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Building Complete IoT Solution with ESP32 and AWS

Name: Building Complete IoT Solution with ESP32 and AWS
Rating: 4.2 (71 reviews)

Build an IoT prototype from 0 to 100 (using ESP32 for IoT sensors, Raspberry Pi as the Hub, and AWS for cloud computing)

Created byVeebar Tech

Last updated 2/2022

English

English [Auto],

What you'll learn

Develop complete IoT solution
Build ESP32-based electronic sensors
Register and build Amazon Web Service (AWS)
Develop Arduino IDE programs
Setup a Raspberry Pi with Raspbian OS
Introduction to python programming in Raspberry Pi
Understand wireless communications WIFI and MQTT
Implement AWS-IoT solution such as IoT Core, IoT Analytics, and Quick Sight
Prototype IoT solutions as Entrepreneurs as fast as possible

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

Course content

5 sections • 25 lectures • 4h 32m total length

Welcome to the Course0:24
Explore how to build a complete IoT solution with ESP32 and AWS, focusing on smart home monitoring and alerting for seniors with hearing loss and dementia.
What is IoT Technology3:17
Learn what IoT is and how devices connect and act wirelessly. See how ESP32 sensors, cloud processing, and data use enable monitoring, automation, and cost savings.
How to Download and Work With Arduino IDE16:07
Download, install, and navigate the Arduino IDE to write, verify, and upload code to ESP32 boards, and manage libraries, tools, and the correct port for reliable development.

Setting Up Arduino IDE for ESP3215:43
Set up the Arduino IDE for ESB 32 development by adding the board manager URL, installing ESB 32 boards, and selecting the Dev Kit and port.
Workshop 1: Hello World with ESP3217:12
Learn to write a hello world program for the ESP32 in the Arduino IDE, configure serial monitor at a chosen baud rate, upload, and observe delayed output in the loop.
Workshop 2: LED Blink with ESP3214:08
Learn to blink an led with the ESP32 by wiring an led and a resistor on a breadboard, configuring pin 18 as an output, and programming the blink pattern.
Workshop 3: Temperature and Humidity Sensor with ESP3223:02
Learn to read humidity and temperature from a DHT11 with ESP32 using Arduino IDE. Install DHT library, connect pin 18 to 3.3v and ground, and view results on serial monitor.
PIR Sensor with ESP32
More Coding Examples0:07

Wireless Communication and Protocols5:03
Explore wireless communication protocols for IoT using ESP32 and NQT protocol over Wi-Fi, transferring sensor data to a Raspberry Pi gateway, and comparing power, reliability, security, range, and costs.
WiFi and OSI3:39
Analyze how the OSI seven-layer model guides wifi data exchange from the application to the physical layer, detailing payload wrapping, tcp/udp transport, data link addressing, and end-to-end reassembly with NQT.
Message Query Telemetry Transoprt MQTT9:38
Explore the NQT protocol, a lightweight publish/subscribe system with broker, topics, and quality of service; learn how a Raspberry Pi with mosquito acts as broker.

What is Raspberry Pi2:34
Explore Raspberry Pi as a cheap, powerful single-board computer for IoT, used as an MQTT broker and subscriber in this course.
How to setup Raspberry Pi7:39
learn to set up a Raspberry Pi by installing an operating system on a micro SD card with the Raspberry Pi imager, then boot with power and an HDMI monitor.
Configuring Raspbian OS14:18
Configure the Raspberry Pi by setting country and language, securing it with a password, adjusting the screen, connecting to wifi, and installing remote access, Python, and Spyder to handle data.
Workshop 4: MQTT Communication Between ESP32 and Raspberry Pi50:13
Learn mqtt data transfer between esp32 and raspberry pi by integrating online examples to publish temperature and humidity from a dht sensor via a broker using publisher and subscriber topics.

