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AI Forward Deployed Engineering: From LLMs to Production
Turn AI prototypes into production-ready enterprise solutions.
AI Forward Deployed Engineering is a practical, hands-on guide to building, deploying, and scaling enterprise AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, AWS, and Azure.
Through a structured 6-week learning roadmap, this book covers LLM engineering, enterprise RAG architectures, AI agents, MCP, multi-agent orchestration, cloud deployment, LLMOps, security, governance, and production reliability.
Readers will learn to design intelligent AI applications, integrate enterprise systems, automate business workflows, and deliver measurable business value through real-world examples, architecture patterns, and hands-on projects.
Written for AI Engineers, Forward Deployed Engineers, Solution Architects, Developers, and Technical Product Managers, this book bridges the gap between AI experimentation and enterprise-scale implementation.
Go beyond AI demos. Build, deploy, and deliver AI systems that work in production.
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