Festa Smith (36 results)
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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- Softcover
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- Softcover
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- Softcover
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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- Softcover
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
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Paperback. Condition: new. Paperback. Hermes Agent in Action: Build Autonomous AI Applications with Memory, MCP, Tool Calling, RAG, and Multi-Agent Workflows Artificial intelligence is rapidly moving beyond chatbots and simple text generation. Today's AI applications can remember previous interactions, retrieve trusted knowledge…, communicate with external systems, use tools, collaborate with other agents, and automate complex business processes. Hermes Agent in Action is a practical, hands-on guide that teaches you how to design, build, deploy, and scale these next-generation autonomous AI applications using the Hermes Agent framework.Whether you are a software developer, AI engineer, machine learning practitioner, automation specialist, or technology professional, this book provides the practical knowledge needed to build intelligent applications that solve real business problems.Starting with the fundamentals, you'll learn how autonomous AI applications differ from traditional AI systems and how Hermes Agent coordinates reasoning, memory, tool execution, and external integrations. From there, you'll build increasingly capable applications by implementing persistent memory, managing conversations, designing effective agent instructions, integrating APIs, connecting databases, working with files, and extending your applications through the Model Context Protocol (MCP).You'll also master Retrieval-Augmented Generation (RAG), learning how to build intelligent knowledge-aware applications using vector databases, semantic search, and document retrieval techniques that produce more accurate and reliable responses. As your skills grow, you'll explore multi-agent architectures that enable specialized AI agents to collaborate on complex workflows and solve problems more efficiently.Rather than stopping with individual concepts, this book walks you through building complete production-oriented applications, including an intelligent research assistant, an AI customer support application, an AI coding assistant, and workflow automation solutions. These projects demonstrate how memory, MCP, tool calling, RAG, and multi-agent collaboration work together to create practical AI systems that organizations can deploy with confidence.Building an AI application is only part of the process. This book also covers the engineering practices required for production environments. You'll learn how to test and evaluate AI systems, implement authentication and authorization, secure sensitive data, apply responsible AI principles, deploy applications with Docker, monitor production workloads, optimize performance and operational costs, design enterprise-grade architectures, and scale autonomous AI applications to support real users. Inside This Book, You'll Learn How To: Build autonomous AI applications with Hermes Agent from the ground up.Design intelligent agents with memory and long-running conversations.Implement tool calling for APIs, databases, files, and external services.Integrate Model Context Protocol (MCP) into production applications.Build Retrieval-Augmented Generation (RAG) systems using vector databases.Design and orchestrate collaborative multi-agent workflows.Develop practical AI applications for research, coding, customer support, and automation.Secure, test, deploy, monitor, optimize, and scale AI applications using proven engineering practices.Build enterprise-ready AI systems that are reliable, maintainable, and production-ready.By the time you finish this book, you won't just understand Hermes Agent-you'll know how to engineer intelligent AI applications that integrate with modern software systems, automate meaningful work, and operate reliably in production. Start building autonomous AI applications today and turn your ideas int Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Softcover
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.Rarewaves USA United
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- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Neuware.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Neuware - Julia for Machine Learning and AI: Build Intelligent Models, Train Neural Networks, and Develop High-Performance AI Applications If you want to move beyond theory and start building real machine learning systems that are fast, reliable, and scalable, this book gives you a clear path forward….Julia for Machine Learning and AI is designed to help you understand not just how models work, but how to build them from the ground up using Julia. You will learn how to work with data, design models, train neural networks, and optimize performance using tools like Flux.jl, all while keeping your code efficient and production-ready.The book starts by helping you build a solid foundation in Julia for numerical computing and data handling. From there, you move into core machine learning concepts, including regression, classification, and model evaluation. You will not just learn definitions-you will implement each concept with working code and understand how it behaves in practice.As you progress, you will explore how to build and train neural networks, understand how optimization works, and learn how to improve model accuracy and stability. You will also see how to handle larger datasets, optimize performance, and scale your systems using parallel and efficient computation techniques.What makes this book especially practical is its focus on complete systems. You will learn how to design data pipelines, deploy models, integrate them into real applications, and monitor them over time. By the end, you will be able to build end-to-end AI systems that go beyond experiments and deliver real value.Throughout the book, you will work on hands-on projects that reflect real-world challenges. These projects help you connect concepts to practical use, so you are not just learning-you are building.Whether you are a developer looking to enter machine learning, a data professional aiming to improve performance and scalability, or someone who wants a clear and structured way to learn AI with Julia, this book gives you the tools and understanding you need.