LLMOps and AI Operations

LLMOps and AI Operations is a practical, hands-on guide that teaches you how to build, deploy, monitor, secure, optimize, and operate production-ready AI systems powered by Large Language Models (LLMs). Whether you're creating intelligent chatbots, Retrieval-Augmented Generation (RAG) applications, AI agents, or enterprise AI platforms, you'll learn the engineering practices used to transform AI prototypes into reliable, scalable, and maintainable production systems.Rather than focusing only on prompting models, this book takes you through the complete lifecycle of operating modern AI applications. You'll learn how to design robust AI architectures, deploy models using containers and Kubernetes, build enterprise RAG systems, implement AI agents with tool calling and the Model Context Protocol (MCP), monitor performance with observability platforms, automate deployments through CI/CD pipelines, optimize GPU usage and inference costs, strengthen AI security, and continuously evaluate quality in production.Inside this book, you'll discover how to: - Understand the complete LLMOps lifecycle from development to production- Build reliable AI applications with Large Language Models- Design and deploy scalable Retrieval-Augmented Generation (RAG) systems- Create intelligent AI agents with tool calling, workflows, memory, and MCP- Deploy AI services using Docker, Kubernetes, cloud platforms, and modern infrastructure- Monitor AI applications with metrics, logs, traces, and observability tools- Evaluate model quality, detect hallucinations, and improve response reliability- Secure AI systems against prompt injection, data leakage, and unauthorized access- Implement CI/CD pipelines, versioning, testing, and automated rollbacks- Optimize latency, throughput, GPU utilization, and operational costs- Build production-ready AI chatbots, enterprise RAG platforms, and autonomous AI agent systems through complete real-world projects- Prepare for emerging trends in AI infrastructure, autonomous operations, and next-generation production AIThe future of artificial intelligence belongs to organizations that can reliably operate AI in production not just experiment with it. The demand for professionals who understand LLMOps, AI infrastructure, observability, RAG, AI agents, and production AI engineering continues to grow across every industry.Don't wait until production problems become expensive lessons. Start building the skills that modern AI teams need. Get your copy of LLMOps and AI Operations today and learn how to design, deploy, monitor, secure, optimize, and scale production AI systems with confidence.