Title: Azure OpenAI Essentials: A practical guide to unlocking generative AI-powered innovation with Azure OpenAI
Publisher: Packt Publishing
Publication Date: 2025
Language: English
ISBN 10: 1805125060
ISBN 13: 9781805125068
Binding: Soft cover
Condition: New

About this title

Synopsis

Build innovative, scalable, and ethical AI solutions by harnessing the full potential of generative AI with this exhaustive guide

Key Features

Explore the capabilities of Azure OpenAI’s LLMs
Craft end-to-end applications by utilizing the synergy of Azure OpenAI and Cognitive Services
Design enterprise-grade GenAI solutions with effective prompt engineering, fine-tuning, and AI safety measures
Purchase of the print or Kindle book includes a free PDF eBook

Book Description

Find out what makes Azure OpenAI a robust platform for building AI-driven solutions that can transform how businesses operate. Written by seasoned experts from Microsoft, this book will guide you in understanding Azure OpenAI from fundamentals through to advanced concepts and best practices.

The book begins with an introduction to large language models (LLMs) and the Azure OpenAI Service, detailing how to access, use, and optimize its models. You'll learn how to design and implement AI-driven solutions, such as question-answering systems, contact center analytics, and GPT-powered search applications. Additionally, the chapters walk you through advanced concepts, including embeddings, fine-tuning models, prompt engineering, and building custom AI applications using LangChain and Semantic Kernel. You'll explore real-world use cases such as QnA systems, document summarizers, and SQLGPT for database querying, as well as gain insights into securing and operationalizing these solutions in enterprises.

By the end of this book, you'll be ready to design, develop, and deploy scalable AI solutions, ensuring business success through intelligent automation and data-driven insights.

What you will learn

Understand the concept of large language models and their capabilities
Interact with different models in Azure OpenAI using APIs or web interfaces
Use content filters and mitigations to prevent harmful content generation
Develop solutions with Azure OpenAI for content generation, summarization, semantic search, NLU, code and image generation and analysis
Integrate Azure OpenAI with other Azure Cognitive services for enhanced functionality
Apply best practices for data privacy, security, and prompt engineering with Azure OpenAI

Who this book is for

This book is for software developers, data scientists, AI engineers, ML engineers, system architects, LLM engineers, IT professionals, product managers, and business professionals who want to learn how to use Azure OpenAI to create innovative solutions with generative AI. To fully benefit from this book, you must have both an Azure subscription and Azure OpenAI access, along with knowledge of Python.

Introduction to Large Language Models
Azure OpenAI Fundamentals
Azure OpenAI Advanced Topics
Developing an Enterprise Document Question-Answer Solution
Building Contact Center Analytics
Querying from a Structured Database
Code Generation and Documentation
Creating a Basic Recommender Solution with Azure OpenAI
Transforming Text to Video
Creating a Multimodal Multi-Agent Framework with the Azure OpenAI Assistant API
Privacy and Security
Operationalizing Azure OpenAI
Advanced Prompt Engineering

About the Author

Amit Mukherjee, a GenAI Technical Specialist at Microsoft, applies AI to revolutionize healthcare by enhancing patient care and driving innovation. With expertise in data & AI, he designs systems that empower data-driven decisions and leads teams in creating generative AI solutions tailored for the healthcare industry.

Adithya Saladi is a Software Engineer on Microsoft's Azure Reliability team, has over eight years of experience in building scalable software solutions. He collaborates across teams to deliver innovative, business-critical applications. Adithya also founded GreenOccasion, a non-profit focused on reducing carbon emissions through technology.

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