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Artículo: AMZ-B0FFTJ4WDM

Crew AI for Agentic Workflow: Build Task-Oriented Autonomous Agents with Python and CrewAI

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Paperback

Kindle

Paperback

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En stock

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0.71 kg

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Sí

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Nuevo

Producto de
Amazon

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USA

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Agentic AI is transforming how we build intelligent automation—replacing rigid pipelines with dynamic, autonomous, and goal-driven agents. CrewAI, a lightweight but powerful Python framework, enables developers to design modular multi-agent systems where each “agent” performs specialized tasks using tools, memory, planning, and even inter-agent communication. This technology forms the foundation of AI-native applications for business automation, knowledge workflows, autonomous copilots, and Retrieval-Augmented Generation (RAG) systems.Written by an expert in AI automation and agentic systems development, this guide distills real-world best practices, proven architectures, and actionable strategies from industry deployments of LLM-driven agents. It combines deep technical insight with hands-on experience building production-grade workflows using CrewAI, LangChain, LlamaIndex, and n8n—providing both clarity and confidence to developers and teams building next-gen AI systems.Crew AI for Agentic Workflow is a practical, step-by-step guide to designing, building, and deploying autonomous task-oriented agents using the CrewAI framework. Covering everything from basic crew setup to advanced concepts like Human-in-the-Loop (HITL), failure handling, multi-agent planning, and secure deployment, this book is your complete blueprint for building intelligent, explainable, and highly modular AI automation pipelines.Whether you’re integrating LLMs with custom tools, implementing RAG with vector databases, or coordinating agent workflows for content generation, research, or business logic—this book has you covered.Fundamentals of task-based agent design using CrewAIAdding tools like PythonREPL, FileTools, and external API connectorsOrchestrating agents with planners, retries, timeouts, and failoverBuilding dynamic workflows with LangChain, LlamaIndex, and n8nReal-world use cases: Content generation, customer support, research assistantsVector database integration and RAG for knowledge-grounded responsesObservability, debugging, logging, and prompt testingSecurity, ethical AI, human oversight, and fail-safe deploymentAppendices with CLI commands, glossary, YAML templates, and troubleshooting guideThis book is written for AI engineers, Python developers, automation architects, and data professionals who want to move beyond static prompt chains and build adaptive, reusable, agent-based systems. If you're building autonomous AI assistants, business automation tools, or LLM-powered knowledge agents, this book will give you the structure, patterns, and tools to succeed—regardless of whether you’re working solo or within an enterprise team.Skip months of trial-and-error. With this book, you’ll accelerate your understanding of CrewAI and agent orchestration in just days—not weeks. Each chapter builds on the last, guiding you from foundational knowledge to advanced real-world integration with hands-on structure and clarity.Ready to build intelligent agentic systems that think, decide, and act—autonomously? Buy Crew AI for Agentic Workflow now and become part of the next wave of developers shaping the future of AI-powered automation. Optimize your workflows, build smarter tools, and deploy autonomous agents with confidence—today.

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$61,16

55% OFF

$27,80

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