AWS Industrial IoT and Edge Computing Fundamentals

Industrial environments generate massive amounts of operational data, but unlocking its value requires specialized cloud architecture. This text-based course introduces you to the fundamentals of the Industrial Internet of Things (IIoT) on AWS, bridging the gap between physical machinery and cloud analytics. You will understand the critical differences between consumer IoT and industrial-scale operations, learning how to design architectures that operate reliably even in low-bandwidth or offline environments. Through written explanations and architectural breakdowns, you will discover how to leverage AWS IoT Core and AWS IoT Greengrass to manage devices at the edge. What you'll learn: - Understand the core differences between standard IoT and Industrial IoT (IIoT) architectures - Explore foundational industrial communication protocols including MQTT and OPC UA - Configure AWS IoT Core to securely connect, manage, and process device data in the cloud - Deploy local compute, messaging, and data caching using AWS IoT Greengrass at the edge - Apply modern security best practices and zero-trust principles to industrial edge deployments - Learn how to containerize edge applications for consistent deployment across factory environments The course begins with foundational definitions, key terminology, and industrial protocols before moving into cloud integration and edge computing strategies. This course is designed for beginners, software developers, and industrial engineers looking to transition to cloud-based IIoT solutions, with no prior AWS experience required. Start reading today to master the fundamentals of modern industrial cloud architecture.