Building Serverless Robotics with AWS, AI, and ROS 2: Designing Drone Detection and Defense Systems Under Fire - Tapa blanda
Sinopsis
This book takes a hands-on, simplified approach to building scalable robotic systems using Terraform for infrastructure and Python for logic. This book eliminates unnecessary complexity, offering practical techniques such as storing binary data in Amazon S3 to trigger AI-based workflows―allowing you to move swiftly from prototype to production.
In this book, you’ll learn how to set up a ROS2-based camera with servo motors, process images using AI models hosted on AWS, and trigger automated actions with Lambda functions and DynamoDB. Each chapter walks you through real-world implementations, providing Terraform code for deploying serverless components. You'll discover how to manage data streams, run AI-powered object detection, and send movement commands to ROS2 devices―all while maintaining a fully integrated cloud-robotics workflow. Rather than isolating cloud and robotics concepts, this book presents a practical, end-to-end approach with code snippets and best practices for seamless deployment.
By the end of this book, you’ll have a repeatable framework for using AWS services and AI agents to control and manage ROS2 devices―without the need for complex IoT setups. Whether you’re a robotics enthusiast or a cloud developer, you’ll gain the confidence to build scalable, cost-effective, real-time robotics applications that respond to real-world events effortlessly.
What you will learn:
- How to set up a simplified serverless pipeline using AWS, Terraform, and Python
- Explore integrating ROS2 devices with AI agents for real-time event handling
- How to deploy AI-driven object detection and servo control logic
- How to manage data flows efficiently with minimal overhead
Who this book is for:
DevOps engineers, robotics enthusiasts, and AI/ML practitioners . Developers looking to integrate ROS2 devices with cloud services. Software architects seeking practical serverless solutions
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Dmytro Kozhevin is an accomplished DevOps Engineer and Educator with over 18 years of experience, specializing in AI, serverless robotics, and cloud infrastructure. Currently, he focuses on AWS EKS, CI/CD, and Kubernetes, helping professionals implement scalable, automated solutions. His expertise extends to integrating AI-driven workflows with AWS services and ROS2, enabling real-time decision-making in robotics. Passionate about innovation, Dmytro is dedicated to simplifying complex DevOps and AI challenges, making advanced cloud and automation technologies accessible through education, hands-on training, and real-world applications.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Building Serverless Robotics with AWS, AI, and ROS 2: Designing Drone Detection and Defense Systems Under Fire
Librería: California Books, Miami, FL, Estados Unidos de America
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Building Serverless Robotics with AWS, AI, and ROS 2 (Paperback)
Impresión bajo demandaLibrería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. This book takes a hands-on, simplified approach to building scalable robotic systems using Terraform for infrastructure and Python for logic. This book eliminates unnecessary complexity, offering practical techniques such as storing binary data in Amazon S3 to trigger AI-based workflowsallowing you to move swiftly from prototype to production. In this book, youll learn how to set up a ROS2-based camera with servo motors, process images using AI models hosted on AWS, and trigger automated actions with Lambda functions and DynamoDB. Each chapter walks you through real-world implementations, providing Terraform code for deploying serverless components. You'll discover how to manage data streams, run AI-powered object detection, and send movement commands to ROS2 devicesall while maintaining a fully integrated cloud-robotics workflow. Rather than isolating cloud and robotics concepts, this book presents a practical, end-to-end approach with code snippets and best practices for seamless deployment.By the end of this book, youll have a repeatable framework for using AWS services and AI agents to control and manage ROS2 deviceswithout the need for complex IoT setups. Whether youre a robotics enthusiast or a cloud developer, youll gain the confidence to build scalable, cost-effective, real-time robotics applications that respond to real-world events effortlessly. What you will learn:How to set up a simplified serverless pipeline using AWS, Terraform, and Python Explore integrating ROS2 devices with AI agents for real-time event handling How to deploy AI-driven object detection and servo control logic How to manage data flows efficiently with minimal overhead Who this book is for:DevOps engineers, robotics enthusiasts, and AI/ML practitioners . Developers looking to integrate ROS2 devices with cloud services. Software architects seeking practical serverless solutions This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798868824975
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Building Serverless Robotics with AWS, AI, and ROS 2
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
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Building Serverless Robotics with AWS, AI, and ROS 2 (eng)
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
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Building Serverless Robotics with AWS, AI, and ROS 2
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
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Paperback. Condición: New. Nº de ref. del artículo: LU-9798868824975
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Building Serverless Robotics with AWS, AI, and ROS 2
Librería: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -This book takes a hands-on, simplified approach to building scalable robotic systems using Terraform for infrastructure and Python for logic. This book eliminates unnecessary complexity, offering practical techniques such as storing binary data in Amazon S3 to trigger AI-based workflows-allowing you to move swiftly from prototype to production.In this book, you'll learn how to set up a ROS2-based camera with servo motors, process images using AI models hosted on AWS, and trigger automated actions with Lambda functions and DynamoDB. Each chapter walks you through real-world implementations, providing Terraform code for deploying serverless components. You'll discover how to manage data streams, run AI-powered object detection, and send movement commands to ROS2 devices-all while maintaining a fully integrated cloud-robotics workflow. Rather than isolating cloud and robotics concepts, this book presents a practical, end-to-end approach with code snippets and best practices for seamless deployment.By the end of this book, you'll have a repeatable framework for using AWS services and AI agents to control and manage ROS2 devices-without the need for complex IoT setups. Whether you're a robotics enthusiast or a cloud developer, you'll gain the confidence to build scalable, cost-effective, real-time robotics applications that respond to real-world events effortlessly.What you will learn:How to set up a simplified serverless pipeline using AWS, Terraform, and Python Explore integrating ROS2 devices with AI agents for real-time event handling How to deploy AI-driven object detection and servo control logic How to manage data flows efficiently with minimal overhead Who this book is for:DevOps engineers, robotics enthusiasts, and AI/ML practitioners . Developers looking to integrate ROS2 devices with cloud services. Software architects seeking practical serverless solutions 907 pp. Englisch. Nº de ref. del artículo: 9798868824975
