Roop harold (35 resultados)

Taschenbuch. Condición: Neu. Neuware.

Taschenbuch. Condición: Neu. Neuware.

Taschenbuch. Condición: Neu. Neuware - AI Agent Projects with Python: Build Practical AI Assistants, Research Agents, Automation Tools, Multi-Agent Systems and Intelligent ApplicationsYou have learned some Python. You have tried AI APIs. Maybe you have even built a chatbot. But when it is time to build an AI agent that can actually use tools, remember information, research a topic, or complete a task, everything suddenly feels more complicated.Which tools should you use How do you connect an AI model to Python functions How does an agent know what action to take next How do you add memory, RAG, automation, or multiple agents without getting lost in confusing documentation and scattered tutorials AI Agent Projects with Python gives you a practical way forward. Instead of filling pages with theory, this book teaches AI agent development by helping you build working projects step by step. You start with the basic structure of an agent and gradually move toward more capable intelligent applications.Inside, you will learn how to build a Python AI assistant, connect language models to tools, manage conversation history, create structured responses, and handle common errors. You will work with Retrieval-Augmented Generation (RAG) to connect agents to external knowledge and add memory so they can preserve useful information across interactions.As your skills grow, you will build research agents, automation agents, data analysis agents, and multi-agent systems. You will see how specialized agents can share work, manage information, and cooperate on larger tasks. You will also bring tools, retrieval, memory, application state, and user interaction together in a more complete intelligent application.The practical examples show you what the code is doing and why it works. You will also learn important development habits that can save you from costly mistakes, including input validation, permissions, execution limits, error handling, human approval, and safe API key management. The book does not stop when your agent starts working. You will learn how to test, evaluate, secure, monitor, and prepare AI agent applications for production. Topics such as logging, tracing, failures, retries, rate limits, cost management, and reliability help you understand what it takes to move beyond a small experiment.You do not need to be an AI researcher. Basic Python knowledge is enough to get started, and important concepts are explained as they appear. The goal is not to make you copy large blocks of code without understanding them. It is to help you develop practical skills you can reuse in your own AI projects. AI agents are quickly becoming an important part of modern software development. Do not spend months jumping between tutorials and trying to piece everything together on your own.Get your copy of AI Agent Projects with Python today and start building practical AI agents one project at a time.…

Taschenbuch. Condición: Neu. Neuware.

Taschenbuch. Condición: Neu. Neuware.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Print on Demand.

Taschenbuch. Condición: Neu. Neuware - Mastering AI Observability: A Practical Guide to Monitoring, Evaluating, Debugging and Optimizing Production AI SystemsHave you ever deployed an AI application that looked perfect in testing, only to fail, slow down, hallucinate, or become expensive once real users started using it If you've spent hours digging through logs, searching online for answers, or trying to figure out why your AI system isn't behaving the way it should, you're not alone.Modern AI systems are powerful, but they can also be difficult to understand. A small change in a prompt, model, dataset, or retrieval pipeline can lead to inaccurate answers, higher costs, poor performance, or frustrated users. Most documentation explains how to build AI applications, but very little shows you how to keep them running reliably in production.Mastering AI Observability was written to solve that problem. This practical guide shows you how to monitor, evaluate, debug, and optimize production AI systems with confidence. Whether you're working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, or modern machine learning applications, you'll learn how to understand what's happening inside your AI systems and fix problems before they affect your users.Inside this book, you'll learn how to: - Build observable AI systems from the ground up- Collect and analyze logs, metrics, traces, and telemetry- Monitor LLMs, AI agents, and RAG applications in production- Detect hallucinations, model drift, latency issues, and performance bottlenecks- Use OpenTelemetry, OpenInference, and modern observability tools- Debug AI failures and perform root cause analysis- Track token usage, infrastructure health, and operational costs- Improve reliability, scalability, security, and user experienceYou'll also find step-by-step instructions, practical examples, real-world case studies, complete code samples, diagrams, dashboards, checklists, and best practices that make even complex observability concepts easy to understand and apply.Drawing on proven engineering practices and real production scenarios, the author explains each concept in clear, simple language that helps you move from theory to real-world implementation without feeling overwhelmed. Don't wait until hidden AI failures damage your application, increase your costs, or erode user trust. Learn how to monitor your AI systems the right way from the very beginning.Get your copy of Mastering AI Observability today and start building AI applications that are reliable, transparent, efficient and ready for production.…

