Julian Soh – författare

Gain the technical and business insight needed to plan, deploy, and manage the services provided by the Microsoft Azure cloud. This second edition focuses on improving operational decision tipping points for the professionals leading DevOps and security teams. This will allow you to make an informed decision concerning the workloads appropriate for your growing business in the Azure public cloud.  Microsoft Azure starts with an introduction to Azure along with an overview of its architecture services such as IaaS and PaaS. You’ll also take a look into Azure’s data, artificial intelligence, and machine learning services. Moving on, you will cover the planning for and adoption of Azure where you will go through budgeting, cloud economics, and designing a hybrid data center. Along the way, you will work with web apps, network PaaS, virtual machines, and much more. The final section of the book starts with Azure data services and big data with anin-depth discussion of Azure SQL Database, CosmosDB, Azure Data Lakes, and MySQL. You will further see how to migrate on-premises databases to Azure and use data engineering. Next, you will discover the various Azure services for application developers, including Azure DevOps and ASP.NET web apps. Finally, you will go through the machine learning and AI tools in Azure, including Azure Cognitive Services.What You Will LearnApply design guidance and best practices using Microsoft Azure to achieve business growthCreate and manage virtual machinesWork with AI frameworks to process and analyze data to support business decisions and increase revenue Deploy, publish, and monitor a web appWho This Book Is For Azure architects and business professionals looking for Azure deployment and implementation advice.

This revamped and updated book focuses on the latest in AI technology—Generative AI. It builds on the first edition by moving away from traditional data science into the area of applied AI using the latest breakthroughs in Generative AI.Based on real-world projects, this edition takes a deep look into new concepts and approaches such as Prompt Engineering, testing and grounding of Large Language Models, fine tuning, and implementing new solution architectures such as Retrieval Augmented Generation (RAG). You will learn about new embedded AI technologies in Search, such as Semantic and Vector Search.Written with a view on how to implement Generative AI in software, this book contains examples and sample code.In addition to traditional Data Science experimentation in Azure Machine Learning (AML) that was covered in the first edition, the authors cover new tools such as Azure AI Studio, specifically for testing and experimentation with Generative AI models. What's New in this BookProvides new concepts, tools, and technologies such as Large and Small Language Models, Semantic Kernel, and Automatic Function CallingTakes a deeper dive into using Azure AI Studio for RAG and Prompt Engineering designIncludes new and updated case studies  for Azure OpenAITeaches about Copilots, plugins, and agents What You'll LearnGet up to date on the important technical aspects of Large Language Models, based on Azure OpenAI as the reference platformKnow about the different types of models: GPT3.5 Turbo, GPT4, GPT4o, Codex, DALL-E, and Small Language Models such as Phi-3Develop new skills such as Prompt Engineering and fine tuning of Large/Small Language ModelsUnderstand and implement new architectures such as RAG and Automatic Function CallingUnderstand approaches for implementing Generative AI using LangChain and Semantic KernelSee how real-world projects help you identify great candidates for Applied AI projects, including Large/Small Language Models Who This Book Is ForSoftware engineers and architects looking to deploy end-to-end Generative AI solutions on Azure with the latest tools and techniques.