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Master Azure Virtual Desktop with expert guidance from industry leaders and MVPs, and unlock its advanced capabilities for cloud virtualization and remote application delivery.

\"Adopt Azure IaaS and migrate your on-premise infrastructure partially or fully to Azure. This book provides practical solutions by following Microsoft's design and best practice guidelines for building highly available, scalable, and secure solution stacks using Microsoft Azure IaaS.\"--Back cover.

\"Microsoft Azure AI Fundamentals AI-900 Exam Guide\" is your comprehensive resource for mastering Azure AI and machine learning services needed to confidently pass the AI-900 exam. Through real-world examples and hands-on exercises, you will learn to implement AI solutions using Azure's diverse set of tools and concepts. What this Book will help me do Understand the foundational concepts of AI and machine learning, and how they integrate with Azure services. Gain insights into implementing computer vision applications using services like Azure AI Vision. Master natural language processing techniques through services such as Azure AI Language and Translator. Prepare effectively for the AI-900 exam using included self-assessment questions and online mock exams. Explore Generative AI models and learn to leverage the Azure OpenAI Service for innovative projects. Author(s) Aaron Guilmette and Steve Miles are seasoned professionals with expertise in Microsoft Azure technologies and AI solutions. Aaron specializes in delivering technical training and helping clients understand complex concepts. Steve brings hands-on experience with AI services and a passion for simplifying advanced topics for learners. Together, they have crafted this book to be a focused and practical guide. Who is it for? This book is ideal for cloud engineers, software developers, aspiring data scientists, or anyone keen on exploring AI and ML capabilities on Azure. It caters to both beginners and professionals looking to solidify their foundational knowledge and excel in certification. Readers should have a basic understanding of cloud technology but no prior AI expertise is needed.

Implement industry best practices to identify vulnerabilities and protect your data, models, environment, and applications while learning how to recover from a security breachKey FeaturesLearn about machine learning attacks and assess your workloads for vulnerabilitiesGain insights into securing data, infrastructure, and workloads effectivelyDiscover how to set and maintain a better security posture with the Azure Machine Learning platformPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionWith AI and machine learning (ML) models gaining popularity and integrating into more and more applications, it is more important than ever to ensure that models perform accurately and are not vulnerable to cyberattacks. However, attacks can target your data or environment as well. This book will help you identify security risks and apply the best practices to protect your assets on multiple levels, from data and models to applications and infrastructure. This book begins by introducing what some common ML attacks are, how to identify your risks, and the industry standards and responsible AI principles you need to follow to gain an understanding of what you need to protect. Next, you will learn about the best practices to secure your assets. Starting with data protection and governance and then moving on to protect your infrastructure, you will gain insights into managing and securing your Azure ML workspace. This book introduces DevOps practices to automate your tasks securely and explains how to recover from ML attacks. Finally, you will learn how to set a security benchmark for your scenario and best practices to maintain and monitor your security posture. By the end of this book, you'll be able to implement best practices to assess and secure your ML assets throughout the Azure Machine Learning life cycle.What you will learnExplore the Azure Machine Learning project life cycle and servicesAssess the vulnerability of your ML assets using the Zero Trust modelExplore essential controls to ensure data governance and compliance in AzureUnderstand different methods to secure your data, models, and infrastructure against attacksFind out how to detect and remediate past or ongoing attacksExplore methods to recover from a security breachMonitor and maintain your security posture with the right tools and best practicesWho this book is forThis book is for anyone looking to learn how to assess, secure, and monitor every aspect of AI or machine learning projects running on the Microsoft Azure platform using the latest security and compliance, industry best practices, and standards. This is a must-have resource for machine learning developers and data scientists working on ML projects. IT administrators, DevOps, and security engineers required to secure and monitor Azure workloads will also benefit from this book, as the chapters cover everything from implementation to deployment, AI attack prevention, and recovery.

Dive into the FinOps Handbook for Microsoft Azure and master the art of optimizing your Azure cloud expenditures. Learn how to form a FinOps team, achieve cost savings, and seamlessly coordinate with cross-functional teams. By using the strategies outlined, you'll improve financial accountability and generate improved business outcomes. What this Book will help me do Gain practical knowledge about building and managing FinOps teams to control cloud costs and create accountability. Learn how to utilize Azure cloud tools for monitoring usage, applying budgeting strategies, and optimizing resource allocations. Develop familiarity with Savings Plans, Spot VMs, and Reservations to decrease cloud expenditure effectively. Understand and apply cost allocation models like metric-driven optimization to enforce cost efficiency. Be able to evaluate and negotiate pricing structures with cloud providers and implement financial strategies in real-world scenarios. Author(s) Maulik Soni is a seasoned cloud financial management expert with extensive experience in deploying cost optimization strategies for major enterprises. With years of hands-on experience in cloud governance, his books provide actionable insights presented in an approachable manner. Maulik is passionate about empowering organizations to make cost-efficient cloud investments. Who is it for? This book is tailored for professionals involved in cloud management and financial operations, including financial controllers, operations teams, and IT administrators employing Azure. Suitable for practitioners with a basic understanding of cloud usage and financial operations, the book aims to help these individuals advance their cost management capabilities.