RCIE® Certification

Lecturer
admin
Category

Course Description

The Internet of Things (IoT) is a widespread network that connects everyday objects to the Internet, enabling them to interact with each other and exchange data. Simply put, the IoT is a concept that allows any device that can be switched on and off to be connected to the Internet.

A Rocheston Certified IoT Engineer will be trained in the various disciplines required to navigate the challenges of the Internet of Things evolution. The course provides an understanding and an insight into developments in networking, data management and analytics, communication devices, embedded systems, and user interface design.

Target Audience

This course is expected to be at the forefront of the next technological revolution. At present, it finds application in the fields of transportation, design, education, and healthcare. The sectors where knowledge of the IoT is being sought include Product Management, Robotics, Hardware Engineering, Business Intelligence, Networking, Industrial Programming, Software Development, User Interface and Experience Design (UI/UX), and more.

In addition to the importance of IoT in conventional careers such as business management, engineering software development, and mobile application design, it also gives rise to several new career paths, increasing demand for IoT trained professionals.

Eligibility

Objectives
Tapping into the potential of IoT and all the possibilities that it brings to businesses requires a well-rounded knowledge base and insights into the new technologies and systems emerging today. Understanding how machines and devices are built with embedded sensors and intuitive and interactive user interfaces enables professionals and businesses to take advantage of the opportunities created by the Internet of Things. A Rocheston Certified IoT Engineer will be trained in the various disciplines required to navigate the challenges of the Internet of Things revolution. The Rocheston Certified IoTEngineer course is made up of a comprehensive set of modules that provide both an understanding and insight into developments in networking, data management and analytics, communication devices, embedded systems, and user interface design. 
Content
Module 1: IoT concepts
Module 2: Infrastructure for IoT
Module 3: IoT Network Architecture and Design
Module 4: IoT Business Models
Module 5: Entrepreneurship Opportunities in IoT
Module 6: IoT Standards
Module 7: IoT Platforms
Module 8: IoT Development Boards
Module 9: IoT Circuits and Wiring
Module 10: IoT Sensors, Actuators and Smart Objects
Module 11: Interconnecting Smart Objects
Module 12: IoT Programming Languages
Module 13: IoT Network Layers
Module 14: Building Prototypes using 3D Printers
Module 15: IoT Cloud Data Storage
Module 16: Deep Learning
Module 17: Big Data Analytics
Module 18: Industry 4.0
Module 19: Smart Cities
Module 20: IoT Case Studies
Module 21: IoT Security
Module 22: Integration of IoT with Home Automation Products
Lab Modules
Module 0: Accessing USB through an Azure virtual machine
Module 1: Blinking an LED
Module 2: Reading a Potentiometer
Module 3: Driving an RGB LED
Module 4: Driving Multiple LEDs
Module 5: Push Buttons
Module 6: Reading a Photoresistor
Module 7: Reading an SPDT Switch
Module 8: Using an I2C Backlight LCD
Module 9: Reading a Temperature Sensor
Module 10: Driving a Servo Motor
Module 11: Driving a DC Motor
Module 12: Using a DC Motor driver with inputs
Module 13: Using a Piezo Buzzer
Module 14: Sound Detector
Module 15: Shift Register
Module 16: Real Time Clock Module
Module 17: 8×8 LED matrix
Module 18: Control servo motors by using joystick
Module 19: Tilt Sensor
Module 20: Water Sensor
Module 21: Driving Stepper Motor by using Stepper Motor Driver
Module 22: Relay
Module 23: Using RFID
Module 24: Motion sensor(PIR) with buzzer
Module 25: Temperature and Humidity Sensor
Certification
    • A 5-day Training Program
    • The Provision of an Active Web Portal
    • Seminars Conducted by Qualified Engineers
    • Best in-class environment
    • Exam can be taken on Rocheston
    • Cyberclass or Pearson VUE testing platform.
Methodology
    • Online Lectures-via MS teams /
    • Online Demonstrations using VMs /
    • Assignments
    • Students need to have their own PC/Laptop with below minimum Configurations,
      → CPU-core i3 or higher
      → RAM-8GB or higher
      → HDD-100GB Free Space(better if you are having SSD)
      → Headset with Microphone
      → Good Internet Connectivity