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SKU/Artículo: AMZ-B0G7C39GK3
AI Agent Development: Engineering AI Agents with Python & JavaScript: Designing, Building, Deploying, and Scaling Intelligent AI Systems
Format:
Audiobook
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.97 kg
0.97 kg
Devolución:
No
No
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- AI Agent DevelopmentDesigning, Building, Deploying & Scaling Intelligent AI SystemsAI is moving beyond chatbots. The next generation of intelligent systems is built around AI agents—software components that can reason, use tools, maintain memory, and operate reliably inside real-world applications.AI Agent Development is a practical, engineering-focused guide for developers and technical professionals who want to design and deploy production-grade AI agents—not demos or experiments.This book treats AI agents as software systems, emphasizing architecture, control, safety, and long-term maintainability. It goes beyond prompt engineering to show how agents are structured, integrated, monitored, and governed in modern software environments.What You’ll LearnWhat AI agents are and how they differ from chatbots and workflowsHow large language models function as reasoning enginesCore agent components: prompts, memory, tools, planning, and controlProven architecture patterns for reliable agent behaviorHow to build real agents, including automation, research, coding, and multi-agent systemsWhen to use agent frameworks—and when not toDeployment, scaling, cost control, monitoring, and loggingSafety, guardrails, ethics, and responsible agent designAdvanced orchestration, autonomous workflows, and future trendsWho This Book Is ForSoftware engineers and developersSystems and platform engineersAI practitioners and technical leadsArchitects integrating AI into existing systemsA basic programming background is recommended. No advanced machine learning experience is required.Why This Book Is DifferentMost AI books focus on models or prompt tricks. This book focuses on engineering discipline—how to build AI agents that are controlled, observable, auditable, and safe to run in production.If you want to move from experimentation to real-world AI agent systems, this book provides the structure, patterns, and practical guidance to do it right.
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