Three Programmes Built for Different Starting Points
Whether you're coming from a non-technical background, a developer role, or organising learning for a whole team — there's a Voltcortex programme calibrated to your situation.
← Back to HomeHow We Structure Compute Education
Accelerator computing sits at different distances from different roles. A product manager needs to understand why GPU costs differ from CPU costs and what that means for their team's infrastructure decisions. A developer needs to know what happens when a job exceeds available VRAM. A whole team needs a consistent vocabulary to discuss these things without constant re-explanation.
We don't compress all of this into a single course. Instead, each programme addresses its audience directly, using appropriate depth and format. All three share a vendor-neutral perspective and an emphasis on practical, transferable understanding over memorised terminology.
Foundations for conceptual understanding, Lab for working experience, Team for organisational alignment.
Evening cohorts, two-day labs, or six-week facilitated sessions — depending on the programme.
Glossaries, notebooks, handbooks, or reference sheets — depending on programme. All retained after completion.
Foundations of Accelerator Computing
An introductory cohort that explains how GPUs differ from general processors and why they suit AI workloads. Lessons use everyday analogies and small worked examples so non-specialists can follow comfortably. Four evening sessions over two weeks, with downloadable notes and recorded recaps.
- Aimed at analysts, product staff, and managers — no engineering background needed
- Four evening sessions, twice per week over two weeks
- Downloadable session notes and a curated glossary of terms
- Recorded recaps available after each session
- Cohort capped at 16 participants for interactive pace
How parallelism works, why GPUs accelerate certain tasks, what memory constraints mean for AI jobs, and how to read infrastructure documentation with a grounded mental model.
Hands-On Compute Lab for Developers
A practical two-day lab where engineers run small AI jobs on shared accelerator hardware and observe memory and throughput behaviour directly. Guidance is vendor-neutral and focused on transferable understanding rather than one platform's tooling. Best suited for developers with basic Python experience.
- Two full guided lab days on dedicated accelerator hardware
- Shared environment — participants submit and observe their own jobs
- Sample notebooks retained after the lab
- Tuning reference sheet for post-lab use
- Maximum 12 participants per lab day
Basic Python — able to read and run scripts, import libraries, and understand function calls. No ML or data science background required.
Team Enablement Programme
A structured six-week programme designed to bring a whole team to a shared baseline on accelerator computing. Combines lessons, group exercises, and a capstone discussion mapped to the team's real workloads. Suited for organisations standardising their internal knowledge before making infrastructure decisions.
- Six weeks, one facilitated session per week
- Intake review to map content to the team's actual work
- Group exercises and capstone discussion included
- Team handbook provided and retained
- Can run at your premises or at our Bangsar South space
Engineering, product, and data teams preparing to standardise their understanding of GPU-accelerated workloads before procurement decisions or infrastructure migrations.
Choosing the Right Programme
A side-by-side view of what each format includes and who it's for.
| Feature | Foundations | Compute Lab | Team Enablement |
|---|---|---|---|
| Price | RM 520 | RM 1,680 | RM 2,880 |
| Duration | 4 evenings / 2 weeks | 2 full lab days | 6 weeks |
| Technical background needed | Basic Python | ||
| Real hardware access | |||
| Workload-mapped exercises | |||
| Written materials included | |||
| Best for | Non-technical roles | Individual developers | Whole teams / orgs |
Shared Across All Programmes
Vendor Neutrality
Content is not sponsored by or aligned to any hardware manufacturer. Concepts and comparisons are chosen for educational value, not promotional alignment.
Participant Data Privacy
Registration and feedback data are held only as long as necessary for programme administration. Contact details are not shared with third parties outside of operational requirements.
Regular Content Review
Lab environments are updated quarterly. Written materials are versioned. Cohort feedback shapes the next scheduling cycle.
Cohort Size Limits
Caps of 16 (Foundations) and 12 (Lab) ensure sessions remain interactive and questions can be addressed in real time.
Plain-Language Instruction
Technical vocabulary is introduced with clear definitions, not assumed. Glossaries are provided to support retention after sessions end.
Corporate Invoicing
Organisations can be invoiced directly. The Team Enablement Programme qualifies for HRDF claims by registered Malaysian employers.
Programme Fees
All prices in Malaysian Ringgit, inclusive of materials and hardware access.
Foundations
- 4 evening sessions
- Session notes & glossary
- Recorded recaps
- No technical background needed
Compute Lab
- 2 full guided lab days
- Real accelerator hardware
- Sample notebooks
- Tuning reference sheet
Team Enablement
- 6-week programme
- Workload-mapped content
- Team handbook
- HRDF claimable
Not Sure Which Programme Fits?
Send us a short note about your role and what you're trying to understand. We'll suggest the format that makes sense for your situation — no sales process attached.