Introduction to Software Defined Vehicles Training Logo

Introduction to Software Defined Vehicles Training

Live Online & Classroom Enterprise Training

Learn the fundamentals of Software Defined Vehicles, focusing on how software drives modern vehicle functionality, connectivity, and innovation.

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What are the objectives of Introduction to Software Defined Vehicles Training ?

  • Understand the concept and evolution of Software Defined Vehicles
  • Learn SDV architecture and key components
  • Explore vehicle connectivity and cloud integration
  • Understand OTA updates and lifecycle management
  • Gain insights into automotive software development trends
  • Who is Introduction to Software Defined Vehicles Training for?

  • Automotive Engineers
  • Embedded Systems Engineers
  • Software Developers interested in automotive domain
  • IoT and Connected Systems Professionals
  • Engineering students and beginners in automotive tech 
  • What are the prerequisites for Introduction to Software Defined Vehicles Training?

    Basic understanding of software development concepts
    Familiarity with embedded systems
    Basic knowledge of networking concepts
    Interest in automotive technologies
    Understanding of operating systems

    Learning Path Recommendations:
    Introduction to Automotive Industry & SDV Concept 
    Vehicle Architecture and Embedded Systems 
    Connectivity and Cloud Integration 
    OTA Updates and Software Lifecycle Management 
    Cybersecurity, Safety, and Future Trends 

    Alternate/Related Courses:
    AUTOSAR Fundamentals
    Embedded Systems Design
    Automotive Cybersecurity
    IoT and Connected Systems

    Certifications (Optional):
    Automotive SPICE (ASPICE) Fundamentals
    AUTOSAR Certification

    Available Training Modes

    Live Online Training

    2 Days

    Course Outline Expand All

    Expand All

    • • What is an SDV?
    • • Evolution: Mechanical → Electronic → Software Defined
    • • SDV vs Traditional ECUs
    • • Domain vs Zonal Architectures
    • • HPCs and Central Compute Platforms
    • • Vehicle Operating Systems (Linux, QNX, Adaptive AUTOSAR)
    • • Why QNX Is So Important in the Automotive World
    • • In-Vehicle Communication (CAN, LIN, Ethernet, FlexRay)
    • • Application Layer (ADAS, HMI, Infotainment, etc.)
    • • Middleware Layer (SOME/IP, DDS, MQTT)
    • • BSW, Adaptive AUTOSAR, and Hypervisors
    • • Classic Vs Adaptive AUTOSAR
    • • Cloud & Edge Integration
    • • Over-The-Air (OTA) Updates
    • • OTA Architecture, Types, and Different Terms
    • • Digital Twin and AI/ML Integration
    • • Cybersecurity and Secure Bootloaders
    • • Vehicle Personalization and Data Logging
    • • Software-Defined Vehicles Enabling Technologies
    • • CI/CD, DevOps in Automotive
    • • Virtual ECUs & Model-Based Design
    • • Testing Methods: MiL, SiL, HiL
    • • Tools: - Vector, ETAS, dSPACE, MATLAB/ Simulink
    • • Technical & Regulatory Challenges
    • • Future Trends & Career Paths
    • • Overview of all the lectures

    Who is the instructor for this training?

    The trainer for this Introduction to Software Defined Vehicles Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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