Book Image

Internet of Things from Scratch

By : Renaldi Gondosubroto
Book Image

Internet of Things from Scratch

By: Renaldi Gondosubroto

Overview of this book

Develop the skills essential for building Internet of Things solutions with this indispensable guide. In an era where industries heavily rely on IoT, this book will quickly familiarize you with its foundations, widespread use, implementation guided by best practices, and the crucial technologies that allow it to work effectively. Starting with the use of IoT in real-life scenarios, this book offers comprehensive insights into basic IoT hardware, protocols, and technologies. You’ll then learn about architecting and implementing solutions such as wireless sensor networks, cloud computing with AWS, and crucial security considerations. You’ll understand how these systems are operated and monitored over time and work with simple to complex, industry-grade systems, adhering to best practices. In later chapters, you’ll be apprised of future IoT trends and strategies to manage the risks and opportunities that come with them. You’ll also get to grips with a diverse set of tools, including hardware such as ESP32 and Raspberry Pi, and software such as Mosquitto and ChatGPT for generative AI capabilities. By the end of this IoT book, you’ll be able to independently build and design complex, industry-standard solutions fully aligned with best practices.
Table of Contents (22 chapters)
1
Part 1: Getting Started with the Internet of Things
6
Part 2: Developing and Optimizing IoT Systems for Smart Environments
11
Part 3: Operating, Maintaining, and Securing IoT Networks
16
Part 4: Delving into Complex Systems and the Future of IoT

Practical – Creating an IoT-integrated Amazon Bedrock RAG web application

The convergence of IoT and advanced data processing opens a realm of possibilities for innovation. In this practical exercise, we explore how to deploy a RAG model on an IoT device, specifically a Raspberry Pi, using Flask as our web server framework. By setting up a Flask server on a Raspberry Pi, we demonstrate a lightweight yet powerful approach to integrating AI capabilities into IoT devices. This exercise provides a hands-on experience in deploying AI models to edge devices, highlighting the potential of IoT systems to not only collect data but to host services that can interpret and provide intelligence.

RAG combines the retrieval of informational documents with the generation of responses, enabling the system to provide informative, contextually relevant answers to user queries. We will be accomplishing this by using one of the newer emerging technologies for generative AI: Amazon Bedrock. Amazon...