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. The course completion certificate from Embedded Box is a recognized symbol of expertise, contributing to the credibility of our graduates as they enter the competitive job market. Choose Embedded Box for a comprehensive and industry-aligned EV Embedded training experience that propels you towards a successful and rewarding career.

Course Details

Automobile technological types of progress require advanced software blends, driving an interest for engineers who can change, embrace, and manage at scale. These scopes of capacities require extensive stretches of inclusion to make or through diversions of real-life projects. Organized by embedded structures trained professionals, this program will coordinate experienced engineers in framing additionally created occupation headings. This automotive embedded systems program will help experienced engineers with making versatile ECUs. This program helps engineers with making automotive industry-essential capacities in critical elements of the embedded software headway field in the automotive industry, this program helps engineers with making automotive industry-fundamental capacities and dynamic working environment.

Training Syllabus

Today we hear a ton about this new period of "smart" and "associated" all over — smart homes, smart vehicles, smart contraptions, and, surprisingly, smart endeavors. No region of our work or individual lives is by all accounts immaculate by these progressions in making a definitive associated insight.

In addition to theoretical and practical training, Embedded Box goes the extra mile to prepare participants for the professional landscape. Our mock interview sessions are designed to simulate real-world job interviews, allowing students to refine their communication skills and build confidence. The pay-after-placement option demonstrates our commitment to the success of our participants, ensuring they invest in their education with confidence, knowing that their payment is linked to securing a placement.

EV Embedded Online Training


This change has provided the high level purchaser with an exceptional proportion of convenience and comfort through smarter living. This has moreover raised buyer presumptions, and advancement innovators are ceaselessly attempting to satisfy these consistently growing necessities.

The objectives of the Online Electric Vehicle - EV Embedded Course are twofold. Firstly, this course aims to provide participants with a comprehensive understanding of the intricate interplay between electric vehicle technology and embedded systems. Through in-depth theoretical modules and practical hands-on exercises, participants will grasp the fundamentals of electric propulsion, energy management, and battery technologies, alongside the crucial role of embedded systems in optimizing EV performance and efficiency.

Secondly, this EV Embedded course seeks to equip participants with the practical skills necessary to design, implement, and troubleshoot embedded systems tailored specifically for electric vehicles. Participants will learn to develop control algorithms for regenerative braking, manage battery charging and discharging, integrate sensor networks for vehicle monitoring, and ensure robust cybersecurity measures to safeguard EV operations. By the course's completion, participants will be well-prepared to contribute actively to the burgeoning field of electric mobility, combining their expertise in both electric vehicle technology and embedded systems to innovate and enhance the capabilities, sustainability, and user experience of electric vehicles.

Furthermore, 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. Participants will gain hands-on experience in configuring embedded systems to address these evolving challenges and opportunities.


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Mock Interviews

Pay After Placements

Live Projects

Interview Preparation

100% guaranteed Placement

ISO 9001 : 2015 Certified

Course Certificate

Project Certificate

Welcome to Embedded Box, India's premier online training institute specializing in EV Embedded Courses. Our cutting-edge curriculum is meticulously designed to provide aspiring professionals with comprehensive knowledge and hands-on experience in the field of Embedded Systems, with a particular focus on Electric Vehicle (EV) applications. As the automotive industry undergoes a paradigm shift towards sustainable and eco-friendly solutions, our EV Embedded course stands at the forefront, ensuring that participants are well-equipped to contribute to this transformative industry.

What sets Embedded Box apart is our commitment to the success of our students. With features such as mock interviews, pay-after-placement options, and an impressive 100% guaranteed placement record, we go beyond conventional training programs. Our hands-on approach includes live projects that allow participants to apply theoretical knowledge to real-world scenarios, fostering a deeper understanding of EV Embedded Systems. Additionally, successful completion of our course not only earns participants a project certificate but also a coveted course completion certificate, enhancing their credibility in the job market.

