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Azure OpenAI in Practice: Deploy Advanced Generative AI Models That Boost Productivity, Automate Workflows, and Enhance Customer Experience
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Publisher: Independently Published
Published: Nov 27 2025
Pages: 202
Weight: 0.79
Height: 0.43 Width: 7.00 Depth: 10.00
Language: English
Azure OpenAI in Practice: Deploy Advanced Generative AI Models That Boost Productivity, Automate Workflows, and Enhance Customer Experience
Organizations everywhere are racing to integrate generative AI, yet many hit the same wall: early prototypes impress, but real production systems stall under security constraints, unclear architectures, high costs, and inconsistent model performance. Teams want transformation, but they need a reliable, practical way to deliver it.
Azure OpenAI in Practice gives you that path. This book shows how to build generative AI solutions that actually work at enterprise scale, securely, predictably, and with measurable impact. You'll see how Azure OpenAI blends powerful GPT-model capabilities with the governance, compliance, and operational maturity businesses demand. Through clear explanations and real-world patterns, you'll learn how to architect end-to-end systems that improve productivity, automate workflows, and elevate customer experience.
Engineers, architects, and AI leaders gain a complete playbook for deploying and maintaining production-ready AI. Whether you're building an intelligent chatbot, a document-analysis pipeline, a code-generation assistant, or full automation frameworks, this guide shows how to do it correctly from day one.
Inside this book, you will learn how to:
- Deploy Azure OpenAI models using secure, enterprise-grade patterns
- Build high-accuracy Retrieval-Augmented Generation (RAG) systems
- Design effective prompts and context strategies for consistent output
- Construct multimodal solutions that analyze text, images, and documents
- Integrate generative AI into APIs, microservices, CI/CD pipelines, and business systems
- Monitor drift, measure quality, and implement responsible-AI controls
- Optimize performance using caching, fallback models, and token-budgeting
- Prepare architectures for emerging trends such as larger context windows, agent orchestration, and self-improving systems
If your organization wants real productivity gains, smoother workflows, and smarter customer experiences, this book delivers the clarity and practical guidance to make it happen.
Take the next step, equip yourself with the roadmap to build generative AI systems that deliver results. Get your copy of Azure OpenAI in Practice and lead the transformation.
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