Learning Paths

Structured sequences of edjitsu programmes — pick the path that matches your role and goals, then follow the steps at your own pace.

Automotive Embedded Engineer

AUTOSAR & ECU Development

Build the foundation in embedded C, RTOS, and Linux before moving into automotive-specific protocols, AUTOSAR, and V&V.

1
Embedded Systems Foundation — C/C++, RTOS, Embedded Linux
2
Automotive Embedded & SDV AUTOSAR, CAN/LIN, UDS, SDV architecture
3
Tools & DevOps Git, JIRA, Docker, MISRA-C, ASPICE toolchains
4
Embedded Systems & Test Automation HIL/SIL/MIL, CAPL, Python automation
Outcome: Ready for OEM / Tier-1 automotive embedded development roles
Start this path →
AI & ML Engineer

Machine Learning to Production

Start with Python and ML fundamentals, move into deep learning and GenAI, then learn to deploy models in cloud and embedded environments.

1
AI, ML & Data Python, Scikit-learn, TensorFlow, PyTorch, NLP
2
High Performance Computing Accelerated computing, GPU workloads
3
Full-Stack Engineering Flask APIs, React dashboards, AWS deployment
4
Tools & DevOps GitHub Actions, Docker, MLOps CI/CD
Outcome: Ready for ML engineering, MLOps, and AI product development roles
Start this path →
Edge AI Specialist

TinyML & Embedded Inference

Bridge embedded hardware and AI — learn to train, compress, and deploy models directly onto microcontrollers and automotive-grade hardware.

1
Embedded Systems MCU architecture, C/C++, RTOS, Linux
2
AI, ML & Data TensorFlow, PyTorch, model training fundamentals
3
Automotive Embedded & SDV GenAI in Automotive, ADAS, edge deployment context
4
High Performance Computing TFLite, ONNX, TensorRT, quantisation, pruning
Outcome: Ready for TinyML, Edge AI, and embedded inference engineering roles
Start this path →
Test & Validation Engineer

Automotive V&V & Test Automation

Move from embedded basics into structured test design, CAPL scripting, HIL/SIL frameworks, and ASPICE-aligned V&V processes.

1
Embedded Systems Embedded C, communication protocols, RTOS basics
2
Tools & DevOps Git, static analysis, MISRA-C, JIRA workflows
3
Embedded Systems & Test Automation Python, CAPL, C#, SIL/MIL/HIL, CANoe
4
Automotive Embedded & SDV AUTOSAR testing, UDS/DoIP, ASPICE compliance
Outcome: Ready for automotive V&V, HIL/SIL, and test automation roles
Start this path →
Technical Lead / Architect

Engineering Leadership

Combine full-stack and AI skills with structured leadership training to step into technical lead, architect, or project management roles.

1
Full-Stack Engineering Python, Flask, React, REST APIs, databases
2
AI, ML & Data GenAI, LLMs, RAG, AI product patterns
3
Tools & DevOps CI/CD, Docker, GitHub Actions, Agile toolchains
4
Full-Stack & Leadership Project management, Agile, stakeholder leadership
Outcome: Ready for technical lead, solution architect, and engineering manager roles
Start this path →

Not sure which path fits your goals?

Talk to us — we'll map it out →