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Mastering Microsoft Azure for AI: A Beginner's Guide by M.B. Chatfield Pdf
Mastering Microsoft Azure for AI: A Beginner's Guide is the definitive guide for anyone who wants to learn how to build and deploy artificial intelligence (AI) solutions on Microsoft Azure. This comprehensive book covers everything you need to know, from the basics of AI to the latest Azure AI services and technologies. Learn the fundamentals of AI Explore Azure AI services and technologies Build and deploy your own AI solutions Whether you're a beginner or an experienced developer, Mastering Microsoft Azure for AI: A Beginner's Guide is the perfect resource for learning how to build and deploy AI solutions on Microsoft Azure.
Microsoft Azure AI: A Beginner’s Guide by Rekha Kodali,Sankara Narayanan Govindarajulu,Mohammed Athaulla Pdf
Explore Azure AI Platform KEY FEATURES ● Easy-to-follow tutorial for getting started with the Azure AI platform. ● Integrated platform for developing, deploying, and managing AI apps. ● Includes real-world scenarios and use-cases to fully explore Azure AI Platform. DESCRIPTION Microsoft Azure AI A Beginner's Guide explains the fundamentals of Azure AI and some more advanced topics. The sole objective of the book is to provide hands-on experience working with the various services, APIs, and tools available in the Azure AI Platform. This book begins by discussing the fundamentals of the Azure AI platform and the essential principles behind the Azure AI ecosystem and services. Readers will become familiar with the essential services, use cases, and examples provided by Azure AI Platform and Services, including Azure Cognitive Services, Azure Computer Vision, Azure Applied AI Services, and Azure Machine Learning. The author focuses on teaching how to utilize Azure Cognitive services to construct intelligent apps, including Image Processing, Object Detection, Text Recognition, OCR, Spatial Analysis, and Face Recognition using Computer Vision. Readers can investigate Azure Applied AI Services, including Form Recognizer, Metrics Advisor, Cognitive Search, Immersive Reader, Video Analyzer, and Azure Bot Service. Bot Framework and the Bot Framework Emulator will be explored in further detail, and how they can be used in AI applications to improve their conversational user interfaces. With Azure Machine Learning Studio, you will also learn to incorporate machine learning into your enterprise-level applications. WHAT YOU WILL LEARN ● Get familiar with Azure AI Platform and the cognitive capabilities of Azure. ● Learn to create apps that can process photos, detect faces, and detect objects. ● Utilize OCR, handwriting recognition, and spatial analysis in your development. ● Learn about Azure AI services like Form Recognizer, Metrics Advisor, Cognitive Search, Azure Immersive Reader, and Video Analyzer. ● Try out several NLP applications with the Azure BOT framework. WHO THIS BOOK IS FOR This book teaches AI developers, machine learning engineers, .NET developers, and architects how to swiftly develop intelligent applications utilizing the Azure AI Platform. Knowledge of.NET or.NET Core is strongly advised to get the most out of the book. TABLE OF CONTENTS 1 .Azure AI Platform and Services 2. Azure Computer Vision - Image Analysis, Processing, Content Moderation, Object and Face Detection 3. Computer Vision - Text Recognition, Optical Character Recognition, Spatial Analysis 4. Azure Cognitive Services - Custom Applications leveraging Decision, Language, Speech, Web Search 5. Azure Applied AI Services 6. Azure Applied AI Services -BOTs– A Brief Introduction 7. Machine Learning-Infusing ML in Custom Applications using ML.NET 8. Machine Learning - Using Azure ML Studio
Microsoft Azure Tutorial the Ultimate Beginners Guide by Dennis Hutten Pdf
Windows Azure, which was later renamed as Microsoft Azure in 2014, is a cloud computing platform, designed by Microsoft to successfully build, deploy, and manage applications and services through a global network of datacenters. This tutorial explains various features of this flexible platform and provides a step-by-step description of how to use the same. This tutorial has been designed for software developers who are keen on developing best-in-class applications using this open and advanced platform of Windows Azure.
Quickstart guide for Microsoft Azure Microsoft Azure is an incredibly versatile and powerful cloud service, but only if you know how to use it! Need to learn Azure fast? Microsoft Azure is a cloud service that can be used to for building, testing, and managing applications and services through a network of servers managed by Microsoft in various locations all over the world. When you understand how to use Azure, you unlock a world of computing power and possibilities. Get the most out of Azure simply by following the easy instructions fully explained inside this guide. It doesn't matter if you have never used Azure before. This step-by-step guide gives you everything you need to know to do more with Azure than you ever thought possible! Fully up to date for 2018 The world of cloud services is changing constantly and yesterday's instructions are useless today. Save yourself the headache and frustration of trying to use a guide that just doesn't work anymore! Brand new for 2018, this guide shows you exactly what you need to do to get up and running on Microsoft Azure today!Here is a preview of what you will learn in this guide: Infrastructure as a Service (IaaS) Platform as a Service (PaaS) Software as a Service (SaaS) Public, Private, and Hybrid Clouds Cloud Computing and Security Issues The Importance of Geopolitics in Cloud Computing Overview of Available Azure Services Development with Azure Mobile services in Azure Azure Storage services Data management Functions in Azure Messaging Functions on Microsoft Azure Media services in Azure Azure's Content Delivery Network Developer Tools in Azure Application Management with Azure Machine learning Capabilities in Azure Azure and the Internet of Things (IoT) Design of Microsoft Azure Privacy and Microsoft Azure Creating a Windows Virtual Machine Creating a Linux Virtual Machine And so much more! If you aren't a tech-savvy person, have no fear! With this guide in your hands that will not be a barrier for you any longer. Learn Microsoft Azure quickly and easily when you grab this guide now!
