What if your software could think ahead, make decisions, and execute complex tasks - without constant human input? What if you could build systems that don’t just respond, but act with purpose?
AI is no longer limited to chatbots and simple automation. Today’s most powerful systems are autonomous agents capable of reasoning, using tools, collaborating, and solving real-world business problems. The challenge is knowing how to design them properly, scale them reliably, and make them safe in production.
This book gives you a clear, practical path to building intelligent AI agents from the ground up.
You’ll learn how to design systems that combine large language models, workflows, memory, and external tools into cohesive, production-ready applications. From vector databases and semantic search to multi-agent coordination and real-world deployment, this guide walks you through the architecture, patterns, and decisions that matter.
By the end of this book, you will be able to:
Whether you're a developer, backend engineer, AI enthusiast, or technical founder, this book equips you with the skills to create systems that go beyond traditional software - systems that think, adapt, and deliver measurable impact.
The future of software is autonomous, intelligent, and agent-driven.
Get your copy now and start building AI systems that work, decide, and deliver at scale.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. Print on Demand. N° de réf. du vendeur I-9798254407713
Quantité disponible : Plus de 20 disponibles
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. What if your software could think ahead, make decisions, and execute complex tasks - without constant human input? What if you could build systems that don't just respond, but act with purpose?AI is no longer limited to chatbots and simple automation. Today's most powerful systems are autonomous agents capable of reasoning, using tools, collaborating, and solving real-world business problems. The challenge is knowing how to design them properly, scale them reliably, and make them safe in production.This book gives you a clear, practical path to building intelligent AI agents from the ground up.You'll learn how to design systems that combine large language models, workflows, memory, and external tools into cohesive, production-ready applications. From vector databases and semantic search to multi-agent coordination and real-world deployment, this guide walks you through the architecture, patterns, and decisions that matter.By the end of this book, you will be able to: Build autonomous AI agents that plan, reason, and execute multi-step tasksDesign scalable architectures for real-world AI applicationsIntegrate APIs, tools, and data sources into intelligent workflowsImplement semantic search and knowledge retrieval systemsDevelop multi-agent systems that collaborate effectivelyMonitor, debug, and improve AI system reliability in productionApply security, guardrails, and governance to ensure safe AI behaviorDeploy and scale AI agents for business automation and decision-makingWhether you're a developer, backend engineer, AI enthusiast, or technical founder, this book equips you with the skills to create systems that go beyond traditional software - systems that think, adapt, and deliver measurable impact.The future of software is autonomous, intelligent, and agent-driven.Get your copy now and start building AI systems that work, decide, and deliver at scale. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798254407713
Quantité disponible : 1 disponible(s)
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. What if your software could think ahead, make decisions, and execute complex tasks - without constant human input? What if you could build systems that don't just respond, but act with purpose?AI is no longer limited to chatbots and simple automation. Today's most powerful systems are autonomous agents capable of reasoning, using tools, collaborating, and solving real-world business problems. The challenge is knowing how to design them properly, scale them reliably, and make them safe in production.This book gives you a clear, practical path to building intelligent AI agents from the ground up.You'll learn how to design systems that combine large language models, workflows, memory, and external tools into cohesive, production-ready applications. From vector databases and semantic search to multi-agent coordination and real-world deployment, this guide walks you through the architecture, patterns, and decisions that matter.By the end of this book, you will be able to: Build autonomous AI agents that plan, reason, and execute multi-step tasksDesign scalable architectures for real-world AI applicationsIntegrate APIs, tools, and data sources into intelligent workflowsImplement semantic search and knowledge retrieval systemsDevelop multi-agent systems that collaborate effectivelyMonitor, debug, and improve AI system reliability in productionApply security, guardrails, and governance to ensure safe AI behaviorDeploy and scale AI agents for business automation and decision-makingWhether you're a developer, backend engineer, AI enthusiast, or technical founder, this book equips you with the skills to create systems that go beyond traditional software - systems that think, adapt, and deliver measurable impact.The future of software is autonomous, intelligent, and agent-driven.Get your copy now and start building AI systems that work, decide, and deliver at scale. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798254407713
Quantité disponible : 1 disponible(s)