Taschenbuch. Condición: Neu. Neuware.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Print on Demand.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Print on Demand.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Print on Demand.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condición: new. Paperback. Mastering Slow AI: Using Critical Thinking to Make Smarter Decisions About Artificial Intelligence Every DayAre you relying on AI more than you should, but still wondering if you can trust the answers it gives? Many people use AI every day without knowing when to trust it, when to question it, or when to think for themselves.Mastering Slow AI helps you use artificial intelligence with confidence and good judgment. Instead of blindly accepting AI-generated answers, you'll learn how to think critically, spot mistakes, verify information, and make smarter decisions at work, school, and in everyday life. The book explains when AI is the right tool, when it isn't, and how to combine AI with human thinking for better results. These themes are the foundation of the book's practical approach.Inside, you'll discover how AI works, where it falls short, how to avoid common mistakes, protect your privacy, prevent overdependence on AI, and build healthy habits that will remain valuable as technology continues to evolve. You'll also find step-by-step guidance, real-world examples, practical checklists, and easy-to-follow explanations that make even complex ideas simple to understand.Written using practical, tested principles, this book is designed for students, professionals, business owners, educators, and anyone who wants to use AI wisely instead of blindly.AI is changing the way we live and work every day. Don't wait until bad decisions become costly. Get your copy of Mastering Slow AI today and learn how to think first, verify wisely, and make better decisions with artificial intelligence. 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. Condición: new. Paperback. Building AI agents is one thing. Getting those agents to understand each other and work together reliably is where the frustration often begins.You may have agents that work perfectly on their own, yet connecting them creates a mess of custom APIs, mismatched message formats, unclear task states, failed integrations, and security concerns. You search through documentation, jump between examples, and spend hours trying to understand Agent Cards, messages, tasks, artifacts, discovery, and remote agents. The more agents you add, the harder those custom connections can become. That is exactly the problem the Agent2Agent (A2A) Protocol is designed to address.A2A Protocol Engineering gives you a practical path from understanding the protocol to building interoperable AI agent systems. Instead of treating A2A as a collection of confusing specifications and fields, the book shows you how its pieces fit together during real agent communication. You will learn how independent agents can discover each other, exchange information, delegate work, track progress, and return useful results without sharing the same internal framework or architecture.Inside the book, you will learn how to: Understand A2A architecture and agent-to-agent communicationBuild and use Agent Cards for agent discovery and capability sharingExchange messages, structured data, and other contentCreate, manage, track, cancel, and recover A2A tasksWork with artifacts produced by remote agentsHandle streaming, asynchronous work, and longer-running operationsDesign multi-agent workflows with delegation and coordinationApply authentication, authorization, access control, and trust boundariesUnderstand how A2A, MCP, APIs, and agent frameworks work togetherTest, debug, monitor, deploy, and scale A2A-based systemsThe explanations use clear language and practical examples, so you can understand not only what each A2A feature does but why and when you need it. The book takes you from discovery and basic communication through task handling, artifacts, security, multiple agents, and production deployment. You will also work toward a complete multi-agent project that brings the major concepts together. You will connect multiple agents, delegate work, exchange messages, manage tasks, process artifacts, apply security controls, test the workflow, and prepare the system for deployment.Whether you are an AI developer, software engineer, backend developer, platform engineer, software architect, or security engineer, this book will help you move beyond isolated AI assistants and understand how independently built agents can cooperate through a shared protocol. You do not need to be an expert in AI or distributed systems to begin. Basic programming experience is enough to follow the practical material.A2A is evolving alongside the wider AI agent ecosystem. Waiting until interoperable agent systems become commonplace means learning these ideas when you already need them in production. Start building the foundation now.Get your copy of A2A Protocol Engineering today and learn how to build AI agents that can discover, communicate, collaborate and work together reliably. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…