Free Download Hands-On Azure IoT
Published 9/2024
Created by Stephen Borsay
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 40 Lectures ( 3h 5m ) | Size: 1.23 GB
IoT Device to Azure Cloud Integration using both virtual and physical IoT devices
What you'll learn:
Program the ESP32 or Raspberry Pi 3 to send IoT data to the Azure Cloud
Connect to Azure IoT hub and use relevant Azure services
Learn the basics of MQTT, IoT, device programming, and the Azure cloud
Become familiar with device to cloud integration and communication
Use Arduino, MicroPython, C, and JavaScript for IoT device to cloud integration
Learn IoT Centric design flows on Azure
Create Websites on inexpensive Azure blob storage
Use CosmosDB for IoT Data with Azure Functions
Use Azure Functions to query CosmosDB
Use Chart JS to graph your IoT Data on a website in Blob Storage on Azure
Requirements:
Desire to understand device to cloud integration and communication
Signed up for an Azure free tier account
Comfortable using a Windows based PC or translate PC commands to Mac or Linux
Knowing how to blink "Hello World" on the Arduino IDE
Ability to install the Thonny MicroPython IDE
Description:
In this course we will use both virtual and physical devices to connect and transmit IoT data to Microsoft Azure. Students should either have an ESP32 or Raspberry Pi IoT device, but if not, they can use the free virtual IoT devices that will be explained in this course. Learners can sign up for a free tier Azure account or use their regular accounts if they are already Azure users. In this course we will program these IoT devices in various languages to suit the student's preferences. We will cover the programming languages of Arduino, MicroPython and C programming for the ESP32. For the Raspberry Pi we will program the devices in both Python and Node.js using the Azure device SDKs to transmit IoT data to the Azure cloud using our custom IoT Data Producer programs.Once our IoT data is transmitted to the Azure cloud we can then cover some basic IoT-Centric design flows on the cloud. First, we will store our IoT data in ultra cheap Azure Blob storage and then graph that data with a custom designed static website, also held in blob storage. Our IoT data will utilize JavaScript to chart the data. Finally, we will create a second IoT-centric custom design on the Azure cloud which will store our IoT data in a Cosmos database and then use a custom designed website with a call to our custom designed Azure Function to query and fetch data from our Cosmos Database. Once the data is retrieved from the database, we will then chart our IoT variables to our own static website held in blob storage.By the end of the course the students should have a much better understanding on how to program embedded devices to talk to the Azure cloud as well as gain an understanding of typical IoT-Centric workflows on the Azure Cloud.
Who this course is for:
Electronic Hobbyists wanting to acquire more IoT skills on the cloud
Engineers interested in the Internet of Things (IoT) on Azure
Web or Cloud Programmers interested in Embedded Devices and IoT on Azure
Those interested in using IoT interested in learning Azure Cloud
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