// Programmes
Three Programmes.
One Engineering Standard.
Each programme is built with a hardware-aware lens, delivered by practitioners, and structured so that participants leave with skills they can put to work immediately.
Back to Home// How We Structure Training
The cindras Methodology
Each cindras programme follows a workbench model: concepts are introduced in the context of an engineering problem, worked through in a lab, and then consolidated into reference material that participants keep. The sequence — problem first, theory second, reference last — reflects how engineering knowledge is acquired and retained in practice.
Hardware considerations are not isolated to a dedicated module. They are woven into each topic so participants develop an intuition for thinking about hardware constraints alongside ML engineering choices, rather than treating hardware as a separate concern to address later.
Corporate cohort programmes begin with a scoping conversation that aligns the programme to the organisation's engineering context. The delivery, materials, and post-programme handbook are all adjusted based on that scoping.
Problem-Led Structure
Each module opens with an engineering problem before introducing the underlying concept.
Lab Immediately After
Labs follow concepts in the same session — not deferred to a separate practicum period.
Hardware Throughout
Hardware constraints appear alongside ML topics throughout the programme, not in a separate track.
Reference to Keep
Materials are structured for post-programme use, not just note-taking during sessions.
// Programme 01
Foundations Programme
RM 500 · Multi-week programme
A structured training programme covering machine-learning engineering with attention to how workloads use hardware, taught through lessons and practical exercises. Aimed at developers building applied skills. Includes module materials, labs, and reference notes across a multi-week scope.
What's included:
- Module materials covering core ML engineering concepts with hardware context
- Practical lab sessions aligned to each module topic
- Reference notes formatted for post-training use
- Instructor-led sessions at our Cyberjaya facility
How it runs:
- 01
Enrolment and pre-reading materials shared ahead of first session
- 02
Weekly sessions combining instruction and lab work across multiple weeks
- 03
Reference notes compiled and provided at programme close
- 04
Feedback session with instructor to review progress and next steps
Best for: developers with Python experience building their first hardware-aware ML skills
Enquire About This Programme// Programme 02
Applied Engineering Track
RM 2,100 · Multi-week track
A deeper, hands-on track where learners work through representative engineering projects with a hardware-aware lens. Suited to practitioners who already have some ML experience and are ready for applied practice. Includes project labs, sample datasets, and instructor support throughout.
What's included:
- Representative engineering project labs with hardware-aware scope
- Sample datasets supplied — no external data sourcing required
- Instructor support available throughout the track duration
- Project review sessions with instructor feedback
- Reference notes and project documentation to keep
How it runs:
- 01
Scope discussion and project brief shared on enrolment
- 02
Weekly project lab sessions with hardware-aware engineering focus
- 03
Instructor support channels available between sessions
- 04
Final project review and handover of reference documentation
Best for: practitioners with ML experience ready to build applied engineering depth
Enquire About This Track
// Programme 03
Corporate Cohort Programme
RM 4,500 · Custom multi-session engagement
A tailored cohort programme delivered to an organisation's engineers, focused on their learning goals around hardware-aware ML engineering. Suited to companies upskilling teams together. Includes programme planning, full delivery, and a reference handbook produced for the cohort. Scope and session count are agreed during a planning conversation.
What's included:
- Planning conversation to align programme scope to your team
- Full programme delivery at your premises or our Cyberjaya facility
- Reference handbook produced specifically for your cohort's context
- HRD Corp claimable for eligible Malaysian employers
- Post-programme feedback report for the organisation
How it runs:
- 01
Initial scoping call to understand your team's background and goals
- 02
Programme plan and session schedule shared for review and confirmation
- 03
Delivery across agreed sessions with labs and cohort discussion
- 04
Reference handbook and post-programme feedback report provided
Best for: organisations upskilling engineering teams in hardware-aware ML
Request a Scoping Call// Choose Your Track
Programme Comparison
| Feature | Foundations | Applied Track | Corporate Cohort |
|---|---|---|---|
| Price | RM 500 | RM 2,100 | RM 4,500 |
| Hardware-aware instruction | |||
| Lab sessions | |||
| Engineering project work | |||
| Sample datasets supplied | |||
| Reference materials to keep | |||
| Custom scope planning | |||
| Team reference handbook | |||
| HRD Corp claimable |
// Across All Programmes
Shared Standards and Protocols
Data Privacy (PDPA)
Participant data is handled under Malaysia's Personal Data Protection Act 2010. Enrolment information is used for programme delivery only and is not shared with third parties.
Curriculum Review Schedule
All programme content is reviewed on a regular schedule. Lab environments and code examples are updated to reflect current hardware tooling and ML engineering practice.
Participant Feedback Process
Structured feedback is collected at the close of every programme. Responses are reviewed by instructors and reflected in subsequent curriculum planning.
Practitioner-Only Instruction
Sessions are delivered only by engineers with active professional experience in the topics covered. No outsourced or contracted general trainers.
Written Scope Before Enrolment
Every participant receives a written programme scope document before committing to enrolment. What is covered, what is not, and what the prerequisites are — all set out in writing.
Lab Environment Testing
All lab environments and sample datasets are verified before each programme run to confirm they are functioning correctly and reflect current engineering conditions.
// Transparent Pricing
Published Rates, No Add-Ons
All materials, labs, and reference notes are included. No subscription, no continuation fees.
Foundations Programme
RM 500
per participant · multi-week
- Module materials
- Lab sessions
- Reference notes
- Instructor-led sessions
Most Popular
Applied Engineering Track
RM 2,100
per participant · multi-week
- Project labs
- Sample datasets supplied
- Instructor support
- Reference notes to keep
Corporate Cohort
RM 4,500
per cohort · custom scope
- Planning included
- Full delivery
- Team reference handbook
- HRD Corp claimable
// Start Here
Not sure which programme fits you?
Send us a message describing your background and what you are aiming to build. We will identify the right starting point and send you the programme scope document.
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