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