Automotive IoT and Applications
Automotive IoT integrates internet-connected devices into vehicles, enhancing safety, efficiency, and user experience. Key applications include real-time vehicle tracking, advanced driver assistance systems (ADAS), infotainment, fleet management, and V2X communication. These technologies provide benefits such as improved safety through real-time alerts, optimized driving routes, and enhanced in-car connectivity and entertainment.
IoT
Start date: June 2025
What you'll learn
- About IoT and IoT life cycle
- Architecture of IoT
- Benefits and future of iot
- Working with SoC's and Various Sensors
Approach
- Lead by industry experts
- Hands-on
- Real time project implementation
- Industry certificate
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- Overview of IoT and its application in the automotive industry
Evolution of connected vehicles - Challenges and opportunities in automotive IoT
- Connected Vehicle Technologies
Communication protocols and standards (CAN) - Wireless technologies (e.g., Wi-Fi, Bluetooth, Cellular
Course content
CAN (Controller Area Network) BUS
Arduino MCP2515 CAN BUS Interface
Hardware Overview of CAN BUS Shield V2.0
Pin map of CAN BUS Shield V2.0
Hardware Connection
Setting up Software
Understanding PID’s
APIs (Application Program Interface)
Set Receive Mask and Filter
- Hands-on
- Industry based use cases
- Hybrid mode (Online & Offline)
- 2 Months concepts oriented sessions followed by next 2 months project mentoring (hybrid)
- Exposure to Domain and Process – Agile methodology
- Knowledge of L1
- Fundamentals of C/C++
This course includes:
- Introduction to statistics course (either currently taking or already have completed) is recommended but not absolutely necessary
- Access to IBM SPSS Statistical software (strongly recommended)
