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{ "item_title" : "Building Agentic Systems", "item_author" : [" Luca Ferrante", "Elara Voss", "Shivani Sharma "], "item_description" : "AI is no longer limited to answering prompts. The next generation of intelligent systems can reason, plan, use tools, collaborate with other agents, and execute complex tasks autonomously. These systems are transforming software development, enterprise automation, customer operations, research, cybersecurity, and decision-making at scale. This is the era of Agentic AI. But building production-grade autonomous AI systems is far more difficult than building simple AI demos. Most AI agents fail outside controlled environments because they lack reliability, memory, observability, safety controls, and scalable architecture. BUILDING AGENTIC SYSTEMS is a practical, production-first guide to designing, deploying, and scaling autonomous AI systems that actually work in real-world environments. Written for developers, AI engineers, architects, technical leaders, and serious AI builders, this book bridges the gap between experimental AI projects and enterprise-grade autonomous systems.What You'll LearnFoundations of Agentic AIWhat makes AI systems truly agenticThe difference between reactive AI and autonomous agentsPlanning, reasoning, memory, and decision-making architecturesMulti-agent collaboration and orchestration modelsBuilding Production-Ready AI AgentsDesign autonomous systems using LangChain, LlamaIndex, AutoGen, and modern agent frameworksImplement Retrieval-Augmented Generation (RAG)Create long-term memory systems and tool-using agentsBuild multi-step reasoning and task execution pipelinesAgent Reliability & Safety EngineeringReduce hallucinations and unreliable outputsImplement guardrails and human oversight systemsDesign monitoring, tracing, and observability pipelinesBuild secure and controllable autonomous AI workflowsScaling Autonomous Systems in ProductionDeploy scalable AI infrastructureDesign event-driven agent architecturesImplement API orchestration and agent communication systemsOptimize performance, latency, and operational costAdvanced Agentic AI SystemsAI agents for coding, research, customer service, and automationMulti-agent collaboration systemsAdaptive and self-improving AI workflowsThe future of autonomous AI, robotics, and multimodal intelligenceWhy This Book Is DifferentMost AI books focus on hype, theory, or simplistic demos. This book focuses on production-ready AI engineering. Inside, you'll find:Real-world architecture patternsDeployment strategies used in production systemsPractical implementation guidanceFailure scenarios and debugging techniquesEnterprise AI design principlesScalable frameworks for autonomous agentsThe goal is not just to help you build AI agents that look impressive in demos - but systems that operate reliably, safely, and autonomously at scale.Who This Book Is ForAI Engineers and Machine Learning PractitionersSoftware Developers and ArchitectsData Scientists and Automation EngineersTechnical Product Managers and CTOsStartup Founders and Enterprise Innovation TeamsAnyone serious about building the future of autonomous AINo advanced research background is required. If you understand software systems and want to master the next evolution of AI engineering, this book will give you the frameworks, architecture patterns, and operational knowledge to do it.The future belongs to intelligent systems that can think, plan, act, adapt, and collaborate autonomously. BUILDING AGENTIC SYSTEMS gives you the roadmap to build them.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/819/631/9798196315558_b.jpg", "price_data" : { "retail_price" : "250.00", "online_price" : "250.00", "our_price" : "250.00", "club_price" : "250.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Building Agentic Systems|Luca Ferrante

Building Agentic Systems : Designing Autonomous AI That Actually Works in Production

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Overview

AI is no longer limited to answering prompts. The next generation of intelligent systems can reason, plan, use tools, collaborate with other agents, and execute complex tasks autonomously. These systems are transforming software development, enterprise automation, customer operations, research, cybersecurity, and decision-making at scale. This is the era of Agentic AI. But building production-grade autonomous AI systems is far more difficult than building simple AI demos. Most AI agents fail outside controlled environments because they lack reliability, memory, observability, safety controls, and scalable architecture. BUILDING AGENTIC SYSTEMS is a practical, production-first guide to designing, deploying, and scaling autonomous AI systems that actually work in real-world environments. Written for developers, AI engineers, architects, technical leaders, and serious AI builders, this book bridges the gap between experimental AI projects and enterprise-grade autonomous systems.What You'll LearnFoundations of Agentic AI

  • What makes AI systems truly agentic
  • The difference between reactive AI and autonomous agents
  • Planning, reasoning, memory, and decision-making architectures
  • Multi-agent collaboration and orchestration models
Building Production-Ready AI Agents
  • Design autonomous systems using LangChain, LlamaIndex, AutoGen, and modern agent frameworks
  • Implement Retrieval-Augmented Generation (RAG)
  • Create long-term memory systems and tool-using agents
  • Build multi-step reasoning and task execution pipelines
Agent Reliability & Safety Engineering
  • Reduce hallucinations and unreliable outputs
  • Implement guardrails and human oversight systems
  • Design monitoring, tracing, and observability pipelines
  • Build secure and controllable autonomous AI workflows
Scaling Autonomous Systems in Production
  • Deploy scalable AI infrastructure
  • Design event-driven agent architectures
  • Implement API orchestration and agent communication systems
  • Optimize performance, latency, and operational cost
Advanced Agentic AI Systems
  • AI agents for coding, research, customer service, and automation
  • Multi-agent collaboration systems
  • Adaptive and self-improving AI workflows
  • The future of autonomous AI, robotics, and multimodal intelligence
Why This Book Is DifferentMost AI books focus on hype, theory, or simplistic demos. This book focuses on production-ready AI engineering. Inside, you'll find:
  • Real-world architecture patterns
  • Deployment strategies used in production systems
  • Practical implementation guidance
  • Failure scenarios and debugging techniques
  • Enterprise AI design principles
  • Scalable frameworks for autonomous agents
The goal is not just to help you build AI agents that look impressive in demos - but systems that operate reliably, safely, and autonomously at scale.Who This Book Is For
  • AI Engineers and Machine Learning Practitioners
  • Software Developers and Architects
  • Data Scientists and Automation Engineers
  • Technical Product Managers and CTOs
  • Startup Founders and Enterprise Innovation Teams
  • Anyone serious about building the future of autonomous AI
No advanced research background is required. If you understand software systems and want to master the next evolution of AI engineering, this book will give you the frameworks, architecture patterns, and operational knowledge to do it.
The future belongs to intelligent systems that can think, plan, act, adapt, and collaborate autonomously. BUILDING AGENTIC SYSTEMS gives you the roadmap to build them.

This item is Non-Returnable

Details

  • ISBN-13: 9798196315558
  • ISBN-10: 9798196315558
  • Publisher: Independently Published
  • Publish Date: May 2026
  • Dimensions: 11 x 8.5 x 1.08 inches
  • Shipping Weight: 2.7 pounds
  • Page Count: 534

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