ELECTRONICS ENGINEERING - 

BACKBONE OF

ANY INTELLIGENT

SOLUTION

Think of a smart electric vehicle, electronic product, medical devices, mechanical machinery, home equipment, telecommunication solution, IT infrastructure or even rocket science, electronics engineering is an integral part of these solution. Todays world is unimaginable without electronics. In today's time of slowdown, the brightest future can be planned properly in this field. We just need to convert our challenges in to opportunities. Let's see how?

THE MOST EXCITING OPPORTUNITY

Entire world is working very fast to make Electric Vehicles (EV). These are bound to be smart, safe, cost effective, easy to use, and ladden with lots of latest technology features. Electronics engineering is playing a central role, may be to control the power between battery and motor, may be to manage the battery, responsive power supply to wheels, communicating with IOT solutions, and so many critical activities.  Probably it is the biggest opportunity ever for an electronics engineer. Do not miss it, decide fast to benefit from it, before its too late.

BASIC COMES FIRST - EMBEDDED PROGRAMMING

Embedded programming is where the heart of the system lies. It manages your solution, it manages mechanical, electrical and other equipments. To play a central responsible role, you must be an expert of the programming, Look at minimum suggested coverage you need to provide in industry to be a reliable embedded programmer or solution provider. 

Embedded Programming

The main engine of all solutions

When we say to learn embedded programming then we mean to learn as per industry. Do not keep any restriction to limit yourself in constraints of college syllabus, Go as per the industry and cover following topics in supervision of industrial trainers:

  • Architecture of AMR7 / LPC2129 microcontroller

  • GPIO Programming / Interfacing

  • Timer Programming

  • ADC Programming

  • Interrupt Programming

  • SPI Programming (register / protocol)

  • CAN register / protocol Implementation

  • Communication between two controllers through CAN protocol

  • Ethernet Application Programming

  • Overview of Boot Loader (overview of usage in Automotive industry)

  • Memory layout in microcontroller (linker / MamMap file)

  • Basic Linux Programming

  • Project assignment

  • Objective and programming based exam.
     

IOT - INTERNET OF THINGS - ENDLESS POSSIBILITIES

You must have heard, IOT has no limits. It's true. Once you understand the architecture of the IOT then you will understand the reason behind it. Look at the course curriculum to guess how it works and learn with someone who has actually implemented IOT solution in industry.

SUGGESTED LEARNING

  • Introduction to IOT

  • Basics of Networking, Protocols

  • Sensors Networks

  • M2M Communication

  • RFID, Door sensor, Bar code, QR code, heat sensor, camera sensor, proximity sensor, bluetooth, etc.

  • Introduction to Arduino Programming

  • Integration of Sensors and Actuators with Arduino

  • Introduction to Python programming

  • Introduction to Raspberry Pi

  • Implementation of IOT with Raspberry Pi

  • Cloud Computing

  • Sensor Cloud

  • SOA architecture and messaging

  • Offline synchronization

  • GSM communication

  • Introduction to connected Vehicles

  • Smart Grid

  • Industrial IOT - Case Study: Agriculture, Healthcare, Activity Monitoring.

  • Live Project Implementation - This is critical

THE BEST BET - EMBEDDED IOT

When we say BEST BET, then we mean it. If you are able to combine embedded programming with IOT, along with little bit of IT solution then you would be not only hot cake in market, you may even think of starting your own solution centre and business around it. Look at course coverage we are talking about, to decide yourself.

DESIGNED FOR EXCELLENCE

  • Embedded C, Embedded Linux

  • Microcontroller & Interfacing

  • Real Time Operating system (RTOS)

  • Using pre-fabricated PCB hardware

  • Introduction to IOT

  • Basics of Networking, Protocols

  • Sensors Networks

  • M2M Communication

  • RFID, Door sensor, Bar code, QR code, heat sensor, camera sensor, proximity sensor, bluetooth, etc.

  • Introduction to Arduino Programming

  • Integration of Sensors and Actuators with Arduino

  • Introduction to Python programming

  • Introduction to Raspberry Pi

  • Implementation of IOT with Raspberry Pi

  • Cloud Computing

  • Sensor Cloud

  • SOA architecture and messaging

  • Offline synchronization

  • GSM communication

  • Introduction to connected Vehicles

  • Smart Grid

  • Industrial IOT - Case Study: Agriculture, Healthcare, Activity Monitoring.

  • Live Project Implementation 

Grab the opportunities.

All the Best!

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