Three Pathways
for GPU Programming Literacy
From a self-paced introductory track to a hands-on applied course and a tailored team programme — structured to match where you are and where you want to be.
Back to HomeHow Our Programmes Are Built
Each programme starts from a defined baseline — the knowledge and experience level the learner brings — and works toward a specific set of practical outcomes. We don't compress advanced topics into introductory material or pad introductory content into courses aimed at experienced developers.
All code in our materials is CUDA C++ that compiles against supported toolkit versions. Explanations are written for developers, not for a general audience. The goal in each programme is that you leave with something that transfers to the kind of work you're actually doing.
For teams, we add a scoping layer: before delivery begins, we align on what the team currently knows, what they need to know, and what the sessions will cover. That planning investment means the delivery time is spent more effectively.
Parallel Basics Track
A self-paced learning track introducing parallel programming concepts for AI workloads in approachable steps. Aimed at developers beginning with GPU programming who have a solid C or C++ background. Covers the thread model, memory spaces, kernel launch configuration, and basic optimisation patterns — all with working code examples and chapter exercises.
What's Included
- Multi-module learning structure with chapter progression
- Working CUDA C++ code examples with syntax highlighting
- Chapter exercises tied to each concept introduced
- Integrated glossary covering CUDA-specific terms
- Self-paced access — no fixed schedule to keep
How It Works
Applied Programming Course
A guided multi-week course with hands-on labs that build practical familiarity writing and reasoning about parallel code. Suited to developers who have some familiarity with the CUDA basics and are ready for applied practice. Labs are modelled on realistic workload patterns from AI training and scientific compute contexts.
What's Included
- Structured multi-week guided pacing
- Hands-on lab guides with clear objectives and expected output
- Sample projects for each major lab topic
- Discussion prompts for reviewing design decisions in code
- Access to the same reference materials as the Basics Track
How It Works
Team Enablement Programme
A tailored enablement programme delivered to an organisation's developers, focused on their specific goals around parallel programming literacy. Suited to companies upskilling engineering teams building on GPU infrastructure. Includes a planning phase, multi-session delivery, and a reference handbook retained by the team after engagement concludes.
What's Included
- Initial planning session to scope the programme to your team's goals
- Multi-session delivery (in-person or remote)
- Custom reference handbook prepared for your team
- Code examples adapted where relevant to your team's stack
- Post-programme check-in session included
How It Works
Compare the Three Programmes
Use this overview to identify which programme fits your current level and what you want to accomplish.
| Feature | Basics Track | Applied Course | Team Programme |
|---|---|---|---|
| // Best for | |||
| Target learner | Developers new to GPU programming | Developers with CUDA basics ready for practice | Engineering teams upskilling together |
| Price (RM) | 470 | 2,250 | 4,700 |
| Self-paced access | Structured pacing | Scheduled sessions | |
| Hands-on lab exercises | Chapter exercises | ||
| Sample projects included | |||
| Custom reference handbook | |||
| Tailored to organisation's stack | |||
| In-person delivery option | Available on request | ||
Not sure which fits? Contact us and we'll help you decide.
Standards That Apply Across All Programmes
Data Privacy
Participant data is used only for delivering and administering the relevant programme. Not shared with third parties outside of delivery-related service providers.
Verified Code Quality
All code examples are tested for correctness before inclusion. Content is reviewed internally before delivery or publication.
Responsive Support
Questions about materials or programme logistics are responded to within one business day during working hours.
Written Scope for Teams
The Team Programme scope is confirmed in writing before any sessions begin. What's agreed is what's delivered.
Content Kept Current
Materials are reviewed and updated when CUDA toolkit changes or new architecture features introduce meaningful differences to how things should be written or understood.
HRDC Claimable
Programmes are structured to meet HRDC eligibility criteria, making them available for Human Resources Development Corporation funding claims by registered employers in Malaysia.
Pricing
All materials included. No additional purchases required.
- Multi-module track materials
- Chapter exercises
- Integrated glossary
- Self-paced access
- Multi-week guided course
- Hands-on lab guides
- Sample projects
- Discussion prompts
- Planning + delivery + handbook
- Custom multi-session scope
- In-person or remote
- Post-programme check-in
Not Sure Which Pathway Fits?
Tell us where you are and what you're working toward. We'll suggest what makes the most sense — whether that's one of the three programmes or a combination.
Contact Vantyr