Microsoft Azure Essentials Azure Machine Learning by Jeff Barnes Pdf
Microsoft Azure Essentials from Microsoft Press is a series of free ebooks designed to help you advance your technical skills with Microsoft Azure. This third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. The ebook presents an overview of modern data science theory and principles, the associated workflow, and then covers some of the more common machine learning algorithms in use today. It builds a variety of predictive analytics models using real world data, evaluates several different machine learning algorithms and modeling strategies, and then deploys the finished models as machine learning web services on Azure within a matter of minutes. The ebook also expands on a working Azure Machine Learning predictive model example to explore the types of client and server applications you can create to consume Azure Machine Learning web services. Watch Microsoft Press’s blog and Twitter (@MicrosoftPress) to learn about other free ebooks in the Microsoft Azure Essentials series.
Microsoft Azure for Beginners by Adney Ainsley Pdf
Do you know what is Azure? Do you have any idea why and how it is used? If you want the answers to these questions, you are at the right place. This Azure Tutorial book will give you an introduction to Microsoft Azure covering all the Why, What and How aspects of it. In this book, we will learn about Microsoft Azure in the following sequence: 1. What is Cloud Computing? 2. Azure Job Trends 3. What is Microsoft Azure? 4. Azure Management Portal 5. Azure Services 6. Azure Pricing 7. Azure Certifications 8. Azure Demo: Launching Ubuntu Server
AI-900: Microsoft Azure AI Fundamentals Exam Preparation - NEW Edition by Georgio Daccache Pdf
AI-900: Microsoft Azure AI Fundamentals Exam Preparation Book New Edition 2024: Achieve success in your Microsoft AI-900 Azure AI Fundamentals Exam on the first try with our new and exclusive preparation book. This Exclusive Book is a preparation for students who want to Successfully pass the AI-900: Microsoft Azure AI Fundamentals exam on the first Try! Here we’ve brought Top new and recurrent Exam Practice Questions for Microsoft AI-900 Azure AI Fundamentals exam so that you can prepare well for this exam. This Exclusive book is aligned with the Microsoft AI-900 Exam Review Manual 2024 edition and covers all the exam’s topics that a Microsoft AI-900 candidate needs to understand in order to pass the exam successfully. The book practice tests contain exclusive, up-to-date content that is designed to match the real exam. The Practice tests will help you gaining more knowledge and more confidence on exam preparation. You will be able to self-evaluation against the real exam content. This book of exclusive practice tests will test you on questions asked in the actual Exam. This exam is intended for candidates no matter their prior knowledge or experience. Skills measured: Describe AI workloads and considerations (15-20%) Describe the fundamental principles of machine learning (ML) on Azure (30-35%) Describe the features of the computer vision (CV) workloads on Azure (15-20%) Describe the features of the Natural Language Processing (NLP) workloads on Microsoft Azure (15-20%) Describe features of generative AI workloads on Azure (15-20%) Who this book is for: Microsoft Azure AI Fundamentals (AI-900) candidates. Beginners in Machine Learning (ML) Welcome!
