Cloudruha's IoT Certification Course is tailored by industry experts. You will be working on Raspberry Pi, Sense HAT and will gain hands-on experience with Azure IoT Hub and Alexa Voice. It will also cover in- depth concepts such as IoT Framework, IoT Ecosystem, IoT Solution architecture, Networking Protocols and Application Layer protocols. This course will have real life demo and case studies which will help you master the IoT technology.

Introduction to Internet of Things

Topics:

• What is IoT, how does it work

• Difference between Embedded device and IoT device

• Properties of IoT device

• IoT Ecosystem

• IoT Decision Framework

• IoT Solution Architecture Models

• How IoT is Transforming Businesses

• Major IoT Boards in Market

• Explore Raspberry Pi

Setting up Raspberry Pi and Sensors (Sense HAT Board)

Topics:

• Setting up Raspberry Pi

• Showing working of Raspberry Pi using SSH Client and Team Viewer

• Understand Sensing actions

• Understand Actuators and MEMS

Creating Solutions with Raspberry Pi and Sense HAT Board

Topics:

• Build weather station using Sense HAT and Python

• Prepare google spreadsheet for weather data collection

• Understand OpenCV

IoT Communication Protocols

Topics:

• Types of wireless communication

• Major wireless Short-range communication devices, properties, comparison of these devices (Bluetooth, WIFI, ZigBee, 6LoWPAN)

• Major wireless Long-range communication devices, properties, comparison of these devices (Cellular IoT, LPWAN)

IoT with Microsoft Azure

Topics:

• What is Cloud and its Infrastructure

• How IoT and Cloud deployment can create an effective IoT Solution

• Azure IoT Hub components

Implementing IoT with Azure

Topics:

• Register your Raspberry Pi on Azure IoT Hub

• Send and Receive messages from Raspberry Pi over Azure IoT Hub

• Create Storage account and dock a container

• View Data On-premise with Azure Storage Explorer

• Configure Web App settings for Data Visualization

Remote Monitoring

Topics:

• Plan how to customize a solution to meet specific requirements

• Create a service bus namespace and add a queue to it

• Add an endpoint and a routing rule to your IoT hub

• Create, configure, and test a logic app

Edge Computing and Analytics

Topics:

• Data Analytics

• Edge Computing

• Azure IoT Edge

• Azure IoT Edge Components

• Azure IoT Edge Architecture

• Real-Time Analytics

Project