions about fee arrangements, you are welcome to contact us before registering.
Is my personal data kept private?
Yes. We collect only the personal information needed to administer your enrolment and communicate with you about course materials. We do not share your data with third parties for marketing purposes. You can read the full details in our Privacy Policy.

Find Us

Suite 14, Menara KEN, Jalan Sultan Ismail, 50250 Kuala Lumpur

Get in Touch

Questions about which course fits your background, or ready to register? Send us a message and we will respond within one working day.

Contact Details

  • Address

    Suite 14, Menara KEN
    Jalan Sultan Ismail
    50250 Kuala Lumpur

  • Office Hours

    Monday – Friday: 9:00 am – 6:00 pm
    Saturday: 10:00 am – 2:00 pm
    Sunday & Public Holidays: Closed

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