Building Complete IoT Solution with ESP32 and AWS from Udemy

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.

What's inside

Learning objectives

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

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

Syllabus

Learn about IoT Technology and Arduino IDE

Welcome to the Course

What is IoT Technology

How to Download and Work With Arduino IDE

Learn about ESP32 microcontroller, and learn how to code for ESP32 in Arduino IDE

Setting Up Arduino IDE for ESP32

Workshop 1: Hello World with ESP32

Workshop 2: LED Blink with ESP32

Workshop 3: Temperature and Humidity Sensor with ESP32

PIR Sensor with ESP32

More Coding Examples

Learn about Wireless communications, OSI, WiFi and MQTT

Wireless Communication and Protocols

WiFi and OSI

Message Query Telemetry Transoprt MQTT

Learn about Raspberry Pi, Raspbian Operating System, Linux coding, and how to setup Raspberry pi to act as gateway for your IoT solution

What is Raspberry Pi

How to setup Raspberry Pi

Configuring Raspbian OS

Workshop 4: MQTT Communication Between ESP32 and Raspberry Pi

Learn about cloud computing, AWS, AWS account registration, and AWS IoT Core

Introduction to Cloud Computing

Introduction to AWS

AWS IoT Solutions

AWS Solutions Used In This Course

AWS IoT Core

Workshop 5: AWS Registration

Workshop 6: Setting Up AWS IoT Core

Workshop 7: Testing AWAS MQTT

Workshop 8: AWS IoT Analytics and QuickSight

Workshop 9: ESP32 to AWS

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers AWS IoT Core, IoT Analytics, and QuickSight, which are essential tools for building a complete IoT solution in the cloud and visualizing data

Integrates ESP32, Raspberry Pi, and AWS, providing a comprehensive overview of IoT development from sensor to cloud, which is valuable for full-stack IoT projects

Explores wireless communication protocols like WiFi and MQTT, which are fundamental for IoT device connectivity and data transmission, and are widely used in the field

Uses Arduino IDE for ESP32 development, which simplifies the coding process and makes it accessible for beginners to create IoT sensor applications, and is well-documented

Requires setting up a Raspberry Pi with Raspbian OS and using Python, which may present a learning curve for individuals unfamiliar with Linux-based systems and command-line interfaces

Requires learners to register for an AWS account, which may involve providing payment information and incurring costs if usage exceeds the free tier limits, which may be a barrier

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Building Complete IoT Solution with ESP32 and AWS with these activities:

Review Basic Electronics Concepts

Show steps

Reinforce your understanding of fundamental electronics concepts. This will provide a solid foundation for working with ESP32 and sensor circuits.

Browse courses on Ohm's Law

Show steps

Review online resources or textbooks on basic electronics.
Solve practice problems related to Ohm's Law and circuit analysis.

Brush Up on Python Programming

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Strengthen your Python skills before working with Raspberry Pi. This will help you develop the IoT gateway and interact with AWS.

Browse courses on Python Syntax

Show steps

Complete a Python tutorial or online course.
Practice writing Python scripts to manipulate data and interact with APIs.

Follow ESP32 Sensor Tutorials

Show steps

Deepen your understanding of ESP32 sensor integration. This will provide hands-on experience with hardware and software development.

Show steps

Find tutorials on interfacing ESP32 with various sensors (e.g., temperature, humidity, ultrasonic).
Follow the tutorials step-by-step, paying attention to the code and circuit diagrams.
Modify the code and circuit to experiment with different configurations.

Four other activities

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Show all seven activities

MQTT Communication Exercises

Show steps

Reinforce your understanding of MQTT protocol. This will help you build robust communication between ESP32, Raspberry Pi, and AWS.

Show steps

Set up an MQTT broker (e.g., Mosquitto) on your local machine.
Write code to publish and subscribe to MQTT topics using ESP32 and Raspberry Pi.
Experiment with different QoS levels and message payloads.

Review 'Designing the Internet of Things'

Show steps

Gain a broader perspective on IoT design principles. This will help you make informed decisions when building your own IoT solutions.

View Designing the Internet of Things on Amazon

Show steps

Read selected chapters focusing on IoT architecture and design patterns.
Take notes on key concepts and examples.

Build a Mini Weather Station

Show steps

Apply your knowledge to a practical IoT project. This will solidify your understanding of the entire IoT solution development process.

Show steps

Connect a temperature and humidity sensor to an ESP32.
Send sensor data to Raspberry Pi via MQTT.
Forward the data to AWS IoT Core.
Visualize the data using AWS IoT Analytics and QuickSight.

Review 'AWS Certified IoT-Specialty Official Study Guide'

Show steps

Deepen your understanding of AWS IoT services and best practices. This will help you build more robust and scalable IoT solutions on AWS.

View Putting Knowledge to Work on Amazon

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Read chapters related to AWS IoT Core, AWS IoT Analytics, and QuickSight.
Complete the practice questions and review the answers.

Career center

Learners who complete Building Complete IoT Solution with ESP32 and AWS will develop knowledge and skills that may be useful to these careers:

Internet of Things Engineer

An Internet of Things Engineer designs, develops, and implements IoT solutions. This course helps build a foundation in creating and deploying IoT systems using ESP32 microcontrollers for sensors, Raspberry Pi for gateways, and AWS for cloud services. The course provides hands-on experience with sensor implementation, wireless communication protocols like MQTT, and cloud platforms. An Internet of Things Engineer will use these skills to connect devices to the internet, collect data, and make it actionable. This course is useful because it teaches the full technological stack of an IoT project, from sensor to cloud.

See salaries and explore the career path for Internet of Things Engineer

Embedded Systems Engineer

An Embedded Systems Engineer focuses on the hardware and software of embedded systems, such as those found in IoT devices. This course helps an Embedded Systems Engineer learn about microcontroller programming with ESP32 using Arduino IDE. You will work with sensors like temperature, humidity, ultrasonic, and PIR motion sensors. The course helps you understand wireless communication through WiFi and MQTT, and connects devices to cloud services. This complete solution, from embedded system to cloud, is an important skill. This course also helps learn about Raspberry Pi. An Embedded Systems Engineer needs to understand this hardware.

See salaries and explore the career path for Embedded Systems Engineer

Hardware Engineer

A Hardware Engineer designs and develops physical components of technology products. This course helps an aspiring Hardware Engineer to learn about the hardware and software of the ESP32 microcontroller, which is a core component of many IoT devices. The course covers sensor implementations, and sensor data processing with Arduino IDE, including wireless communication using WiFi and MQTT. It also touches on using Raspberry Pi as an IoT gateway, which is another common IoT hardware component. This course will serve as a helpful introduction to IoT hardware systems, giving a broad overview.

See salaries and explore the career path for Hardware Engineer

Research and Development Engineer

A Research and Development Engineer designs and develops new technologies. This course helps with the practical implementation of IoT concepts. The course goes through IoT sensor development using ESP32 and Arduino IDE, as well as the development of an IoT gateway using Raspberry Pi and Python. The course includes working with wireless communication protocols such as MQTT, and deploying to the cloud using AWS solutions, especially AWS IoT core, IoT Analytics, and Quick Sight. This hands-on approach to prototyping could be very useful for a Research and Development Engineer.

See salaries and explore the career path for Research and Development Engineer

Systems Integrator

A Systems Integrator combines various hardware and software components to create a functioning system. This course introduces sensor development via ESP32 and Arduino IDE, and also covers setting up a Raspberry Pi as an IoT gateway. You will learn to use wireless communications such as WiFi and MQTT to transmit data and connect this data to AWS cloud services. This course may be helpful as it covers the full process, from sensor to cloud, which is beneficial to a Systems Integrator.

See salaries and explore the career path for Systems Integrator

Sensor Applications Engineer

A Sensor Applications Engineer focuses on designing, testing, and implementing sensor-based systems. This course may be useful, as you will develop IoT sensors using ESP32 and Arduino IDE, and learn about various sensor implementations such as Temperature/Humidity, Ultrasonic, and PIR Motion sensors. You'll integrate these sensors with ESP32 microcontrollers, which are capable of Wi-Fi and Bluetooth communications. The course helps understand how to transmit sensor data using MQTT via WiFi. This course may lead to a deeper understanding of common sensor types and their integration into a larger system.

See salaries and explore the career path for Sensor Applications Engineer

Cloud Solutions Architect

A Cloud Solutions Architect designs, develops and implements cloud computing solutions. Those who pursue such a role may benefit from this introductory course that covers the development of an IoT solution using ESP32, Raspberry Pi and AWS. This course will help you learn about cloud computing, in particular Amazon Web Service. You will learn about AWS IoT solutions such as AWS IoT Core, AWS IoT Analytics and AWS Quick Sight. You will use these skills to connect data from a gateway to cloud, and display this data in a dashboard. This course may be useful because it teaches about AWS with an IoT focus.

See salaries and explore the career path for Cloud Solutions Architect

Data Engineer

A Data Engineer is responsible for designing, building, and managing the infrastructure for data collection, storage, and processing. This course may be useful as you will learn about cloud computing, in particular Amazon Web Service and AWS IoT solutions. The course includes how to set up AWS IoT Core, AWS IoT Analytics and AWS Quick Sight to receive and display data. You will handle sensor data transmitted via MQTT to the cloud, providing an understanding of the data pipeline within an IoT system. This course may help a data engineer to work with IoT data.

See salaries and explore the career path for Data Engineer

Automation Engineer

An Automation Engineer designs, develops, and implements automated systems. This course may be useful as it covers the development of an IoT solution using ESP32, Raspberry Pi, and AWS. You'll learn to develop IoT sensors using ESP32 and Arduino IDE, and how to program these devices to collect data. The course teaches about wireless communications, such as WiFi and MQTT. This course may be helpful if one seeks practical knowledge in the implementation of sensor technology and cloud integration, which are often key components of automated systems.

See salaries and explore the career path for Automation Engineer

IoT Consultant

An IoT Consultant advises clients on developing and implementing IoT solutions. This course may be useful for a future IoT Consultant, as it teaches the entire process of building an IoT solution, from sensor implementation using ESP32 and Arduino IDE, to setting up a Raspberry Pi gateway, and utilizing AWS cloud services. The course includes hands-on experience with wireless communications like MQTT, and cloud platforms using AWS IoT Core, Analytics, and Quick Sight. This course may be helpful to advise clients using a wide-range of technologies.

See salaries and explore the career path for IoT Consultant

Technical Trainer

A Technical Trainer teaches technical skills and concepts to others. This course may be useful as it provides practical, hands-on experience of an IoT system. The course teaches you how to develop IoT sensors using ESP32 and Arduino IDE, how to set up an IoT gateway using Raspberry Pi, and how to use cloud computing with AWS. Through this course you will have a deeper understanding of the technology. You will learn different programming languages (Arduino and Python) as well as different hardware systems (ESP32 and Raspberry Pi). This will give you the background to help others understand the technology.

See salaries and explore the career path for Technical Trainer

Technical Sales Engineer

A Technical Sales Engineer uses technical expertise to sell products or services. The course may be useful for this role, as it provides hands-on experience with a full IoT system, including sensor development with ESP32, use of Raspberry Pi as a gateway, and AWS cloud solutions. The course covers the various technologies across the technology stack, giving a Technical Sales Engineer the ability to understand, and communicate details about these technologies to potential clients. This course may be helpful to explain the technologies in use.

See salaries and explore the career path for Technical Sales Engineer

Project Manager

A Project Manager oversees and coordinates projects, sometimes in the technology sector. Individuals in this role benefit from understanding the underlying technology systems. The course will help you to learn about the different components of a complete IoT solution, from sensor development with ESP32 and Arduino IDE, to setting up a Raspberry Pi gateway, and utilizing the AWS cloud. Experience with wireless communications like MQTT and AWS IoT core can provide context for managing IoT-related projects. This course will help a project manager understand the technology involved.

See salaries and explore the career path for Project Manager

Network Engineer

A Network Engineer designs, implements, and manages network infrastructure. You will learn about wireless communications, especially WiFi and MQTT, which are essential for IoT systems. The course also includes setting up a Raspberry Pi as a network gateway, and transmitting data to the cloud using AWS. Though a Network Engineer role does not typically include an embedded systems focus, this course may be useful for those who plan to work in an IoT context, as it covers network protocols used in IoT.

See salaries and explore the career path for Network Engineer

Mobile Application Developer

A Mobile Application Developer builds mobile applications. This course may be helpful as it involves use of AWS IoT solutions. The course covers how to set up AWS IoT Core, AWS IoT Analytics and AWS Quick Sight to receive and display data. This could be useful to an app developer who wishes to build an application that gathers IoT data. The course also covers learning about sensor data transmitted via MQTT to the cloud, giving the app developer a sense of how data is stored and moved before its use in an application. This course may be helpful for mobile app developers interested in IoT.

See salaries and explore the career path for Mobile Application Developer

Building Complete IoT Solution with ESP32 and AWS

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