At Embedded Box, we understand that the ultimate goal of any training program is to secure meaningful employment. With our unique pay-after-placement model and unwavering commitment to delivering quality education, we ensure that participants not only gain the skills required for the EV Embedded industry but also land rewarding positions in top-notch organizations. Join us at Embedded Box and embark on a transformative journey towards a successful and fulfilling career in EV Embedded Systems.

Embedded Box takes pride in being at the forefront of EV Embedded training in India, offering a holistic learning experience. Our instructors are industry experts with extensive experience in Electric Vehicle Embedded Systems, providing valuable insights into the latest trends and technologies shaping the field. With a curriculum that combines theoretical knowledge and practical application, our EV Embedded course covers topics such as embedded programming, communication protocols, sensor integration, and power management systems specific to electric vehicles.


EV With Embedded Systems

Advanced C/Modern C++

C and C++ technologies are predominantly used in the development of embedded systems due to their high efficiency and security. For any learner looking to advance their career in electric vehicle embedded software development, a strong understanding of C and C++ is essential. This module will cover the following:

  • 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++


C and C++ technologies are predominantly used in the development of embedded systems due to their high efficiency and security. For any learner looking to advance their career in electric vehicle embedded software development, a strong understanding of C and C++ is essential. This module will cover the following:

  • Introduction to CAN
  • CAN Transmission/Reception/Data Protection
  • Introduction to UDS
  • UDS services
  • Hands-on practice in using PCAN explorer.

  • Software & Technologies Used:

  • CAN USB Hardware
  • PCAN Explorer

Multicore Microcontroller Programming

  • Python Basics and programming

  • Electric vehicles have complex systems that require multi core multi controllers to meet high performance demands. This module will cover the following:

  • 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 has defined a standardized framework for software architecture used in the automotive space for ECUs. It ensures that ECUs are versatile, and can be used for different variants. This module will cover the following:

  • AUTOSAR Stack (MCAL,Com,Memory,Diag) hands-on practice
  • AUTOSAR implementation using Cordoba Studio & ARM Cortex M4

  • Software & Technologies Used

  • Cordoba
  • IT Hardware

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. For this, software tools such as MATLAB and Simulink are used. This module will cover the following: Introduction to Simulink for MBD Debugging in Simulink MIL, SIL, Requirement Analysis MAAB Guidelines, JMAAB Guidelines Communication Protocols, ADAS SLDV, SLTM Software & Technologies Used MATLAB Simulink

Microcontroller Concepts

  • User Interface Buttons and displays: IoT devices often require a “human-machine interface” and this is often hard to build due to microcontroller limitations. In this video, we look at buttons and display modules and explain how these are controlled from microcontroller code.
  • Microcontroller Concepts – Memory Map, IO Peripherals We have been doing a lot of microcontroller coding. Now it is time to look under the hood and understand the internal architectures of these machines. We also look at how code and data are organized.
  • Arduino Hardware Overview: We have been using one microcontroller platform – the Arduino Nano qbut there are several others out there. Here, we take a walk through the world of popular Arduino hardware – both official and communitysupported.

Basic Networking with nodemcu

This is the first look at the second of our two microcontroller platforms – the nodemcu. This is a true IoT enabled microcontroller, since it has built in WiFI. We jump right in and write our very first program for it and control an LED from the cloud!

  • Basic Wireless Networking: Time to take a step back and look deeper into how Wi-Fi works. This video teaches you the basics of networking, Wi-Fi architecture and security.
  • Sensor Log: Here are more advanced exercise using the node mcu. We connect a few sensors to it and build a sort of mini weather station.
    Advance Microcontroller Concepts
  • LED blink using MQTT: In this video, we introduce MQTT, a lightweight yet powerful protocol for messaging. We use it to build an example, which, while similar in functionality to an example we built before, is transparent in terms of its underlying architecture.
  • Messaging and MQTT: Here, we take a deeper look at messaging and the “pub-sub” pattern. We discuss how it is different from REST and why it is often preferred in the case of IoT devices.
  • Microcontrollers Concepts – Interrupts, Timers, Callbacks, Re-entrancy, Watchdogs In this video on micro controller internals, we look at common design patterns used in building firmware. We also go over basic concepts like re-entrancy, mutexes and error handling. We also look at performance aspects – latencies, throughput and other parameters.
  • Device Configurations, Discovery and OTA Time to take a leap from building a demo to building a product. What should you worry about as you put your IoT device into the end-user’s hand? How is the product deployed, discovered, secured and maintained?


