Introduction to AWS IoT

Name: Introduction to AWS IoT
Rating: 4.4 (245 reviews)

Learn to develop IoT Projects using Amazon Web Services

Created byVenkatesh Varadachari, Sahithi Venna

Last updated 9/2020

English

What you'll learn

Amazon Web Services (AWS)
Internet of Things
Sparkfun ESP32 Thing
Raspberry Pi

Course content

5 sections • 27 lectures • 3h 12m total length

Introduction to the course5:31
Introducing AWS IoT10:20
Explore a five-block IoT framework—things, connect, collect, learn, and do—using AWS IoT for secure bi-directional communication, MQTT/HTTP, thing registry, and thing shadow.
Exploring AWS IoT14:19
Discover AWS IoT Core and its key services, including FreeRTOS, IoT 1-Click, analytics, Device Defender, Device Management, and Greengrass, with a practical walkthrough of setting up an account.
Creating a budget and billing alert6:38
Learn to manage AWS costs by creating a budget, configuring alerts, and using cost explorer, reports, and billing preferences to monitor and control spending.
The Road Ahead5:14
Connect a Raspberry Pi and ESP32 to AWS IoT Core via MQTT, securely with mutual authentication and encryption, and build projects that send sensor data and visualize with AWS services.
Quiz-1

Registering a Thing6:57
Register a thing in AWS IoT Core, create and attach a policy, and secure device communication with certificates and a Root CA for your Raspberry Pi or ESP32.
Creating and Attaching Policies5:11
Create and attach an AWS IoT policy to a device certificate to authorize operations such as connect, subscribe, and publish. Get started with hardware using a Raspberry Pi.
Answers to the Frequently Asked Questions in the Q&A Section3:54
Connecting Raspberry Pi to AWS IoT12:10
Connect a Raspberry Pi to AWS IoT and publish distance data from an HC-SR04 ultrasonic sensor using the AWS IoT Python SDK and MQTT, with hardware setup and cloud testing.
Connecting the ESP32 Thing to AWS IoT - The first steps7:27
Register the ESP32 thing in AWS IoT, create and attach a policy, and wire the DHT11 sensor to GPIO4. Install ESP32 core and needed libraries to enable AWS IoT communication.
Root CA File Update for AWS Platform0:22
Connecting ESP32 to AWS IoT Core11:34
Connect an ESP32 to AWS IoT Core by downloading the Arduino SDK and NTP client, attaching certificates, programming with a DHT11 sensor, and testing.
Quiz-2

Introduction to Amazon SNS7:58
Learn how to use Amazon SNS to publish temperature alerts from a DHT11 sensor by creating an SNS topic, adding email and SMS subscriptions, and testing notifications.
Sending sensor data as Notification7:25
Learn to create an AWS IoT rule that uses an SQL select statement and a topic filter to trigger an SNS notification when sensor temperature exceeds 25 degrees.
Introducing Amazon SQS4:47
Learning CloudWatch Events7:20
Learn how CloudWatch events create rules that route changes to targets such as SQS, Lambda, SNS, or Kinesis. Schedule automated actions with cron expressions and test event delivery.
Scheduling a trigger11:51
Learn to schedule a trigger that uses CloudWatch events to poll SQS with a Raspberry Pi, turn on an LED via pin 11, and automate via cron and boto3.
Quiz-3

Introduction to Amazon S35:16
Explore Amazon S3, Kinesis Firehose, Athena, and Amazon QuickSight to visualize sensor data from IoT Core. Learn bucket and object basics, versioning, and why S3 is cost effective.
Getting Started with Amazon Kinesis6:26
Explore how Amazon Kinesis enables real-time data collection and analysis, covering Kinesis data stream, Kinesis data firehose, Kinesis data analytics, and video stream, with Firehose to S3 and Parquet format.
Creating Delivery Stream with Kinesis Firehose14:34
Create a Kinesis Firehose delivery stream from AWS IoT data, set up an IoT rule, convert JSON to Parquet with AWS Glue, and store in S3 using a Glue table.
Learning Athena and Getting Started with Amazon QUICKSIGHT10:24
Learn to query data in S3 with Amazon Athena using standard SQL, then visualize it in Amazon QuickSight with SPICE, creating an account and managing permissions.
Visualizing the sensor data using Amazon QUICKSIGHT3:40
Import sensor data into SPICE via Athena and visualize temperature and humidity over time in Amazon QuickSight for AWS IoT.
Conclusion1:55
Quiz-4
Assignment-1

Requirements

Basic electronics knowledge
Familiarity with Raspberry Pi, Arduino IDE

Description

September 2020 Update

Root CA File Update for the AWS Platform
Answers to the Frequently Asked Questions in the Q&A Section

Hello learners, Welcome to MAKERDEMY’s "Introduction to AWS IoT" course. If you are looking for that one course that will help you gain the confidence to learn AWS IoT, you have come to the right place.

With numerous custom made illustrations and animations, we have set the standard in terms of production quality. All so that you can have a terrific learning experience.

This course is meant for anyone who wants to build real-world IoT applications using Amazon Web Services.

If you are an engineer who wants to start working with one of the most popular cloud-based IoT platforms or a hobbyist looking to enter the world of the Internet of Things, you will find this course very useful. This is because we have tailored this course by giving equal importance to both the projects as well as the concepts.

So come join me in this introductory course on AWS IoT. I am looking forward to being your instructor and hearing about all the wonderful projects you were able to make with the Amazon Web Services.

Who this course is for:

Engineer who wants to start working with one of the most popular cloud-based IoT platforms
Hobbyist looking to enter the world of the Internet of Things
Student who wants to build projects in IoT using Amazon Web Services
Anyone with basic programming experience and an interest to learn

Introduction to AWS IoT

What you'll learn

Explore related topics

Course content

Getting Started with AWS IoT Core5 lectures • 42min

Connecting Things to AWS IoT Core7 lectures • 48min

Sending Notifications and Scheduling Events5 lectures • 39min

Triggering Raspberry Pi with AWS Cloud and ESP324 lectures • 21min

Visualization using Amazon QUICKSIGHT6 lectures • 42min

Requirements

Description

Who this course is for: