AWS IoT With Edge ML and Cybersecurity A Hands On Approach 1st Edition by Syed Rehan ISBN 9798868800115 886880011X

In an era where the fusion of connectivity and technology is redefining industries, this book is a must-have guide for aspiring technologists and seasoned professionals alike. This meticulously crafted handbook guides you through every aspect of AWS IoT, touching upon vital spheres such as edge computing, machine learning, and industrial IoT, with a distinct spotlight on cybersecurity. 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 tools Advanced Connectivity: Explore advanced MQTT features and the potential of AWS IoT Core MQTT clients Device Integration: Master AWS IoT device creation, connection, and deployment, blending the digital and physical Digital Twin: Unleash IoT’s future with AWS IoT device shadow, capitalizing on digital twin technology Device Management: Transform remote oversight using secure IoT tunneling and innovative actions Edge Development: Merge IoT and Machine Learning via AWS IoT Greengrass, spotlighting image classification Data to Insights: Swiftly move from raw data to actionable insights leveraging Amazon Timestream IoT 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.