Build cutting-edge projects with ChatGPT, PlatformIO, ESP32, and Arduino-compatible sensors by integrating AWS Cloud and the ThingsBoard dashboard

Key Features

Leverage ChatGPT to generate code on ESP32 for sending sensor data to AWS Cloud
Create your own visualization dashboard on ThingsBoard Cloud
Follow step-by-step configuration guidance to ingest, process, store, and query data on AWS Cloud
Purchase of the print or Kindle book includes a free PDF eBook

Book Description

Unlike other IoT books that focus on theory and generic applications, this guide takes a practical approach, empowering you to leverage ChatGPT to build your very first IoT prototype. With over 20 years of experience in wireless and IoT technologies and a background as an instructor, Jun Wen expertly guides you from project kick-off to a fully functional prototype.

The book emphasizes the transformative impact of ChatGPT for IoT, teaching you how to use ChatGPT to generate code for your applications, even with limited coding experience. You’ll be introduced to using PlatformIO IDE within Visual Studio Code and discover the cutting-edge RISC-V architecture, the ESP32 MCU, Arduino-compatible sensors, and integration methods for AWS and the ThingsBoard dashboard. Working through 10 different project examples, including flame detection, smoke detection, and air quality measurement, you’ll become proficient in the functions and specifications of each sensor and the use cases they solve.

By the end of this book, you’ll be ready to undertake IoT development projects, bridging the gap between your ideas and functional creations.

What you will learn

Master IoT essentials, such as networks, end devices, wireless connectivity, and the cloud
Explore the ChatGPT prompting framework and build crucial skills for IoT projects
Discover best practices for building robust IoT hardware prototypes
Find out how to set up Visual Studio Code and PlatformIO IDE
Connect ESP32 to AWS through TLS and MQTT
Explore popular connectivity technologies widely adopted in IoT
Integrate IoT sensors with ESP32 to capture accurate data using ChatGPT's assistance

Who this book is for

If you’re a beginner interested in applying IoT technology to your projects but face challenges due to limited experience in embedded software coding, specifically in C and C++, this book is for you. Whether you’re a student, hardware hobbyist, DIY enthusiast, IoT developer, or professional from a non-technical background, if you feel that your ability to innovate is often stalled by the complexity of software coding, this easy-to-follow guide to using ChatGPT for generating example code will boost your IoT prototype development.

IoT Essentials, All You Should Know
IoT Network, the Neural System of Things
IoT End Devices, the Neuron Cells of an IoT System
Wireless Connectivity, the Nervous Pathway to Delivering IoT Data
The Cloud, IoT's “Superpower Brain”
Applying ChatGPT in the IoT Innovation Journey
Recommendations to Start Your First IoT Project
10 Beginner-Friendly IoT Projects with ChatGPT Prompts
Using AI Tools to Draw Application Flow Diagrams
Setting Up the Development Environment for Your First Project
Programming Your First Code on ESP32
Establishing Wi-Fi Connectivity
Connecting the ESP32 to AWS IoT Core
Publishing Sensor Data to AWS IoT Core
Processing, Storing, and Querying Sensor Data on AWS Cloud
Creating a Data Visualization Dashboard on ThingsBoard

About the Author

Jun Wen, the founder of AI Discovery Academy, is a passionate evangelist for AI enlightenment education among school students. With more than twenty years of experience in technology development, Jun has specialized in a wide range of industrial domains, including 4G/LTE, 5G, Wi-Fi, BLE, LoRaWAN, IoT, robotics, and AI. He has previously held senior product management positions at Fortune 500 companies such as Amazon, Cisco, and Motorola. Jun holds a Master of Science degree from Brown University and is an AWS Certified Solutions Architect - Professional. His passion extends to creating IoT innovations, utilizing platforms including Arduino, Raspberry Pi, RISC-V, and the AWS cloud, and finding practical applications for AI.

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