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{ "item_title" : "Reliable Generative AI Systems", "item_author" : [" Alira Vexel "], "item_description" : "Reliable Generative AI SystemsArchitecting Secure, Scalable, and Ethical LLM Solutions with LangChain, LangGraph & BeyondUnlock the full potential of Generative AI and Large Language Models (LLMs) with the ultimate technical guide for developers, AI architects, and machine learning engineers building production-grade, reliable, and secure AI systems.This book is your complete blueprint to designing, deploying, and managing scalable AI applications using cutting-edge frameworks including LangChain, LangGraph, LlamaIndex, Haystack, DSPy, and AutoGen. Whether you're building Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestration systems, or enterprise AI workflows, this guide delivers purely practical, code-driven methodologies from start to finish.What You'll Master Inside:Engineering reliable, fault-tolerant AI architecturesBuilding advanced RAG pipelines that minimize hallucinationsImplementing multi-agent AI systems with LangGraph and AutoGenDesigning for security, privacy, and compliance (OWASP, GDPR, HIPAA, EU AI Act)Deploying AI with Infrastructure-as-Code (Terraform, Kubernetes, Docker)Continuous evaluation with AutoEval, regression testing, and CI/CD pipelinesImplementing observability, monitoring, and self-healing AI pipelinesEthical AI frameworks for bias detection, explainability, and sustainabilityBonus Appendices & Resources:AI Security Cheat Sheet (OWASP LLM Risks & Mitigations)Production-Ready Prompt Engineering TemplatesObservability & Monitoring Setup ScriptsEthical AI & Governance ChecklistsCI/CD Infrastructure Templates for Prompts & ModelsGlossary of Key AI, LLM, and MLOps TermsWho This Book is For:AI/ML Developers deploying LLMs in productionMLOps Engineers implementing scalable AI pipelinesData Scientists transitioning to enterprise-grade AI systemsTechnical Architects designing secure, compliant AI infrastructuresIf you want to future-proof your AI systems, deploy enterprise-grade, ethical, and performant LLM applications, and stay ahead in the fast-evolving AI landscape - this book is your indispensable guide.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/829/822/9798298221863_b.jpg", "price_data" : { "retail_price" : "24.99", "online_price" : "24.99", "our_price" : "24.99", "club_price" : "24.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Reliable Generative AI Systems|Alira Vexel

Reliable Generative AI Systems : Architecting Secure, Scalable, and Ethical LLM Systems with LangChain, LangGraph & Open Frameworks

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Overview

Reliable Generative AI Systems
Architecting Secure, Scalable, and Ethical LLM Solutions with LangChain, LangGraph & Beyond

Unlock the full potential of Generative AI and Large Language Models (LLMs) with the ultimate technical guide for developers, AI architects, and machine learning engineers building production-grade, reliable, and secure AI systems.

This book is your complete blueprint to designing, deploying, and managing scalable AI applications using cutting-edge frameworks including LangChain, LangGraph, LlamaIndex, Haystack, DSPy, and AutoGen. Whether you're building Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestration systems, or enterprise AI workflows, this guide delivers purely practical, code-driven methodologies from start to finish.

What You'll Master Inside:

  • Engineering reliable, fault-tolerant AI architectures
  • Building advanced RAG pipelines that minimize hallucinations
  • Implementing multi-agent AI systems with LangGraph and AutoGen
  • Designing for security, privacy, and compliance (OWASP, GDPR, HIPAA, EU AI Act)
  • Deploying AI with Infrastructure-as-Code (Terraform, Kubernetes, Docker)
  • Continuous evaluation with AutoEval, regression testing, and CI/CD pipelines
  • Implementing observability, monitoring, and self-healing AI pipelines
  • Ethical AI frameworks for bias detection, explainability, and sustainability

Bonus Appendices & Resources:

  • AI Security Cheat Sheet (OWASP LLM Risks & Mitigations)
  • Production-Ready Prompt Engineering Templates
  • Observability & Monitoring Setup Scripts
  • Ethical AI & Governance Checklists
  • CI/CD Infrastructure Templates for Prompts & Models
  • Glossary of Key AI, LLM, and MLOps Terms

Who This Book is For:

  • AI/ML Developers deploying LLMs in production
  • MLOps Engineers implementing scalable AI pipelines
  • Data Scientists transitioning to enterprise-grade AI systems
  • Technical Architects designing secure, compliant AI infrastructures

If you want to future-proof your AI systems, deploy enterprise-grade, ethical, and performant LLM applications, and stay ahead in the fast-evolving AI landscape - this book is your indispensable guide.

This item is Non-Returnable

Details

  • ISBN-13: 9798298221863
  • ISBN-10: 9798298221863
  • Publisher: Independently Published
  • Publish Date: August 2025
  • Dimensions: 11 x 8.5 x 0.85 inches
  • Shipping Weight: 2.11 pounds
  • Page Count: 416

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