AWS IoT With Edge ML and Cybersecurity A Hands–On Approach

Over the course of this book, industry veteran Syed Rehan unveils the secrets to setting up your AWS IoT environment and walks you through advanced concepts such as leveraging MQTT, mastering Digital Twin implementation, and plumbing the depths of edge machine learning. Whether you're experimenting with virtual devices or hands-on with Raspberry Pi setups, this book will steer you towards innovation and a transformative journey where technology meets intelligence and security, all under the expansive umbrella of AWS IoT.
What You Will Learn
AWS Mastery: Dive deep into AWS IoT essentials, from setup to hands-on SDK toolsAdvanced Connectivity: Explore advanced MQTT features and the potential of AWS IoT Core MQTT clientsDevice Integration: Master AWS IoT device creation, connection, and deployment, blending the digital and physicalDigital Twin: Unleash IoT's future with AWS IoT device shadow, capitalizing on digital twin technologyDevice Management: Transform remote oversight using secure IoT tunneling and innovative actionsEdge Development: Merge IoT and Machine Learning via AWS IoT Greengrass, spotlighting image classificationData to Insights: Swiftly move from raw data to actionable insights leveraging Amazon TimestreamIoT Cybersecurity: Strengthen your defenses using AWS IoT Device Defender, Zero Trust principles, and Machine Learning (ML) Detect to prepare for and counter threats
Who This Book Is For
IoT developers and enthusiasts, professionals who want to implement IoT solutions in industrial scenarios, system architects and designers interested in edge machine learning, business intelligence analysts, and cybersecurity professionals.