Isbn: 9798868824975 - building serverless robotics with aws, ai, and ros 2: designing drone detection and defense systems under fire (18 risultati)

Condizione: New.

Paperback. Condizione: 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.…

Paperback. Condizione: 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.…

Taschenbuch. Condizione: 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.…

Taschenbuch. Condizione: 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.…

Condizione: NEW.

Condizione: New.

Paperback. Condizione: 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.…

Taschenbuch. Condizione: 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 solutionsLibri GmbH, Europaallee 1, 36244 Bad Hersfeld 907 pp. Englisch.…

Taschenbuch. Condizione: Neu. Building Serverless Robotics with AWS, AI, and ROS 2 | Designing Drone Detection and Defense Systems Under Fire | Dmytro Kozhevin | Taschenbuch | xxv | Englisch | 2026 | Apress | EAN 9798868824975 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Condizione: 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.…

Paperback. Condizione: 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.…

Taschenbuch. Condizione: 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 936 pp. Englisch.…

Paperback. Condizione: 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.…

Condizione: new. Questo è un articolo print on demand.

Taschenbuch. Condizione: 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.…

Paperback. Condizione: 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condizione: 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…