Networks allow us to transport data from one point to another. But how is one device controlled by another? This video looks at the client-server architecture and in particularly at HTTP and RESTful interfaces.

Raspberry pi

    Getting Started with Raspberry Pi
  • Introducing the Raspberry Pi: Get up and running with the Raspberry Pi 3. Learn to make the connections, power it up and take a tour of its desktop environment.
  • Course Objectives and Course Map: Understand the overall plan for this module. We provide a quick overview of what we’ll learn and of the major projects we’ll be doing.
  • Booting the Raspberry Pi 3: A more fundamental look at booting the Raspberry Pi 3. Understand how to download an operating system, format an SD card and boot the OS. Also, learn the rudiments of the file system.
  • OS Options Overview: While we’ll use the Raspbian image as the reference for the rest of this course, we spend some time in this video looking at what other OS options are available for the Raspberry Pi, and why you might want to check them out.
  • Camera Interfacing : Application Imaging, Video Recording

Interfacing Hardware with the Raspberry Pi

  • Raspberry Pi Remote Access: Learn to operate the Raspberry Pi in “headless mode” by logging into it remotely. We’ll also discuss how to move ata (or files) from your PC to the Raspberry Pi and back.
  • Bash Command-line: A short primer on Linux terminal commands, or more specifically, a quick tour through the basic command set for the bash shell. Get comfortable operating you Raspberry Pi without needing a GUI interface.
  • Raspberry Pi LED Blink Example: Time to bring out the electronic components. The Raspberry Pi’s connector allows you extend its functionality using external hardware and in this video, we begin to explore how this is done.
  • Linux Overview and Device Drivers: High-level operating systems, such as Linux, require the use of a device driver for user programs to access hardware. We look at why this is, what a device driver does, and how to build one.

Google Firebase

Google firebase
  • Connecting device to Google Firebase
  • Creating real time database in google firebase
  • Creating Web server using Firebase
  • HTTP and MQTT On firebase
  • Appliance control through google assistant
  • use of Amazon Alexa on Raspberry Pi

Machine-to-Machine Communication

  • Sensors Integration: We continue the journey we started in video and interface yet more hardware to the Raspberry Pi. We learn how to deal with inputs and digital protocols from within user programs.
  • Local Blynk Server: Blynk provides a simple means to tie together smartphones and IoT gadgets. In this video, we control a NodeMCU from a smartphone via a Blynk server running on Raspberry Pi.
  • Node-red: M2M and Gateway: We expand on the previous example and use it as a basis to discuss machine-to-machine communication, an IoT node vs gateway and related concepts.

Multimedia Concepts

  • Raspberry Pi Media Server This video introduces a high-performance application on the Raspberry Pi – a complete content streaming server.
  • Running Services: :Learn about the Linux boot up sequence, run levels, and how to run programs automatically on boot up.

Speech Processing Concepts

  • Voice Control Application: Explore speech processing on Raspberry Pi. Speech recognition is an important emerging interface for IoT devices and this example introduces the topic.
  • Voice Control System Architecture: A more detailed look at how the last example was put together. Once again, we look at performance, introduce metrics, and compare with video processing.
  • Amazon Alexa tool & Google voice assistant:
  • Raspberry Security Cam: We have covered video playback and speech processing. Now, its time to learn video processing. In this video, we set up our example and demonstrate how it works.

