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Where AI Meets Reality In Malaysia's Digital Future

We're building something different here in Kuching. Not another coding bootcamp promising quick wins, but a proper learning space where metaverse development and AI integration actually make sense together. Starting February 2026, we're opening doors to anyone curious about where these technologies intersect with real business problems.

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What We're Actually Building

Learning That Reflects How Technology Really Works

Most tech education treats AI and metaverse as separate universes. But when you're working on actual projects, these technologies blend. A virtual showroom needs intelligent navigation. An AI assistant works better with spatial context. We teach at that intersection because that's where interesting problems live.

Our curriculum evolved from watching students struggle with fragmented knowledge. You'd learn machine learning in one course, 3D environments in another, never seeing how they connect. So we redesigned everything around integrated projects that mirror what you'd actually build for clients or startups.

Project-First Structure

Every concept gets introduced through a problem you're trying to solve. Not theory first, application later. We work backwards from what needs building.

Malaysian Context Built In

Case studies from Sarawak businesses, datasets relevant to Southeast Asian markets, deployment considerations for regional infrastructure. Location matters in tech education.

Collaborative Problem Solving

Small cohorts working on shared challenges. You'll spend more time debugging with peers than watching pre-recorded lectures. Learning happens in conversation.

Collaborative workspace showing students working on integrated AI and metaverse projects

Why Integration Changes Everything

Here's what happened when we ran our pilot program in late 2025. Students who learned AI and spatial computing separately took weeks to connect concepts. Those who learned them together started building functional prototypes by week three. The difference wasn't intelligence or effort—it was seeing relationships from day one.

Your learning path won't be linear. Some weeks you'll focus on neural networks, others on Unity environments, but always with one eye on how they serve each other. By March 2026, our first full cohort will be prototyping hybrid applications that wouldn't exist if we taught these as separate disciplines.

  • Hands-on work with actual datasets from Malaysian industries
  • Build portfolio pieces clients can actually understand and use
  • Learn deployment considerations for Southeast Asian infrastructure
  • Navigate the messy reality of making new tech work reliably
See What You'll Need

What You'll Actually Learn

Six months of focused work across three interconnected modules. Each builds on the last, but more importantly, each forces you to see how AI and spatial computing solve problems together.

Foundation Phase

Fundamentals That Actually Matter

Python for practical applications, not computer science theory. Machine learning concepts through real datasets. 3D mathematics that makes sense when you're building environments. Version control because group projects without it are chaos.

Integration Phase

Where Technologies Meet

Building AI agents that operate in virtual spaces. Creating metaverse environments that respond intelligently to user behavior. Working with APIs that bridge physical and digital worlds. This is where concepts click into place.

Application Phase

Portfolio-Ready Projects

Design and build complete applications over 8-10 weeks. Client presentations, deployment planning, documentation that non-technical stakeholders can follow. The unglamorous parts that separate classroom projects from professional work.

Your Six-Month Path

We're not promising transformation or guaranteed outcomes. But if you show up consistently and engage with the work, here's what the journey typically looks like.

1

Months 1-2: Getting Your Bearings

The first weeks feel overwhelming for most people. You're learning new languages, new concepts, new ways of thinking about problems. That's normal. By week eight, you'll have built your first integrated prototype—probably clunky, definitely imperfect, but functional enough to show how AI and spatial computing can work together.

2

Months 3-4: Finding Your Focus

This phase separates casual interest from genuine commitment. You'll work on increasingly complex challenges, often hitting walls that take days to work through. Some students discover they love the AI side more, others gravitate toward spatial design. Both paths are valuable, and we help you lean into what clicks.

3

Months 5-6: Building Something Real

Your capstone project starts in month five. Working with 2-3 peers, you'll design and build an application that demonstrates integrated capabilities. Previous cohorts have created virtual training environments with adaptive AI instructors, retail experiences that learn from customer behavior, and collaborative design tools for remote teams. Your project will reflect your interests and the problems you care about solving.

Students engaged in collaborative learning session working on integrated technology projects
Real Learning Outcomes

What Happens After Six Months

Our pilot cohort from October through December 2025 gave us realistic data on what students can achieve. These aren't cherry-picked success stories—they represent typical outcomes for people who engaged fully with the program.

Most graduates didn't immediately land dream jobs or launch startups. But they left with functioning applications in their portfolios, working knowledge of integration patterns, and enough credibility to have meaningful conversations with potential employers or clients. A few are freelancing. Several joined local tech teams. One is building tools for her family's logistics business.

6-8
Months typical learning timeline
12-15
Students per cohort for quality interaction
3-4
Portfolio projects built during program
100%
Project-based assessment approach

February 2026 Cohort Opens Soon

We're accepting applications for our next six-month program starting February 2026. Limited to 15 students to maintain quality interaction and mentorship. If you're genuinely interested in working at the intersection of AI and spatial computing, let's talk about whether this fits your goals.

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