AI-Powered IoT Development with .NET 10 and C# 14: Build Intelligent Connected Devices Edge AI, Machine Learning, Sensors, MQTT, Raspberry Pi, Cloud

What if your IoT devices could do more than collect sensor readings, what if they could sense, analyze, learn, communicate, and act intelligently? AI-Powered IoT Development with .NET 10 and C# 14 shows you how to build intelligent connected devices from the ground up, using Raspberry Pi, sensors, MQTT, machine learning, edge AI, computer vision, generative AI, and cloud automation. You will learn how to turn a physical device into a reliable AI-powered system capable of processing information locally, communicating with cloud services, detecting patterns, responding to events, and supporting real-world applications such as smart agriculture, industrial monitoring, home automation, and predictive maintenance. Built around .NET 10 and C# 14, this practical guide brings modern software development into the world of physical computing. You will work with Raspberry Pi and hardware interfaces including GPIO, I²C, SPI, PWM, and serial, connect sensors and actuators, build reliable telemetry pipelines with SQLite, and communicate through MQTT and Azure IoT Hub. The book then takes your system further with ML.NET and ONNX for edge machine learning, ONNX Runtime for computer vision, and generative AI with tool calling for higher-level reasoning and device interaction. Rather than presenting disconnected tutorials, this book takes you through the evolution of one complete AIoT architecture, from physical hardware and sensor data to telemetry, cloud connectivity, machine learning, AI reasoning, and automated action. Inside, you will learn to build .NET IoT applications on Raspberry Pi; connect and control sensors, motors, relays, LEDs, and displays; design resilient telemetry with buffering and local persistence; implement MQTT communication and TLS security; connect devices to Azure IoT Hub; deploy ML and ONNX models at the edge; build camera-based computer vision; create AI-powered IoT monitoring assistants; give AI access to live device data through tool calling; develop predictive maintenance and anomaly-detection workflows; and secure, monitor, containerize, and deploy production-ready IoT services. Whether you are a .NET developer, C# programmer, IoT engineer, embedded developer, software engineer, Raspberry Pi enthusiast, cloud developer, or aspiring AIoT practitioner, this book gives you a progressive path from your first hardware interaction to intelligent connected systems. You do not need to be an expert in every technology before you begin; each major capability is introduced as part of the evolving architecture, with an emphasis on practical engineering, reliability, security, deployment, and real-world constraints. If you are ready to move beyond traditional IoT prototypes and learn how to build intelligent devices with .NET 10 and C# 14. Get your copy today and start building your own AI-powered connected systems.