Amazon AWS IOT:

  • We move to IaaS with Amazon’s cloud offering – AWS.
  • This means creating your own server instance in the cloud, choosing and configuring its OS, and running your service.
  • AWS IoT core services, AWS Message Brokers
  • AWS Elastic Compute Cloud ec2 instance, Server deployment in AWS
  • Case Study on Home Automation: In this first of our case studies, we examine what an ideal home automation system will look like and how it will be organized. We’ll talk about the nodes, the gateway and the cloud services that such a system would need.

Connectivity beyond Wi-Fi

Connectivity beyond Wi-Fi
  • Case Study on Smart City IoT technology is relevant for more than just consumer goods. This video looks at how we might go about building smart city solutions.
  • BLE: Connectivity at ultra-short ranges can be just as important as those at longer distance when it comes to certain IoT applications. We look at bluetooth and other radio frequency alternatives.

Course Outcomes

  • Develop and implement IoT system, solutions, and applications.
  • Good understanding of reference architecture, like- Network, Device, Application & Client server vs Public Subscribe.
  • Design IoT Device – sensors, embedded development boards,
  • Interfacing peripherals & programming GPIOs & Design Considerations.
  • Work with IoT Communication Protocols like- wired, wireless, Networking & Application
  • Write applications using programming Languages


EV Embedded

EV Embedded Software Engineer

EV Embedded Hardware Engineer

EV Embedded Systems Architect

Functionality Safety Engineer

Embedded Test Engineer

Control Systems Engineer

Automotive Embedded Consultant

Embedded Solutions Consultant

The field of embedded systems offers a wide range of career opportunities due to its widespread applications in various industries. Embedded systems are specialized computing systems designed to perform dedicated functions or tasks within a larger system. Here are some career opportunities in the field of embedded systems:

  • EV Embedded Software Engineer:
    • Design, develop, and test software that runs on embedded systems.
    • Work with low-level programming languages such as C, C++, and assembly.
    • Collaborate with hardware engineers to optimize software performance.
  • EV Embedded Hardware Engineer:
    • Design and develop hardware components for embedded systems.
    • Work with microcontrollers, microprocessors, sensors, and other electronic components.
    • Conduct hardware debugging and testing.
  • Firmware Engineer:
    • Develop firmware, which is a type of software that is closely tied to hardware and is often stored in non-volatile memory.
    • Optimize code for resource-constrained environments.
    • Work on device drivers, communication protocols, and system initialization.
  • EV Embedded Systems Architect:
    • Design the overall structure and architecture of embedded systems.
    • Make decisions regarding hardware and software components to meet specific requirements.
    • Consider factors such as power consumption, performance, and cost.
  • IoT (Internet of Things) Engineer:
    • Develop embedded systems for IoT applications.
    • Work on connecting devices and enabling communication between them.
    • Implement security measures for IoT devices.
  • Automotive Embedded Systems Engineer:
    • Work on embedded systems for automotive applications, such as engine control units (ECUs), infotainment systems, and safety systems.
    • Understand automotive standards and protocols.
  • Medical Device Embedded Engineer:
    • Design and develop embedded systems for medical devices.
    • Ensure compliance with regulatory standards in the healthcare industry.
    • Focus on reliability and safety.
  • Aerospace Embedded Systems Engineer:
    • Work on embedded systems for aircraft, satellites, and space exploration.
    • Consider factors such as weight, power consumption, and environmental conditions.
  • Robotics Engineer:
    • Develop embedded systems for robotics applications.
    • Work on control systems, sensors, and actuators for robots.
    Consumer Electronics Engineer:
    • Design embedded systems for consumer electronics such as smartphones, smart TVs, and home automation devices.
    • Consider user experience and connectivity features.
  • Security Engineer in Embedded Systems:
    • Focus on implementing security measures to protect embedded systems from cyber threats.
    • Work on encryption, secure boot, and authentication protocols.
  • Machine Learning Engineer for Embedded Systems:
    • Integrate machine learning algorithms into embedded systems.
    • Optimize algorithms for real-time processing and resource-constrained environments.
  • Research and Development (R&D) Engineer:
    • Engage in research to explore and develop new technologies for embedded systems.
    • Contribute to innovation and advancements in the field.
  • Quality Assurance Engineer:
    • Test and validate embedded systems to ensure they meet specified requirements.
    • Develop and execute test plans, including both hardware and software testing.
  • Project Manager or Team Lead:
    • Lead teams of engineers in the development of embedded systems projects.
    • Coordinate tasks, manage resources, and ensure project timelines are met.
  • Technical Support Engineer:
    • Provide technical support for embedded systems products.
    • Assist customers in troubleshooting issues and implementing solutions.

