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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condición: new. Paperback. Have you tried building AI agents only to end up with chatbots that break after a few interactions?Do frameworks like LangGraph, CrewAI, and MCP seem powerful-but difficult to connect into real working systems?Are you overwhelmed by tutorials that explain concepts but never show how to build complete, production-ready automation projects?Do you feel stuck between basic prompt engineering and creating intelligent systems that can plan, reason, remember, and take action?If so, you're not alone.AI agents are transforming how businesses automate research, customer support, document processing, sales operations, workflow orchestration, and knowledge retrieval. Yet most learning resources leave a frustrating gap between understanding the concepts and building systems that actually work.Some focus only on prompting.Others present isolated code snippets.Many stop at simple chatbots that never evolve into practical automation solutions.This book bridges that gap.Using Python and today's leading agent frameworks, you'll progress from core concepts to building intelligent systems capable of planning, memory management, retrieval, tool integration, workflow orchestration, and multi-agent collaboration.You'll move: From experimenting with prompts to engineering intelligent agent systemsFrom disconnected tutorials to complete automation workflowsFrom framework confusion to confidently building production-ready agentsFrom simple chatbot interactions to autonomous systems that reason, remember, and take actionInside, you'll learn how to: Build AI agents with Python from the ground upDesign structured workflows using LangGraphCoordinate collaborative agent teams with CrewAIConnect external tools and services through MCPBuild retrieval-augmented knowledge systemsDevelop multi-agent architectures for complex tasksEvaluate, optimize, monitor, and deploy production-ready agent applicationsLearning is reinforced through 20 real-world automation projects, including: Research assistantsCustomer support agentsKnowledge retrieval systemsWorkflow automation solutionsContent production pipelinesCRM and sales automationBusiness intelligence assistantsDocument processing workflowsMulti-agent collaboration platformsEach project develops practical engineering skills while teaching you how to troubleshoot failures, improve reliability, optimize performance, and make sound architectural decisions.Unlike many competing books, this guide goes beyond building agents to cover the topics that determine whether a prototype becomes a dependable production system, including: Memory architecturesWorkflow orchestrationTool integrationMulti-agent communicationProduction deploymentPerformance optimizationCost controlEvaluation frameworksOperational best practicesWhether you're a complete beginner, a Python developer, an automation engineer, or a consultant building intelligent business solutions, this book provides a structured, project-driven path toward real competence.No shallow prompt tricks.No fragile chatbot demos.No endless theory without implementation.Just practical instruction designed to help you build intelligent systems that solve real problems.If you've been searching for the guide that finally bridges the gap between learning about AI agents and actually building them, you've Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

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