Investment That Matches Your Learning Path

Most people ask us about costs before they understand what they're actually getting. And honestly, that makes sense — education is a significant commitment, both in time and money. But here's what we've learned after working with hundreds of students across Malaysia and beyond: the question isn't really about price at all.

It's about finding the right structure that works for where you are now and where you want to be in March 2026. Some students need intensive preparation before diving into deep learning. Others have the foundation and just need the specialized knowledge. We've built our approach around those different starting points.

Why We Don't List Prices Here

You won't see a three-column comparison chart on this page. There's a reason for that — and it's not what you might think.

When Liyana from Subang Jaya contacted us in November, she was ready to sign up for our most comprehensive program. After a 30-minute conversation, we recommended she start with something completely different. She saved money and, more importantly, she actually achieved what she set out to do.

Deep learning education isn't one-size-fits-all. Your background in mathematics matters. Your experience with Python matters. Whether you're juggling a full-time job matters. The program that works perfectly for a recent computer science graduate won't be the right fit for someone transitioning from a different field.

We've structured our programs so the investment scales with what you actually need. Not what we think sounds good on a pricing page.

Student reviewing learning materials and course structure in consultation setting

How We Structure Learning Investment

Every student we work with gets a customized recommendation based on their specific situation. These are the factors that determine what makes sense for you.

Your Technical Foundation

If you're coming from a non-technical background, you'll benefit from our foundational modules before jumping into neural networks. Students with programming experience can skip ahead — no point paying for material you already know. We assess this during our initial conversation and recommend accordingly.

Time Availability

Working full-time? Our extended timeline programs spread the same content across more months with smaller weekly commitments. Students who can dedicate more hours per week can complete intensive tracks. Same quality of education, different pacing. The investment reflects that flexibility.

Learning Goals

Some students need comprehensive coverage of deep learning architectures for career transitions. Others want focused expertise in specific areas like computer vision or NLP. We don't bundle everything together and charge you for modules you won't use. Your goals shape your program, which shapes the investment required.

Detailed program structure materials and learning pathway documentation

What's Actually Included

Direct access to instructors who've built production deep learning systems — not teaching assistants reading from slides, but practitioners who can answer the messy real-world questions that come up
Project work using actual datasets and scenarios from Malaysian companies we've partnered with, because generic Kaggle competitions only teach you so much
Flexible scheduling that accommodates different time zones and work commitments, with recorded sessions you can reference when you're stuck at 11pm trying to debug your model
Small cohort sizes that let us actually provide individual feedback on your code and architecture decisions, not just automated grading
Ongoing access to updated materials and resources even after your program ends, since the field changes fast and you shouldn't have to pay twice

Discuss Your Learning Path