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, ...
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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 .
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