EV EMBEDDED TRAINING
offered by Embedded Box

EV EMBEDDED TRAINING
at
Embedded Box
Overview

The Online EV Embedded Course aims to immerse participants in the cutting-edge developments of the electric vehicle industry, emphasizing the fusion of emerging technologies such as Internet of Things (IoT) integration, vehicle-to-grid communication, and autonomous driving functionalities

Duration	3 months
Total fee	₹80,000
Mode of learning	Online
Official Website	Go to Website
Credential	Certificate

EV EMBEDDED TRAINING
at
Embedded Box
Highlights

Earn a certificate after completion of course
Fee payment can be done in installments

EV EMBEDDED TRAINING
at
Embedded Box
Course details

Skills you will learn

Networking C Embedded systems

More about this course

An online EV embedded course offers specialized training in designing and programming embedded systems tailored to electric vehicles, encompassing EV-specific electronics, software development, and battery management systems

Our 100% guaranteed placements stand as a testament to the effectiveness of our training programs

We maintain strong industry connections, collaborating with leading companies to facilitate placement opportunities for our graduates

Participants not only gain hands-on experience through live projects but also receive project certificates, adding significant value to their portfolios

EV EMBEDDED TRAINING
at
Embedded Box
Curriculum

Advanced C/Modern C++

Introduction to Embedded Programming

Multithreading/IPC

C/C++ Programming in Linux Environment

Advanced C (Pointers, Makefile, Structures etc)

Modern C++ (OOPS STL, Concurrency, and more)

Software & Technologies Used: C/C++

CAN and UDS

Introduction to CAN

CAN Transmission/Reception/Data Protection

Introduction to UDS

UDS services

Hands-on practice in using PCAN explorer

Multicore Microcontroller Programming

Introduction to Multicore microcontroller (Infineon Aurix Tricore based target platform)

Peripherals usage in Multicore microcontroller

RTOS implementation in Multicore microcontroller

Software & Technologies Used :Infineon Aurix

AUTOSAR Integration

AUTOSAR Stack (MCAL,Com,Memory,Diag) hands-on practice

AUTOSAR implementation using Cordoba Studio & ARM Cortex M4

Model Based Development

When developing complex physical systems like those in electric vehicles, Model Based Development can be used to simulate and visualize the behavior of the system

Microcontroller Concepts

Memory Map, IO Peripherals We have been doing a lot of microcontroller coding

Basic Networking with nodemcu

Basic Wireless Networking

Sensor Log

HTTP and REST API

Networks allow us to transport data from one point to another

Raspberry pi

Introducing the Raspberry Pi
Course Objectives and Course Map

Booting the Raspberry Pi 3

OS Options Overview

Interfacing Hardware with the Raspberry Pi