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30-Day Money-Back Guarantee

This course includes:

  • 7.5 hours on-demand video
  • 17 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
IT & Software Hardware Amazon AWS

Exploring AWS IoT

Device to AWS Cloud integration: Programming Embedded Devices and managing data in AWS IoT
Rating: 4.6 out of 54.6 (1,580 ratings)
9,250 students
Created by Stephen Borsay
Last updated 12/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Program the ESP8266, ESP32, or Raspberry Pi 3 to send data to AWS IoT Core
  • Connect to AWS free Tier and use relevant AWS services
  • Understand MQTT, JSON, IoT, and the AWS cloud
  • Become familair with device to cloud communication
  • Place IoT data into Dynamo DB by creating a table and data fields
  • Gain competency designing graphs and using analytics on IoT data
  • Code with basic programming structures in JavaScript, Python, and C
  • Use Node-Red to connect devices to AWS IoT
  • Get experience with many AWS services vital to IoT like DynamoDB and S3
  • Learn to Create Security certificates and policy's in AWS IoT
Curated for the Udemy for Business collection

Requirements

  • Comfortable using a PC, Mac, or a Linux computer
  • Some knowledge of the Internet of Things ( IoT)
  • Desire to understand device to cloud communication
  • Experience with a basic IDE like Arduino
  • Amazon AWS familiarity is helpful

Description

This course explores the various features of device to cloud communication using Amazon AWS IoT Core on a AWS  free tier account.  


Before the course starts we need an AWS free tier account, a local installation of the AWS CLI tool, and installation of the MQTT.fx testing tool (all free).  After this is set up we will program inexpensive, WiFi enabled embedded devices such as the ESP8266, ESP32, and Raspberry Pi to communicate with AWS IoT Core with MQTT. 
 

We will take advantage of free "Internet of Things" (IoT)  development environments, like Mongoose OS in JavaScript, Arduino in C, Zernyth in Python, AWS FreeRTOS in C,  and the AWS IoT SDK in both JavaScript and Python for the Raspberry Pi to program our inexpensive WiFi devices.
 

You will need at least one or more of the following devices to transmit data to AWS IoT.  Alternately, you can send JSON test payloads from IoT Core directly, imitating a IoT device.  The course continues on with programming our embedded devices to send data from the device to the AWS cloud.  To transmit our data we will use the built in MQTT broker on our devices firmware, sending JSON encoded sensor data, to the AWS IoT console.
 

Device                                     Development Environment                Programming Language

ESP8266 12-E                           Mongoose OS, Arduino/Node-RED       JavaScript, Arduino

ESP32                                       Arduino, Zerynth, FreeRTOS                   JavaScript, Python, Arduino, C

Raspberry Pi 3 Model B           AWS IoT SDK                                          JavaScript, Python


From within the IoT console we will create AWS IoT “Rules” and “Actions” to explore many of the built in AWS IoT enabled services that are integrated in the AWS IoT Core console on the AWS cloud. Creating rules-based actions to AWS services we will send, store, file, manipulate, graph and analyze our sensor data through a variety of important AWS applications.   Some of these integrated applications, using these rule-based actions, are Dynamo Database, S3, SNS, Lambda, Data Pipeline, Glue,  QuickSight, AWS IoT Analytics, and SageMaker.


IoT is largely the fusion of devices and the web, specifically the cloud; all sending and recording data, ubiquitously and continually, everywhere. Understanding and being able to  prototype and implement an end-to-end, device to cloud path communication is a much in demand career skill. 


Having the skills to build a prototyping IoT solution in the cloud is already an important and highly demanded skill set for those wanting to call themselves IoT developers, and this is more true as time goes on and IoT exponentially expands as cheap connected devices become wide-spread. 
 

Remember! 30 days money-back guarantee with no questions asked. I want you to be happy with the value I believe this course provides. 

Who this course is for:

  • Engineers interested in the Internet of Things (IoT)
  • Electronic Hobbyists wanting to acquire more IoT skills
  • Web or Cloud Programmers interested in Embedded Devices
  • Embedded device Programmers interested in learning AWS Cloud

Featured review

Arvind Kumar
Arvind Kumar
12 courses
2 reviews
Rating: 5.0 out of 55 months ago
I'm looking for creating one docker image on EC2 cloud which will receive MQTT data from raspberri pi. I wanted to understand, how to host image on cloud and interface it to AWS IOT core or other interfaces like Sagemaker.

Course content

20 sections • 66 lectures • 7h 18m total length

  • Preview08:03
  • Preview07:12
  • Preview07:06
  • Preview02:13
  • Quiz on AWS and IoT
    5 questions

  • Preview05:16
  • Preview05:42
  • Introducing IAM for IoT policys and Roles
    04:27
  • Creating Security Credentials and composing an IoT policy from AWS IoT Core
    05:25
  • Communication protocols and security for devices on AWS
    07:04
  • Sending JSON test payloads from the AWS CLI and the IoT Core console
    03:27
  • Using the MQTT.fx tool to test our connection and send data to AWS IoT Core
    08:12
  • AWS Setup quiz
    1 question
  • AWS Device connect quiz
    1 question

  • Intro to using Node-Red with Arduino and AWS IoT
    02:48
  • Creating an IBM Cloudant account and Node-Red App
    08:09
  • Configuring our Node-Red application
    13:52
  • interfacing our Arduino Sketch with Node-Red
    09:22
  • Arduino and Node-Red Quiz
    5 questions

  • Preview03:43
  • Reviewing the init.js demo code for our device
    16:02
  • Programming our own init.js firmware with Mongoose OS in Javascript
    09:26
  • Quiz on Mongoose OS
    2 questions

  • Arduino Sketch to connect your ESP8266/ESP32 directly to AWS IoT Core
    10:05
  • Modified ESP8266/ESP32 Arduino Sketch to deliver JSON payload to AWS IoT Core
    06:16
  • Quiz on the Sketchs and the ESP devices
    3 questions

  • Preview02:25
  • Configuring Zerynth to AWS IoT
    07:36
  • Running the Test program
    05:49
  • Customizing the test program
    05:05
  • Quiz on Zerynth for AWS IoT
    2 questions

  • Provisioning AWS IoT to receive our JSON sensor data from our RaspberryPi-3
    08:46
  • Setting up our RaspberryPi3 with the AWS SDK in Python, and the AWS CLI tool.
    10:54
  • Modifying the basicPubSub.py program to send our data to AWS IoT with our Rpi3.
    12:57

  • Programming the RPi
    10:28

  • Set up a text notification for our sensor data
    07:30
  • Set up an email notification for our sensor data
    05:13
  • Using conditional data testing for notifications
    02:30

  • Saving a data object driectly to S3
    05:58
  • Exporting data to CSV or JSON
    02:13

Instructor

Stephen Borsay
IoT Engineer: Device to Cloud Integration
Stephen Borsay
  • 4.5 Instructor Rating
  • 2,289 Reviews
  • 20,445 Students
  • 5 Courses

Steve Borsay is a Degreed Computer Engineer and electronic hobbyist with an interest in making embedded systems understandable and enjoyable to enthusiasts of all experience and knowledge levels. Recognized AWS IoT Heroes.  Technical training and product instruction available for IoT,  Embedded Systems, and Device to Cloud integration. I will try to answer all questions in timely manner.

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