Three Programmes, One Coherent Approach to Hardware Learning
Whether you're starting from scratch, deepening applied skills, or building capability across a team — each Kaevo programme is scoped to match what you're actually trying to accomplish.
Back to HomeThe Bench-Work Approach to Technical Learning
Kaevo's programmes are built on the principle that hardware understanding develops through direct engagement — not through watching diagrams or listening to explanations. Each session is structured like work at a well-organised bench: defined activities, labelled reference materials, and a facilitator who's available to respond to what participants actually encounter.
The three programmes share this structure but differ in depth, scope, and delivery format. The Introductory Workshop is designed to build a foundation. The Applied Skills Series develops that foundation into confident, independent reasoning. The Corporate Training Package adapts both to the needs of a specific team.
Sequential Depth
Programmes connect. Each builds on the previous without repeating what you already know.
Real Equipment
Lab activities use actual hardware — not emulators or virtual environments.
Usable References
Notes and handbooks are designed to be consulted months after the session.
Responsive Facilitation
Facilitators engage with real questions during activities, not just at the end.
Introductory Workshop
A practical one-day workshop introducing how machine learning workloads map onto hardware. Sessions use approachable demonstrations and guided activities rather than technical lectures. Aimed at developers and engineers who want to build foundational understanding of why hardware configuration matters for ML tasks.
What's Covered
- Core vocabulary for ML hardware — accelerators, memory bandwidth, compute throughput
- How workload types (training, inference, batching) behave differently on hardware
- Reading basic hardware utilisation outputs
- Guided activities with annotated results
- Reference notes to keep
Typical Session Flow
- 01Introduction to hardware vocabulary and concept tray
- 02Workload mapping activity — observing real hardware behaviour
- 03Guided analysis of results with facilitator discussion
- 04Reference card walkthrough and Q&A
Best suited for
- Developers new to the hardware side of ML
- Engineers moving into roles involving ML infrastructure
- Team members who need foundational context before deeper training
Applied Skills Series
A series of workshops building hands-on familiarity with reading hardware behaviour and reasoning about workload fit. Suited to developers who already have some understanding of ML hardware and want to develop the skills to analyse and reason about it independently — not just follow guided activities.
What's Covered
- Detailed hardware profiling — reading and interpreting utilisation data
- Workload fit reasoning — structured approach to hardware selection decisions
- Identifying bottlenecks in compute, memory, and I/O paths
- Discussion prompts for applying reasoning in real project contexts
- Lab notes covering all sessions plus a consolidated reference section
Series Structure
- 01Hardware profiling fundamentals — tools, outputs, and terminology
- 02Workload characterisation — matching requirements to hardware properties
- 03Bottleneck identification and diagnostic reasoning
- 04Applied reasoning session — participant-led analysis with facilitator input
Best suited for
- Developers with foundational ML hardware awareness seeking depth
- Engineers who want to evaluate hardware decisions independently
- Those who've completed the Introductory Workshop and want to progress
Corporate Training Package
A tailored training package delivered to an organisation's team. The content and delivery schedule are shaped around the team's actual learning goals, not adapted from a generic programme. Includes an initial scoping session, multi-session delivery, and a reference handbook written for your team's context.
What's Included
- Scoping session to understand team goals and existing knowledge
- Custom delivery schedule (typically 2–4 sessions)
- Tailored lab activities relevant to team's ML work
- Reference handbook written for your team's context
- Written scope confirmation before any payment
Engagement Process
- 01Initial enquiry — describe your team's context and goals
- 02Scoping conversation — we discuss what fits and what doesn't
- 03Written scope confirmation and schedule agreement
- 04Delivery — sessions at the Kaevo venue or off-site by arrangement
Best suited for
- Engineering teams with ML infrastructure responsibilities
- Organisations investing in staff development for ML roles
- Teams that need content shaped around their specific hardware environment
Choose the Right Programme
Use this to compare what each programme includes and identify which scope matches your situation.
| Feature | Introductory | Applied Series | Corporate |
|---|---|---|---|
| Hands-on lab activities | |||
| Reference materials included | |||
| Multiple sessions | |||
| Workload fit reasoning framework | |||
| Content tailored to team goals | |||
| Scoping session included | |||
| Price (MYR) | RM 480 | RM 1,950 | RM 4,650 |
Fixed, Transparent Pricing
Introductory Workshop
per participant
- Lab activities and guided exercises
- Reference notes included
- All equipment provided
Applied Skills Series
per participant
- 4 sequential lab sessions
- Discussion prompts and lab notes
- Workload fit reasoning framework
Corporate Package
per team engagement
- Scoping session and planning
- Custom delivery schedule
- Team reference handbook
Shared Standards and Protocols
Data Handling
Participant contact details are stored securely, used only for programme administration, and not shared with third parties.
Equipment Verification
All lab equipment is checked and verified operational before every session — participants shouldn't spend lab time troubleshooting setups.
Content Currency
Reference materials are reviewed and updated between programme cycles. Outdated information is corrected before it reaches a participant.
Post-Session Feedback
Every workshop ends with a structured feedback process. Responses are used to adjust content and facilitation for the next cohort.
Clear Scope in Writing
Corporate clients receive a written scope confirmation before any payment is requested. What you're paying for is stated clearly, in advance.
Practitioner Facilitators
All sessions are facilitated by people with active engineering backgrounds in ML hardware — not generalist trainers adapting someone else's content.
Not Sure Which Programme Is Right?
Drop us a message describing your context — what you're working on, what you already know, and what gap you're trying to close. We'll point you to the programme that fits, or tell you honestly if none of them do.
Send an Enquiry