Building Complete IoT Solution with ESP32 and AWS

Building Complete IoT Solution with ESP32 and AWS

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.

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

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What you will learn

• Develop complete IoT solution
• Build ESP32-based electronic sensors
• Register and build Amazon Web Service (AWS)

Rating: 4.5

Level: Beginner Level

Duration: 4.5 hours

Instructor: Veebar Tech