>Start now, write the code, train the models, and create systems that solve real problems.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Neuware.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Neuware - Agentic Spec-Driven Software Engineering: A Practical Guide to Requirements Planning, System Design, and AI-Assisted Development Agentic Spec-Driven Software Engineering introduces a modern approach to building software in the age of AI. As development teams increasingly rely on intelligent… assistants, code generators, and autonomous agents, the ability to create clear, structured, and actionable specifications has become one of the most valuable skills in software engineering.This book shows you how to move beyond traditional code-first development and adopt a specification-first mindset that places requirements, architecture, quality, and business objectives at the center of every engineering decision. You will learn how AI agents can assist with requirements discovery, system design, architecture evaluation, testing, deployment planning, governance, and continuous improvement while remaining aligned with well-defined specifications.Through practical examples, proven frameworks, real-world case studies, and reusable templates, you will discover how to transform ideas into structured requirements, create high-quality specifications, design scalable architectures, generate implementation plans, automate validation workflows, and build effective multi-agent engineering systems.Inside this book, you will learn how to: - Create clear, complete, and testable software specifications- Use AI agents for requirements planning and discovery- Design architectures directly from documented requirements- Build APIs, data models, and integration strategies from specifications- Generate tests and quality assurance workflows automatically- Maintain alignment between specifications, code, and operations- Establish governance, traceability, and compliance processes- Build AI-native engineering teams and workflows- Prepare for the future of autonomous software developmentWhether you are a software engineer, architect, technical lead, product manager, consultant, founder, or technology leader, this book provides a practical framework for designing and delivering software systems that are more predictable, maintainable, scalable, and aligned with business goals.The future of software engineering belongs to teams that can effectively collaborate with AI while maintaining clarity, control, and engineering discipline. Start building that future today and learn how specification-driven thinking can transform the way you design, develop, and deliver software.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Neuware - Mastering Cursor IDE: A Practical Guide to AI-Assisted Programming and Modern Software Development Software development is changing rapidly, and developers who learn to work effectively with AI are gaining a significant advantage. Cursor IDE is at the forefront of this transformation, combi…ning the power of modern code editors with advanced artificial intelligence to help developers write better code, solve problems faster, and build applications more efficiently.Mastering Cursor IDE is a practical, hands-on guide designed to help you unlock the full potential of AI-assisted software development. Whether you are a beginner exploring AI-powered coding tools for the first time or an experienced developer looking to improve productivity and streamline your workflow, this book provides the knowledge and techniques needed to use Cursor confidently in real-world projects.Starting with the fundamentals, you will learn how Cursor works, how to configure your development environment, and how to communicate effectively with AI through prompt engineering techniques. As you progress, you will discover how to use Cursor to build frontend applications, develop backend services, manage databases, create APIs, automate testing, debug complex issues, refactor existing code, and deploy production-ready applications.This book goes beyond simple code generation. You will learn how to use Cursor for software architecture planning, technical documentation, code reviews, team collaboration, DevOps workflows, security analysis, and long-term code maintenance. You will also explore emerging concepts such as agentic development, AI-native engineering practices, autonomous workflows, and the future of AI-assisted software engineering.Inside this book, you will learn how to: - Set up and optimize Cursor IDE for maximum productivity- Write effective prompts that produce better AI-generated code- Build frontend, backend, and full-stack applications faster- Create scalable software architectures with AI assistance- Generate unit tests, integration tests, and debugging solutions- Refactor legacy applications and improve code quality- Manage version control and collaborative development workflows- Apply secure coding practices and review AI-generated output- Automate documentation and knowledge management- Deploy, monitor, and maintain modern applications- Prepare for the next generation of AI-powered software developmentPacked with practical examples, real-world workflows, best practices, productivity techniques, and professional insights, this book equips you with the skills needed to become a more effective developer in an AI-driven industry.>Open this book, master Cursor IDE, and start building software faster, smarter, and more confidently than ever before.
