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3 Courses

Adaptive AUTOSAR
Automotive/Electric Vehicle Technology
Preview Course

Automotive/Electric Vehicle Technology

Adaptive AUTOSAR

HRDC Registration No: 10001474333
Duration: 5 Days (35 Hours)

Course Overview

This program offers an in-depth exploration of the Adaptive AUTOSAR architecture and its practical implementation on a POSIX-compliant platform. Through hands-on labs using Raspberry Pi devices, participants will master key concepts like service-oriented communication, functional clusters, and secure communication while addressing future trends in automotive systems such as cloud services and autonomous driving.


Who Should Attend and Why Choose This Course

Targeted Industries:

  • Automotive Engineering
  • Embedded Systems Development

Audience by Designation:

  • Software and Embedded Systems Engineers
  • Automotive System Architects
  • Application Developers
  • Technical Leads in Automotive Projects

Learning Outcomes

Participants will:

  • Understand Adaptive AUTOSAR architecture, including service-oriented architecture and dynamic configuration.
  • Install and configure the Adaptive AUTOSAR stack on Raspberry Pi 3B+.
  • Develop and deploy Adaptive AUTOSAR applications utilizing functional clusters.
  • Implement secure communication, service discovery, and dynamic services using SOME/IP.
  • Simulate OTA updates and integrate Raspberry Pi in autonomous driving scenarios.
  • Address and mitigate cybersecurity threats in Adaptive AUTOSAR environments.

Prerequisites

  • Familiarity with AUTOSAR Classic Platform (preferred but not required).
  • Proficiency in C++ Programming.
  • Experience with Linux/Yocto Development.
  • Basic understanding of Embedded Systems, Networking, and Communication Protocols.

Teaching Methodology

  • Interactive Lectures and Discussions
  • Hands-On Labs with Raspberry Pi
  • Capstone Project Simulating Real-World Scenarios
  • Peer Learning and Group Activities
  • Debugging and Troubleshooting Sessions
  • Emphasis on Future Trends

Lab Setup

  • Raspberry Pi 3B+ devices configured with a POSIX-compliant OS.
  • Tools for application development, debugging, and inter-process communication.

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  • Communication Protocols In Electric Vehicles
    Automotive/Electric Vehicle Technology
    Preview Course

    Automotive/Electric Vehicle Technology

    Communication Protocols In Electric Vehicles

    HRDC Registration No: 10001474331
    Duration: 5 Days (35 Hours)

    Course Overview

    This comprehensive program provides a deep dive into critical communication protocols used in electric vehicles (EVs), including CAN, CANFD, FlexRay, Automotive Ethernet, SOME/IP, and DoIP. The course focuses on architecture analysis, secure communication methods, and advanced diagnostic protocols, equipping participants with cutting-edge knowledge to implement and secure communication in EV systems effectively.


    Who Should Attend and Why Choose This Course

    Targeted Industries:

    • Automotive Engineering
    • Electric Vehicle Development
    • Embedded Systems

    Audience by Designation:

    • EV Engineers and Developers
    • System Architects (In-Vehicle Networks and Communication Security)
    • EV Diagnostics, Testing, and Validation Professionals
    • Researchers in EV Communication Protocols

    Learning Outcomes

    By the end of this course, participants will:

    • Master EV communication protocols, including CAN, CANFD, and FlexRay.
    • Implement and secure Automotive Ethernet and SOME/IP.
    • Gain expertise in diagnostic protocols (UDS and DoIP).
    • Secure communication networks within EVs using industry standards like ISO/SAE 21434.
    • Design secure, efficient EV gateways.
    • Explore future trends, such as V2X, 5G, and quantum encryption for EVs.

    Prerequisites

    • Solid foundation in Embedded Systems, Networking, and Automotive Diagnostics.
    • Working knowledge of communication protocols and cybersecurity concepts.

    Teaching Methodology

    • Interactive Lectures and Demonstrations
    • Hands-On Labs
    • Case Studies and Real-World Examples
    • Collaborative Exercises
    • Discussions on Emerging Trends

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  • Embedded Android Automotive Custom Service Development for In-Vehicle Infotainment Products
    Automotive/Electric Vehicle Technology
    Preview Course

    Automotive/Electric Vehicle Technology

    Embedded Android Automotive Custom Service Development for In-Vehicle Infotainment Products

    HRDC Registration No: 10001474332
    Total Duration: 6 Days

    Course Overview

    This program is tailored for engineers and developers aiming to deepen their knowledge of Android Automotive OS for the automotive sector. It covers the architecture, components, and critical elements like the Vehicle Hardware Abstraction Layer (HAL), audio systems, and exterior view systems. Emphasizing hands-on learning, participants will create custom services, integrate driver components, and develop applications for vehicle properties, equipping them with industry-relevant skills to excel in automotive software development.


    Who Should Attend and Why Choose This Course

    Targeted Industries:

    • Automotive Engineering
    • Embedded Systems Development
    • In-Vehicle Infotainment Systems

    Audience by Designation:

    • Software Engineers (Embedded Systems)
    • Automotive Systems Engineers
    • Android Automotive OS Developers
    • System Architects (Vehicle HAL)
    • Automotive Infotainment Researchers

    HRDC Claimable ID: 10001474332


    Learning Outcomes

    By completing this training, participants will:

    • Comprehend the Android Automotive OS architecture.
    • Master implementation and customization of Vehicle HAL.
    • Gain expertise in Android Automotive audio and exterior view systems.
    • Execute comprehensive projects involving vehicle properties, HAL support, and custom services.

    Prerequisites

    • Basic knowledge of Embedded Systems and Automotive Technologies.
    • Familiarity with Linux OS and system-level programming.

    Teaching Methodology

    • Interactive Lectures
    • Demonstrations and Tutorials
    • Hands-On Projects
    • Group Exercises
    • Exploration of Advanced Topics

    Lab Setup

    • Workstations equipped with Android Automotive OS development environments.
    • Vehicle simulation tools for HAL and property testing.
    • Tools: Soong, Ninja, ADB, Android Studio, Compilers.

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