The field of embedded systems is dynamic and constantly evolving, offering opportunities for professionals with diverse skills and interests. As technology continues to advance, the demand for skilled embedded systems professionals is likely to remain strong across various industries.

Certification from Embedded Box

Online EV Embedded Training Online


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Automotive Embedded


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  • Live Industry Project
  • Duration-6 Months
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Google Reviews

Khush Pawar

EV Embedded Engineer

embeddedbox reviews  

Embedded Box is a game-changer in the field of online EV embedded Course training. The courses are thoughtfully designed, combining theoretical knowledge with hands-on projects. The instructors are experienced and supportive, fostering a dynamic learning environment. With industry-aligned content, Embedded Box prepares you not just for certifications but for real-world applications. Whether you're a beginner or looking to advance your skills, this platform is the perfect choice for a successful career in embedded systems.

Nitin Sawant

EV Engineer

embeddedbox reviews  

Embedded Box has been a transformative learning experience for me. Online EV embedded courses are comprehensive, combining theoretical concepts with practical, hands-on projects. The instructors are experts in the field, providing valuable insights and guidance. The platform's industry focus ensures relevance, making it an ideal choice for those seeking to excel in embedded systems. Whether you're a beginner or looking to upskill, Embedded Box offers top-notch education, a supportive community.

Rohan Thakur

EV Engineer Architect

embeddedbox reviews  

Embedded Box's online EV Embedded Course is the best in Chennai! The curriculum, hands-on projects, and expert guidance make it a standout choice for anyone aspiring to excel in the dynamic field of electric vehicles. The online format provides flexibility, and the industry-aligned content ensures you're well-prepared for the evolving landscape. Whether you're a novice or seasoned professional, the online EV Embedded Course at Embedded Box is the perfect pathway to gain expertise.

Shrabani Chauhan

EV Hardware Engineer

embeddedbox reviews  

Embarking on Embedded Box's online EV Embedded Course has been a great experience for my career aspirations. The meticulously crafted curriculum, coupled with hands-on projects, provides an immersive understanding of electric vehicle technology. The online format ensures flexibility, and the promise of 100% placement assistance adds immense value, making it a top-notch choice for those seeking not just education but a guaranteed pathway to success in the dynamic realm of EVs. Highly recommended for its innovation, practicality.

Naman Kupesh Dhotre

Embedded Architect

embeddedbox reviews  

Embedded Box is a game-changer for anyone pursuing a career in embedded training online. The courses are meticulously crafted, providing a perfect blend of theoretical knowledge and hands-on projects. The expert instructors offer invaluable insights, creating a dynamic learning environment. The emphasis on industry relevance ensures graduates are well-prepared for the challenges in the real world. Whether you're a beginner or an experienced professional, Embedded Box is the go-to platform for honing your skills.


Frequently Asked Questions

Which Software’s is used in Online EV Embedded Course ?

In Embedded Box's EV training, participants will gain hands-on experience with software applications such as Battery Management Systems (BMS) software for efficient battery control and monitoring, Electric Powertrain Control software for managing the electric motor and transmission, and Charging Control software for effective control of the EV charging process. The training also covers Vehicle Control Unit (VCU) software to integrate these systems and ensure optimal communication and coordination for enhanced electric vehicle performance.

What role do Embedded Systems play in Electric Vehicles (EVs) in the Embedded Box training?

In the Embedded Box training, participants learn that Embedded Systems in EVs control critical functions like the Battery Management System (BMS), Electric Powertrain, and Charging Control. These systems, managed by embedded software, ensure efficient operation, optimal performance, and seamless integration of various components within an electric vehicle.

What is the average salary of an Online EV Embedded Engineer, and does Embedded Box training contribute to salary growth in this field?

The average salary of an online EV Embedded Engineer can vary based on factors such as experience, location, and industry demand. Completing Embedded Box training enhances one's skills, making them more competitive in the job market and potentially contributing to salary growth as employers value specialized knowledge in electric vehicle embedded systems. Average Salary of EV Embedded Engineer is 5 LPA to 26.23 LPA.

What is considered the best online Online EV Embedded Course offered by Embedded Box?

Embedded Box offers a comprehensive EV Embedded Systems course that is highly regarded for its industry-aligned curriculum, hands-on projects, and expert instruction, making it a top choice for individuals seeking to enhance their skills in electric vehicle embedded systems.

Which institute in Chennai is considered the best for an Online EV Embedded Course, and how does Embedded Box stand out in this regard?

Embedded Box is recognized as a leading institute in Chennai for its online EV Embedded Course, offering a well-structured curriculum, hands-on training, and industry-relevant expertise, making it a preferred choice for those seeking comprehensive education in electric vehicle embedded systems.

What are the highlights of the Online EV Embedded Course offered by Embedded Box?

The online EV Embedded Course by Embedded Box stands out for its hands-on project-based learning, industry-relevant curriculum, and expert instructors. Participants gain practical experience in key areas such as Battery Management Systems, Electric Powertrain Control, and Charging Control, preparing them for successful careers in the rapidly evolving field of electric vehicles.

What is the current scope of the Online EV Embedded Course offered by Embedded Box in the market?

The online EV Embedded Course at Embedded Box is designed to meet the growing demand for skilled professionals in the electric vehicle industry. With the increasing focus on sustainable transportation, individuals completing this course are well-positioned to pursue diverse and rewarding career opportunities in the evolving market for electric vehicles and their embedded systems.

What are the highlights of the Online EV Embedded Course offered by Embedded Box?

The EV Embedded Course by Embedded Box stands out for its hands-on project-based learning, industry-relevant curriculum, and expert instructors. Participants gain practical experience in key areas such as Battery Management Systems, Electric Powertrain Control, and Charging Control, preparing them for successful careers in the rapidly evolving field of electric vehicles.

What does the Online EV Embedded Systems course at Embedded Box entail?

The Online EV Embedded Systems course at Embedded Box focuses on training participants in the design and implementation of embedded systems for electric vehicles. Covering areas such as Battery Management Systems, Electric Powertrain Control, and Charging Control, the program equips individuals with specialized skills required in the dynamic and rapidly evolving field of electric mobility.

What should I learn from the Online EV Embedded Course at Embedded Box?

The online EV Embedded Course at Embedded Box covers essential topics such as Battery Management Systems, Electric Powertrain Control, Charging Control, and Vehicle Control Unit software. Participants will gain expertise in designing, implementing, and optimizing embedded systems for electric vehicles, preparing them for roles in this rapidly advancing and transformative industry.

How can I secure a job in the Online EV embedded course industry after completing training with Embedded Box?

Embedded Box's online EV Embedded Course equips participants with specialized skills in Battery Management Systems, Electric Powertrain Control, and other crucial areas. The program includes practical projects and offers career support, enhancing your chances of securing a job in the rapidly growing field of electric vehicle embedded systems.

Is there a demand for professionals skilled in Online EV embedded systems course, and how does Embedded Box address this industry demand?

Yes, there is a substantial demand for individuals with expertise in online EV embedded systems as the electric vehicle industry continues to grow. Embedded Box's EV Embedded Course is designed to meet this demand by providing comprehensive training in key areas, ensuring participants are well-prepared for rewarding careers in the expanding field of electric vehicles.