AWS IoT With Edge ML and Cybersecurity

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.

Covers a wide range of AWS IoT topics, including edge ML, cybersecurity, and more Gain hands-on experience for virtual and physical setups, like Raspberry Pi Prioritizes cybersecurity with best practices and AWS tools to protect IoT deployments

Auteur

Syed Rehan has established himself as a luminary in the world of cloud technologies over the course of a career spanning 18+ years in the fields of development, IoT, and cybersecurity. Having joined AWS in 2017, Syed has been at the forefront of their initiatives, consistently driving innovation and contributing to the platform's evolution. His rich portfolio includes numerous insightful blogs, workshops and authoritative whitepapers for AWS, showcasing his deep expertise and thought leadership in the industry.

Syed has graced the main stage as a speaker at AWS re:Invent and numerous global conferences, shedding light on the rapidly evolving landscapes of cybersecurity, IoT, and cloud technologies. Presently, Syed serves as a Senior Global Cybersecurity Specialist in the AWS IoT Core Security Foundation team. His collaborative spirit has been reflected in his instrumental role with the product teams in launching pivotal services like AWS IoT Device Defender and AWS IoT Greengrass.

Syed's trailblazing journey is marked with several firsts. He was among the initial cohort of specialist solution architects for AWS IoT in EMEA, and he also earned the honor of being the first specialist Solution Architect for Amazon Connect. Syed's legacy in AWS and the cloud domain is a blend of vast experience, innovation, unwavering passion and leadership, a legacy that continues to inspire and guide the next generation of tech enthusiasts.

Contenu
Chapter 1: Setup AWS IoT Development Environment.- Chapter 2: MQTT, IoT Policies, JITP and JITR.- Chapter 3: Connecting and Publishing to AWS IoT.- Chapter 4: Digital Twin with AWS IoT Device Shadow and Basic Ingest Routing.- Chapter 5: Remote Actions using AWS IoT.- Chapter 6: Edge Development Using AWS IoT Greengrass.- Chapter 7: Industrial IoT with AWS IoT.- Chapter 8: Machine Learning (ML) at Edge with AWS IoT.- Chapter 9: Business Intelligence and Real-Time Insights by using Timestream Data.- Chapter 10: Cybersecurity with AWS.