- Softcover
- Print on Demand
Seller: California Books, Miami, FL, U.S.A.California Books
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- Softcover
- Print on Demand
Seller: California Books, Miami, FL, U.S.A.California Books
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- Softcover
- Print on Demand
Seller: California Books, Miami, FL, U.S.A.California Books
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- Softcover
- Print on Demand
Seller: California Books, Miami, FL, U.S.A.California Books
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- Softcover
- Print on Demand
Seller: California Books, Miami, FL, U.S.A.California Books
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- Softcover
- Print on Demand
Seller: California Books, Miami, FL, U.S.A.California Books
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- Softcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Paperback. Condition: new. Paperback. Agentic Spec-Driven Software Engineering: A Practical Guide to Requirements Planning, System Design, and AI-Assisted Development Agentic Spec-Driven Software Engineering introduces a modern approach to building software in the age of AI. As development teams increasingly rely on intelligent…assistants, code generators, and autonomous agents, the ability to create clear, structured, and actionable specifications has become one of the most valuable skills in software engineering.This book shows you how to move beyond traditional code-first development and adopt a specification-first mindset that places requirements, architecture, quality, and business objectives at the center of every engineering decision. You will learn how AI agents can assist with requirements discovery, system design, architecture evaluation, testing, deployment planning, governance, and continuous improvement while remaining aligned with well-defined specifications.Through practical examples, proven frameworks, real-world case studies, and reusable templates, you will discover how to transform ideas into structured requirements, create high-quality specifications, design scalable architectures, generate implementation plans, automate validation workflows, and build effective multi-agent engineering systems.Inside this book, you will learn how to: - Create clear, complete, and testable software specifications- Use AI agents for requirements planning and discovery- Design architectures directly from documented requirements- Build APIs, data models, and integration strategies from specifications- Generate tests and quality assurance workflows automatically- Maintain alignment between specifications, code, and operations- Establish governance, traceability, and compliance processes- Build AI-native engineering teams and workflows- Prepare for the future of autonomous software developmentWhether you are a software engineer, architect, technical lead, product manager, consultant, founder, or technology leader, this book provides a practical framework for designing and delivering software systems that are more predictable, maintainable, scalable, and aligned with business goals.The future of software engineering belongs to teams that can effectively collaborate with AI while maintaining clarity, control, and engineering discipline. Start building that future today and learn how specification-driven thinking can transform the way you design, develop, and deliver software. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Softcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Paperback. Condition: new. Paperback. Claude Code and AI Agents: Design Autonomous Systems, Build Multi-Agent Workflows, and Create Scalable AI Applications with Modern LLM Tools This book gives you a complete, practical path to building intelligent software powered by modern language models. It moves beyond simple prompts and s…hows you how to design systems that can plan, reason, act, and adapt in real environments.You will learn how to work with Claude-powered workflows and agent-based architectures from the ground up. The journey begins with a clear understanding of how AI agents operate, including how prompts, context, tools, and memory come together to produce reliable behavior. From there, you move into designing systems that can handle real tasks-retrieving information, interacting with APIs, coordinating multiple agents, and managing complex workflows.The book takes a hands-on approach throughout. You will build working applications step by step, including autonomous research assistants, multi-agent customer support systems, and intelligent workflow automation tools. Each example is designed to reflect real production scenarios so you can apply what you learn immediately.You will also gain a strong foundation in backend and frontend integration. This includes designing APIs for agent-driven systems, managing sessions and state, handling streaming responses, and creating user interfaces that feel responsive and trustworthy. Along the way, you will learn how to optimize performance, control costs, and scale your systems to handle real demand.Security, reliability, and responsible AI are treated as essential parts of the process. You will understand how to apply guardrails, validate inputs and outputs, monitor system behavior, and build applications that users can rely on.By the end of this book, you will not just understand how AI systems work-you will know how to design, build, and deploy them with confidence.If you are ready to move from experimenting with AI to building complete, production-ready systems that solve real problems, this book will guide you every step of the way. Start building intelligent systems that think, act, and scale-your next breakthrough application begins here. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