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Building Serverless Robotics with AWS, AI, and ROS 2
Impresión bajo demandaLibrería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book takes a hands-on, simplified approach to building scalable robotic systems using Terraform for infrastructure and Python for logic. This book eliminates unnecessary complexity, offering practical techniques such as storing binary data in Amazon S3 to trigger AI-based workflows-allowing you to move swiftly from prototype to production.In this book, you'll learn how to set up a ROS2-based camera with servo motors, process images using AI models hosted on AWS, and trigger automated actions with Lambda functions and DynamoDB. Each chapter walks you through real-world implementations, providing Terraform code for deploying serverless components. You'll discover how to manage data streams, run AI-powered object detection, and send movement commands to ROS2 devices-all while maintaining a fully integrated cloud-robotics workflow. Rather than isolating cloud and robotics concepts, this book presents a practical, end-to-end approach with code snippets and best practices for seamless deployment.By the end of this book, you'll have a repeatable framework for using AWS services and AI agents to control and manage ROS2 devices-without the need for complex IoT setups. Whether you're a robotics enthusiast or a cloud developer, you'll gain the confidence to build scalable, cost-effective, real-time robotics applications that respond to real-world events effortlessly.What you will learn:How to set up a simplified serverless pipeline using AWS, Terraform, and Python Explore integrating ROS2 devices with AI agents for real-time event handling How to deploy AI-driven object detection and servo control logic How to manage data flows efficiently with minimal overhead Who this book is for:DevOps engineers, robotics enthusiasts, and AI/ML practitioners . Developers looking to integrate ROS2 devices with cloud services. Software architects seeking practical serverless solutions 907 pp. Englisch. Nº de ref. del artículo: 9798868824975
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Building Serverless Robotics with AWS, AI, and ROS 2
Librería: Wegmann1855, Zwiesel, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -This book takes a hands-on, simplified approach to building scalable robotic systems using Terraform for infrastructure and Python for logic. This book eliminates unnecessary complexity, offering practical techniques such as storing binary data in Amazon S3 to trigger AI-based workflows-allowing you to move swiftly from prototype to production. In this book, you'll learn how to set up a ROS2-based camera with servo motors, process images using AI models hosted on AWS, and trigger automated actions with Lambda functions and DynamoDB. Each chapter walks you through real-world implementations, providing Terraform code for deploying serverless components. You'll discover how to manage data streams, run AI-powered object detection, and send movement commands to ROS2 devices-all while maintaining a fully integrated cloud-robotics workflow. Rather than isolating cloud and robotics concepts, this book presents a practical, end-to-end approach with code snippets and best practices for seamless deployment.By the end of this book, you'll have a repeatable framework for using AWS services and AI agents to control and manage ROS2 devices-without the need for complex IoT setups. Whether you're a robotics enthusiast or a cloud developer, you'll gain the confidence to build scalable, cost-effective, real-time robotics applications that respond to real-world events effortlessly. What you will learn: - How to set up a simplified serverless pipeline using AWS, Terraform, and Python - Explore integrating ROS2 devices with AI agents for real-time event handling - How to deploy AI-driven object detection and servo control logic - How to manage data flows efficiently with minimal overhead Who this book is for:DevOps engineers, robotics enthusiasts, and AI/ML practitioners . Developers looking to integrate ROS2 devices with cloud services. Software architects seeking practical serverless solutions. Nº de ref. del artículo: 9798868824975
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BUILDING SERVERLESS ROBOTICS WITH AWS AI
Librería: Speedyhen, Hertfordshire, Reino Unido
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Building Serverless Robotics with AWS, AI, and ROS 2
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: New. This book takes a hands-on, simplified approach to building scalable robotic systems using Terraform for infrastructure and Python for logic. This book eliminates unnecessary complexity, offering practical techniques such as storing binary data in Amazon S3 to trigger AI-based workflows-allowing you to move swiftly from prototype to production. In this book, you'll learn how to set up a ROS2-based camera with servo motors, process images using AI models hosted on AWS, and trigger automated actions with Lambda functions and DynamoDB. Each chapter walks you through real-world implementations, providing Terraform code for deploying serverless components. You'll discover how to manage data streams, run AI-powered object detection, and send movement commands to ROS2 devices-all while maintaining a fully integrated cloud-robotics workflow. Rather than isolating cloud and robotics concepts, this book presents a practical, end-to-end approach with code snippets and best practices for seamless deployment.By the end of this book, you'll have a repeatable framework for using AWS services and AI agents to control and manage ROS2 devices-without the need for complex IoT setups. Whether you're a robotics enthusiast or a cloud developer, you'll gain the confidence to build scalable, cost-effective, real-time robotics applications that respond to real-world events effortlessly. What you will learn:How to set up a simplified serverless pipeline using AWS, Terraform, and Python Explore integrating ROS2 devices with AI agents for real-time event handling How to deploy AI-driven object detection and servo control logic How to manage data flows efficiently with minimal overhead Who this book is for:DevOps engineers, robotics enthusiasts, and AI/ML practitioners . Developers looking to integrate ROS2 devices with cloud services. Software architects seeking practical serverless solutions. Nº de ref. del artículo: LU-9798868824975
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