Go beyond Linux, sensors, vision, and edge AI to build cloud-connected Raspberry Pi IoT systems, using MQTT and AI-agent workflows to create practical intelligent applications
Key Features
- Build a strong foundation in Raspberry Pi, embedded Linux, C/C++, and Python development
- Control sensors, peripherals, cameras, and GPIO interfaces for practical embedded projects
- Develop intelligent IoT apps using OpenCV, edge ML, MQTT, and AI agents
Book Description
Raspberry Pi has grown from an affordable educational computer into a flexible platform for embedded development, IoT systems, computer vision, and edge AI. This book shows you how to use Raspberry Pi to build practical, intelligent, and cloud-connected applications from the ground up. Starting with Raspberry Pi hardware and embedded system fundamentals, you will learn how Raspberry Pi OS and Linux support real-world embedded development. You will set up and configure the system, work with boot and remote access options, and develop applications using C/C++ and Python. The book then moves into hands-on hardware interaction, showing how to control GPIO pins, sensors, peripherals, and cameras for practical embedded projects. As you progress, you will explore machine vision with OpenCV, deploy edge-side machine learning models using LiteRT, and connect Raspberry Pi applications to the cloud using MQTT. The final project brings these skills together in an intelligent flower monitoring system that combines sensors, image capture, IoT communication, cloud control, and an AI-agent workflow. By the end of this book, you will be able to design, build, and extend Raspberry Pi-based embedded IoT systems that combine hardware control, Linux programming, edge intelligence, and cloud integration.
What you will learn
- Understand Raspberry Pi hardware and embedded system concepts
- Set up, configure, and manage Raspberry Pi OS
- Compile and debug C/C++ programs on Raspberry Pi
- Develop Python applications for hardware interaction
- Control GPIO, sensors, peripherals, and cameras
- Process images and video using OpenCV
- Deploy edge machine learning models with LiteRT
- Build MQTT-based cloud-connected intelligent IoT projects
Who this book is for
This book is for IoT developers, embedded systems engineers, software developers, Linux users, and Python or C/C++ programmers who want to build Raspberry Pi-based embedded and intelligent IoT applications. It is also suitable for students and makers looking to move beyond basic Raspberry Pi projects into sensors, peripherals, computer vision, edge machine learning, MQTT-based cloud communication, and AI-enabled IoT systems. Basic programming knowledge is helpful, but no prior Raspberry Pi or embedded Linux experience is required.
