Embedded Linux & Yocto
Format: One week onsite
- Linux architecture and boot flow
- Yocto Project workflow and layer strategy
- BSP, Devicetree and driver integration
- Image and SDK customisation
- Debugging, CI and deployment
Training built around your product
Your hardware. Your workflows. Your engineers enabled.
Generic courses teach vocabulary. ArivEmb training is shaped around the target board, source tree, toolchain, use cases and delivery risks your team actually owns.
OnsiteHands-onTailored syllabusReal hardwareMentored adoption
Three focused programmes
Training that ends in applied capability.
The syllabus and exercises are agreed after a technical discovery session.
Zephyr RTOS
Format: One week onsite
- Kernel and system architecture
- Board bring-up, Devicetree and Kconfig
- Driver and application development
- Connectivity, debugging and power
- Testing and production readiness
AI for Embedded Engineers
Format: 120 hours over six months
- One week onsite foundation
- Structured online mentoring
- Build a team-specific engineering tool
- Evaluate and validate outputs
- Deploy into the engineering workflow
Every programme is tailored to your hardware, product portfolio, toolchain and engineering maturity.
Before training
We diagnose the capability gap first.
The training design starts with the work your team must perform after we leave.
- Target roles and current skill level
- Hardware, BSP and repository baseline
- Planned product milestones
- Tooling, CI and security constraints
- Hands-on exercises and acceptance outcomes
Expected outputs
- Tailored agenda and prerequisites
- Instructor-led practical exercises
- Reference material for your platform
- Working examples in the agreed environment
- Capability review and next-step recommendations
AI for Embedded Engineers
Adoption, not a one-day prompt workshop.
The six-month programme is designed to help engineers build, evaluate, validate and deploy a useful embedded-AI workflow with human review and engineering controls.
120-hour structure
- Foundation and use-case selection
- Data, document and tooling architecture
- Prototype implementation
- Evaluation and failure analysis
- Validation with engineering artefacts
- Controlled deployment and adoption
Start a conversation
Tell us what your engineers must be able to do.
We will map the skill gap, hardware context and product goal into a tailored programme - not force your team through an off-the-shelf syllabus.