Introduction to Cloud Computing8:50
Explore cloud computing with Amazon Web Services, covering IaaS, PaaS, and SaaS, and see how public, private, and hybrid models enable IoT solutions.
Introduction to AWS2:51
Explore AWS as our cloud computing solution for this course, highlighting its market leadership and services like EC2, VPC, S3, RDS, and elastic load balancing.
AWS IoT Solutions3:24
Connect Raspberry Pi sensors to the AWS cloud using IoT Core, then analyze data with IoT Analytics to visualize results and set alerts.
AWS Solutions Used In This Course3:16
Learn how AWS IoT Core connects billions of Raspberry Pi sensors to a cloud, enabling IoT analytics and QuickSight dashboards to visualize data and detect patterns.
AWS IoT Core12:15
Learn how AWS IoT Core connects billions of devices using publish-subscribe, and manage device identity, state, security certificates, and policies, with Raspberry Pi workflows and cloud analytics.
Workshop 5: AWS Registration5:22
Learn AWS registration by completing the sign-up steps, activating a 12-month free tier, and setting up billing and identity verification to access the IoT solution management console.
Workshop 6: Setting Up AWS IoT Core8:35
Set up a Raspberry Pi to connect with AWS IoT Core, download the SDK, configure certificates, and run a Python script that sends a Hello World JSON message.
Workshop 7: Testing AWAS MQTT1:39
Test AWS IoT MQTT communication by using the NQT test client, subscribing to the SDK/tests/python topic, and observing Hello World messages with timestamps to verify cloud delivery.
Workshop 8: AWS IoT Analytics and QuickSight14:47
Learn to connect an ESP32 device to AWS IoT Analytics and QuickSight, using simulated temperature data, rules, and dashboards for visualization.
Workshop 9: ESP32 to AWS28:21
Learn to connect ESP32 to AWS by streaming temperature and humidity data from a Raspberry Pi hub through topics like home living room temperature and humidity.

Requirements

Familiarity with programming languages (Arduino IDE programming and Python) would be helpful, however, most of the presented work is going to be an integration of existing codes, so individuals with no prior knowledge will still benefit from the course

Description

This is an introductory course that covers the development of an IoT solution using ESP32, Raspberry Pi and AWS.

Throughout the course, you will be introduced to:

- Developing IoT sensors using ESP32 and Arduino IDE.

You will learn about IoT sensor implementation (both hardware and software). In particular, you will see the use of a Temperature/Humidity Sensor, an Ultrasonic sensor and a PIR Motion sensor as examples for the development of IoT Sensor. All the mentioned sensors will be integrated with a microcontroller known as ESP32 which is capable to establish Wi-Fi and Bluetooth communications.

- Developing an IoT gateway (Hub) using Raspberry Pi and Python in Raspbian Operating System.

You will learn about Raspberry Pi. You will learn how to set up a Linux-based operating system known as Raspbian for Raspberry Pi. You will also learn how to configure the Raspberry Pi and install a python IDE.

You will use the ESP32 in Arduino IDE to send sensor data, and python in Raspberry Pi to receive the sensor data, through a WIFI based communication known as MQTT

- Developing cloud computing using AWS IoT Core, AWS IoT Analytics and AWS Quick Sight

You will learn about cloud computing, in particular Amazon Web Service (AWS).

You will learn how to set up an AWS account and use the solutions within the service.

In particular, you will learn about AWS IoT solutions which is a basket of services defined by AWS for IoT solutions.

You will learn to set up AWS IoT Core, AWS IoT Analytics and AWS Quick sight, and to connect them together to receive the sensor data from the gateway (Raspberry Pi) and display it in a dashboard.

Who this course is for:

Beginner IoT developers who are curious to learn about ESP32, MQTT, AWS, Raspberry Pi to architect an IoT solution
Companies who want to adopt IoT solutions to their existing services
Electrical and Electronic Engineers/Students
IoT Hobbyists
Arduino developers interested in building IoT solutions
Entrepreneurs building IoT check companies

Building Complete IoT Solution with ESP32 and AWS

What you'll learn

Explore related topics

Coding Exercises

Course content

Introduction to Arduino IDE3 lectures • 20min

Introduction to ESP325 lectures • 1hr 10min

Wireless Communication Through MQTT with ESP323 lectures • 18min

Introduction to Raspberry Pi4 lectures • 1hr 15min

Introduction to Amazon Web Service (AWS)10 lectures • 1hr 29min

Requirements

Description

Who this course is for: