OpenCourser brand icon
Sign in
We may earn an affiliate commission when you visit our partners.

Building Complete IoT Solution with ESP32 and AWS

4.3 Filled star Filled star Filled star Filled star Empty star
Based on 68 ratings
see reviews
Veebar Tech

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.

Read more

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.

Enroll now

Here's a deal for you

We found an offer that may be relevant to this course.
Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Only 19 hours left!
Get ahead, stay ahead
Save on courses you need to learn the skills you need to get ahead
Take
85%
off

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

Syllabus

Learn about IoT Technology and Arduino IDE
Welcome to the Course
What is IoT Technology
How to Download and Work With Arduino IDE
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Covers AWS IoT Core, IoT Analytics, and Quick Sight, which are essential for building a scalable and robust cloud infrastructure for IoT applications
Integrates ESP32, Raspberry Pi, and AWS, providing a comprehensive overview of the IoT development process from sensor to cloud
Explores wireless communication protocols like WiFi and MQTT, which are crucial for enabling seamless data transfer between IoT devices and the cloud
Requires learners to set up an AWS account, which may involve costs depending on the usage and services employed
Uses the Arduino IDE, which is widely adopted and well-supported, making it easier for beginners to get started with ESP32 development
Employs Raspberry Pi with Raspbian OS, offering a versatile platform for building IoT gateways and performing edge computing tasks

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

Building end-to-end iot with esp32 & aws

According to learners, this course provides a solid foundation for building an end-to-end Internet of Things (IoT) solution. Students appreciate the course's comprehensive scope, covering sensors (ESP32), gateway (Raspberry Pi), and the cloud (AWS IoT Core, Analytics, QuickSight). The hands-on projects and demonstrations are frequently highlighted as a major strength, enabling learners to build practical systems. While many find the instructor's explanations clear, some reviewers note challenges with setup processes and occasionally encounter outdated elements, particularly in the AWS section, which may require additional troubleshooting or independent research. The course is generally seen as a good starting point for integrating diverse IoT technologies.
Serves as an excellent introduction for integrating IoT components.
"This course is a fantastic entry point if you want to understand how the different pieces of an IoT solution fit together."
"It gave me a great high-level overview and the confidence to explore specific areas further."
"For someone new to connecting hardware like ESP32 and RPi to cloud services like AWS, this is very valuable."
"I now have a foundational understanding to build upon for more complex IoT projects."
Covers ESP32, Raspberry Pi, MQTT, and multiple AWS IoT services.
"It connects the dots between hardware (ESP32, RPi) and the cloud (AWS), which is exactly what I needed."
"The course covers a wide range of technologies essential for IoT development."
"Getting exposed to ESP32, Python on RPi, MQTT, and AWS IoT Core, Analytics, and QuickSight in one place was great."
"I appreciate that it didn't just focus on one piece, but showed how they all integrate."
Build a complete IoT system from sensor to cloud dashboard.
"The project itself was really cool, connecting everything from ESP32 sensors, to RPi, to AWS cloud."
"The hands-on activities really solidify the concepts and allow you to see a full solution come together."
"I loved building the actual temperature and humidity sensor system and seeing the data appear in AWS QuickSight."
"Getting the hardware components working together with the software and cloud was a rewarding experience."
AWS interface and services change, potentially causing inconsistencies.
"The AWS console screenshots didn't always match the current interface, which made following along difficult at times."
"Some AWS configurations shown seem to be based on older versions of the service."
"I had to look up current AWS documentation to complete the cloud section successfully."
"While the AWS concepts are sound, the practical steps for setting up IoT Core needed verification against recent AWS changes."
Some students face difficulties with hardware and software configuration.
"Getting the ESP32 and Raspberry Pi to communicate reliably via MQTT was a bit frustrating initially."
"The setup process for AWS and getting everything configured took a significant amount of time and debugging."
"Some parts of the code provided required minor tweaks to work on my specific hardware."
"I had trouble getting the required libraries installed correctly on my Raspberry Pi."

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
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
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
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
Expand to see all activities and additional details
Show all seven activities
MQTT Communication Exercises
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'
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
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'
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
Show steps
  • 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

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Building Complete IoT Solution with ESP32 and AWS.
Cover image
Putting Knowledge to Work
Save
Is the official study guide for the AWS Certified IoT-Specialty exam. It provides in-depth coverage of AWS IoT services and best practices. It is particularly useful for understanding the intricacies of AWS IoT Core, AWS IoT Analytics, and other related services. This book useful reference tool for those looking to deepen their knowledge of AWS IoT and potentially pursue certification.
Putting Knowledge to Work
Paperback
Check
Putting Knowledge to Work
Kindle Edition
Check
Cover image
Designing the Internet of Things
Save
Provides a comprehensive overview of the IoT ecosystem. It covers various aspects of IoT design, including hardware, software, and networking. It is particularly useful for understanding the broader context of IoT solutions and exploring different design patterns. This book is more valuable as additional reading to expand on the concepts covered in the course.
Designing the Internet of Things
Paperback
$$
Designing the Internet of Things
Kindle Edition
$$

Share

Help others find this course page by sharing it with your friends and followers:
Facebook
LinkedIn
Reddit
X
Link
Email

Similar courses

Similar courses are unavailable at this time. Please try again later.
Rating
4.3 Filled star Filled star Filled star Filled star Empty star
Effort
4.5 total hours
Via
Udemy
Instructor
Veebar Tech
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Covers AWS IoT Core, IoT Analytics, and Quick Sight, which are essential for building a scalable and robust cloud infrastructure for IoT applications
Integrates ESP32, Raspberry Pi, and AWS, providing a comprehensive overview of the IoT development process from sensor to cloud
Explores wireless communication protocols like WiFi and MQTT, which are crucial for enabling seamless data transfer between IoT devices and the cloud
Requires learners to set up an AWS account, which may involve costs depending on the usage and services employed
Uses the Arduino IDE, which is widely adopted and well-supported, making it easier for beginners to get started with ESP32 development
Employs Raspberry Pi with Raspbian OS, offering a versatile platform for building IoT gateways and performing edge computing tasks
Share this
Share to help others discover this course.
Facebook LinkedIn X Reddit Link Email
Begin learning today
Enroll now to gain full access to Building Complete IoT Solution with ESP32 and AWS.
Enroll now
Save for later
Add this course to your list. Find it anytime.
Save
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser