Nex-G Innovations

Nex-G Innovations

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Trending | All

Nex-G Innovations

Software Defined Vehicle (SDV) Training

The objective of this Software Defined Vehicle (SDV) training program is to equip participants with a comprehensive understanding of SDV architecture, technologies, and development processes that drive modern, software-centric vehicles.

Through a combination of foundational theory, hands-on simulations, and real-world applications, learners will gain skills in key areas, including in-vehicle networking, middleware design, cloud and edge computing, autonomous driving systems, cybersecurity, and compliance standards.

This program aims to empower participants to develop, test, and secure SDV software while exploring emerging trends, ensuring they are well-prepared to contribute to the rapidly evolving automotive industry.


Training Code: NES_SK_39199

Duration: 40 Hrs/ 4 Weeks / Customized

Mode: Corporate (Instructor Led - Online / Offline / Onsite), Individual (Instructor Led - Online / Offline)

+91-8826900551

Module 1 - Introduction to Software Defined Vehicles

  • Evolution of automotive electronics to SDVs
  • Differences between traditional and SDV architectures
  • Key components of SDVs: sensors, actuators, control units, and communication systems

Module 2 - Key Technologies in Software Defined Vehicles

  • In-vehicle networking protocols (CAN, LIN, FlexRay, Ethernet)
  • Cloud and Edge Computing for SDVs
  • Role of AI and Machine Learning in SDVs

Module 3 - Software Architecture for SDVs

  • SDV software stack layers
  • Middleware and application layer software
  • Role of microservices and containerization
  • Use of service-oriented architectures (SOA) and APIs

Module 4: Functional Domains in SDV

  • Powertrain, ADAS (Advanced Driver Assistance Systems), and infotainment systems
  • Cybersecurity and over-the-air (OTA) updates
  • Data management and logging requirements

Module 5 - SDV Communication and Connectivity

  • V2X communication types: V2V (vehicle-to-vehicle), V2I (vehicle-to-infrastructure), V2P (vehicle-to-pedestrian)
  • Bluetooth, Wi-Fi, 5G, and emerging standards for SDVs
  • Real-time communication and latency management

Module 6 - Software Development Lifecycle for SDVs

  • Agile development methodologies for SDVs
  • DevOps and CI/CD pipeline in automotive software
  • Software verification, validation, and compliance (ISO 26262, ASPICE)

Module 7 - Autonomous Driving Software and Simulation

  • Levels of vehicle autonomy
  • Sensor fusion and path planning algorithms
  • Role of machine learning and AI in perception and decision-making

Module 8 - Cloud and Edge Computing in SDV

  • SDV data lifecycle management
  • Role of cloud in processing, storage, and remote diagnostics
  • Edge computing for real-time decision making

Module 9 - Cybersecurity in Software Defined Vehicles

  • Threat landscape in automotive software
  • Security protocols and encryption methods
  • Key management and secure boot mechanisms

Module 10: Future Trends and Innovations in SDV

  • Role of AI and quantum computing
  • Digital twins and predictive maintenance
  • Emerging technologies: 6G, software-defined connectivity

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