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About the Book

Getting Started with Azure AI + RAG is your practical, hands‑on guide to building intelligent, context‑aware applications using Microsoft’s cloud‑hosted AI services. Whether you’re an experienced developer or new to large language models, you’ll learn how to ingest and process documents (PDFs, Word files, and more), generate semantic embeddings with Azure OpenAI, index them in Azure Cognitive Search, and retrieve relevant knowledge at query time to power more accurate, grounded responses. Packed with clear explanations, best practices, and ready‑to‑run Python and JavaScript examples, this guide equips you to deploy your first Retrieval‑Augmented Generation (RAG) pipeline end‑to‑end—and unlock the full potential of AI‑driven search and conversational applications.


About the Author

Kam Nazridoust’s avatar Kam Nazridoust

I'm Kam, an engineering leader and full-stack developer with a Ph.D. in Mechanical Engineering from Clarkson University and over 16 years of experience building cutting-edge AI/ML and cloud-native applications. My technical expertise spans LLMs, Retrieval-Augmented Generation (RAG), cloud platforms like AWS and Azure, and full-stack development in Python, C#, and JavaScript.

I'm the creator of the SimuTech Skills Center—an online training platform that has become a revenue-generating hub and a go-to resource for engineers worldwide. I’ve also led the development of AI copilots and tools used across engineering, sales, and HR teams, transforming workflows and boosting productivity.

Beyond the code, I’m passionate about education, continuous learning, and mentorship. With a strong foundation in research and applied engineering, I bring both academic depth and real-world experience to every project and conversation. Whether you're exploring AI, software architecture, or looking to grow your technical career, I’m here to support and guide you.

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