Название: AWS IoT With Edge ML and Cybersecurity: A Hands-On Approach
Автор: Syed Rehan
Издательство: Apress
Год: 2024
Страниц: 355
Язык: английский
Формат: pdf
Размер: 15.2 MB

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 Rehad 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 tunnelling 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.