Azure OpenAI Service for Cloud Native Applications

Get the details, examples, and best practices you need to build generative AI applications, services, and solutions using the power of Azure OpenAI Service. With this comprehensive guide, Microsoft AI specialist Adrián González Sánchez examines the integration and utilization of Azure OpenAI Service—using powerful generative AI models such as GPT-4 and GPT-4o—within the Microsoft Azure cloud computing platform.

To guide you through the technical details of using Azure OpenAI Service, this book shows you how to set up the necessary Azure resources, prepare end-to-end architectures, work with APIs, manage costs and usage, handle data privacy and security, and optimize performance. You’ll learn various use cases where Azure OpenAI Service models can be applied, and get valuable insights from some of the most relevant AI and cloud experts.

Ideal for software and cloud developers, product managers, architects, and engineers, as well as cloud-enabled data scientists, this book will help you:

• Learn how to implement cloud native applications with Azure OpenAI Service
• Deploy, customize, and integrate Azure OpenAI Service with your applications
• Customize large language models and orchestrate knowledge with company-owned data
• Use advanced roadmaps to plan your generative AI project
• Estimate cost and plan generative AI implementations for adopter companies

Table of Contents

Chapter 1. Introduction to Generative Al and Azure OpenAI Service

Chapter 2. Designing Cloud Native Architectures for Generative Al

Chapter 3. Implementing Cloud Native Generative Al with Azure OpenAI Service

Chapter 4. Additional Cloud and Al Capabilities

Chapter 5. Operationalizing Generative Al Implementations

Chapter 6. Elaborating Generative Al Business Cases

Chapter 7. Exploring the Big Picture

Appendix. Other Learning Resources

About the Author

Adrián González Sánchez is a senior cloud, data, and AI specialist at Microsoft, as well as the industrial AI lead for the Spanish Observatory of Ethical AI (OdiseIA). He has previously worked as a senior consultant and product owner in AI and data science with CGI Canada and IVADO Labs, head of AI customer success for Peritus.ai, and other data-driven companies in Europe and Latin America.

He is a trainer for the École des Dirigeants at HEC Montréal, the Continuing Education Department at Concordia University, and online training courses for O’Reilly Media and the Linux Foundation. He also collaborates with 2U/GetSmarter as a tutor and facilitator for MIT Sloan’s AI and blockchain executive courses, and Harvard VPAL’s fintech course.

His areas of expertise are AI strategy and project management, responsible AI systems implementation, big data and cloud computing, data and AI governance, ethical and regulatory impact of technological innovation, telecommunications, and the Internet of Things.