IoT System Architecture: Designing and Evaluating Connected Systems

Building robust Internet of Things (IoT) systems requires more than just connecting devices; it demands a structured approach to architecture, scalability, and data processing. This text-based course guides you through the fundamental principles of designing and evaluating IoT architectures that seamlessly integrate with modern AI technologies. You will transition from understanding basic hardware connections to architecting comprehensive end-to-end IoT solutions. Through clear, written explanations and structured analysis, you will learn how to balance performance, security, and cost while preparing your systems for AI integration. What you'll learn: - Learn the core terminology, components, and foundational models of IoT architecture. - Evaluate communication protocols such as MQTT, CoAP, and HTTP for different network constraints. - Design edge computing solutions to process data closer to the source and reduce latency. - Integrate AI and machine learning models at the edge and in the cloud for smart decision-making. - Apply modern zero-trust security principles to protect devices, networks, and data pipelines. - Analyze and evaluate system performance, reliability, and scalability using structured frameworks. The course begins with foundational concepts and terminology before moving into protocol selection, edge versus cloud trade-offs, and AI integration. You will progress through written case studies and architecture evaluation exercises designed to simulate real-world system design challenges. This course is designed for beginners, aspiring system architects, and developers looking to enter the IoT space, with no prior hardware or advanced networking experience required. Start reading today to build the foundations of modern, secure, and intelligent IoT systems.