Exam Ref AI-900 Microsoft Azure AI Fundamentals by Julian Sharp Pdf
Prepare for Microsoft Exam AI-900 and help demonstrate your real-world knowledge of diverse machine learning (ML) and artificial intelligence (AI) workloads, and how they can be implemented with Azure AI. Designed for business stakeholders, new and existing IT professionals, consultants, and students, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure AI Fundamentals level. Focus on the expertise measured by these objectives: • Describe AI workloads and considerations • Describe fundamental principles of machine learning on Azure • Describe features of computer vision workloads on Azure • Describe features of Natural Language Processing (NLP) workloads on Azure • Describe features of conversational AI workloads on Azure This Microsoft Exam Ref: • Organizes its coverage by exam objectives • Features strategic, what-if scenarios to challenge you • Assumes you are a business user, stakeholder, technical professional, or student who wants to become familiar with Azure AI; requires no data science or software engineering experience. About the Exam Exam AI-900 focuses on knowledge needed to identify features of common AI workloads and guiding principles for responsible AI; identify common ML types; describe core ML concepts; identify core tasks in creating an ML solution; describe capabilities of no-code ML with Azure Machine Learning Studio; identify common types of computer vision solutions; identify Azure tools and services for computer vision tasks; identify features of common NLP workload scenarios; identify Azure tools and services for NLP workloads; and identify common use cases and Azure services for conversational Al. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Azure AI Fundamentals certification, demonstrating your knowledge of common ML and AI workloads and how to implement them on Azure. With this certification, you can move on to earn more advanced role-based certifications, including Microsoft Certified: Azure AI Engineer Associate or Azure Data Scientist Associate. See full details at: microsoft.com/learn
Learn Microsoft Azure for Beginners by Henry Stromm Pdf
Microsoft Azure is the fastest growing cloud platform in the world. This book is designed to help you to build strong foundation in Microsoft Azure. No prior Azure experience required. This course has been designed with an architectural approach. So, start taking this course and put yourself in high demand in the world of IT and command higher salary!!!Who this course is for: Students who are willing to learn Azure from ground zeroStudents who would like to make a career switch to Microsoft Azure cloudEnterprise architects, Solution architects, IT developersSystem, network, storage, application administrators
Microsoft Azure AI Fundamentals Certification Companion by Krunal S. Trivedi Pdf
Prepare for the Azure AI Fundamentals certification examination. This book covers the basics of implementing various Azure AI services in your business. The book not only helps you get ready for the AI-900 exam, but also helps you get started in the artificial intelligence (AI) world. The book starts with a short overview of the AI-900 exam and takes you through the exam prerequisites and the structure of the exam. You will then learn basic and advanced AI in Azure. Principles of responsible AI, Azure Machine Learning (ML), Azure Cognitive Services, and Bot Services are covered, followed by a practice test. You will go through ML fundamental concepts, model training, and validation along with case studies and a practice test for better preparation. The book includes the fundamentals of Azure and computer vision cognitive services. Various vision services and face services are demonstrated as well as analyzing image and text using OCR. You will understand concepts of natural language processing (NLP) such as text analysis, language modelling, entity recognition, sentiment analysis, speech recognition, and synthesis and also learn how to leverage Microsoft Azure for NLP. After reading this book, you will be able to implement various Azure AI services and prepare for the Azure AI Fundamentals certification exam, AI-900. What Will You Learn Understand AI fundamentals and responsibilities Know the Microsoft Azure offerings for AI Understand foundational concepts for ML and Azure offerings for ML Understand Azure Cognitive Services such as Custom Vision, Face, Form Recognizer, Text-to-Speech, and Image Analysis.
Practical Guide to Azure Cognitive Services by Chris Seferlis,Christopher Nellis,Andy Roberts Pdf
Streamline your complex processes and optimize your organization's operational efficiency, cost-effectiveness, and customer experience by unlocking the potential of Microsoft Azure Cognitive Services and OpenAI Purchase of the print or Kindle book includes a free PDF eBook Key Features Minimize costs and maximize operations by automating mundane activities using AI tools Ideate solutions using real-world examples for manufacturing process improvement with AI Master TCO and ROI analysis for implementing AI solutions, automating operations, and ideating innovative manufacturing solutions with real-world examples Book Description Azure Cognitive Services and OpenAI are a set of pre-built artificial intelligence (AI) solution APIs that can be leveraged from existing applications, allowing customers to take advantage of Microsoft's award-winning Vision, Speech, Text, Decision, and GPT-4 AI capabilities. With Practical Guide to Azure Cognitive Services, you'll work through industry-specific examples of implementations to get a head-start in your production journey. You'll begin with an overview of the categorization of Azure Cognitive Services and the benefits of embracing AI solutions for practical business applications. After that, you'll explore the benefits of using Azure Cognitive Services to optimize efficiency and improve predictive capabilities. Then, you'll learn how to leverage Vision capabilities for quality control, Form Recognizer to streamline supply chain nuances, language understanding to improve customer service, and Cognitive Search for next-generation knowledge-mining solutions. By the end of this book, you'll be able to implement various Cognitive Services solutions that will help you enhance efficiency, reduce costs, and improve the customer experience at your organization. You'll also be well equipped to automate mundane tasks by reaping the full potential of OpenAI. What you will learn Master cost-effective deployment of Azure Cognitive Services Develop proven solutions from an architecture and development standpoint Understand how Cognitive Services are deployed and customized Evaluate various uses of Cognitive Services with different mediums Disseminate Azure costs for Cognitive Services workloads smoothly Deploy next-generation Knowledge Mining solutions with Cognitive Search Explore the current and future journey of OpenAI Understand the value proposition of different AI projects Who this book is for This book is for data scientists, technology leaders, and software engineers looking to implement Azure Cognitive Services with the help of sample use cases derived from success stories. Experience with Python as well as an overall understanding of the Azure Portal with related services such as Azure Data Lake Storage and Azure Functions will help you make the most of this book.
Demystifying AI: A Comprehensive Guide to Microsoft Certified Azure AI Fundamentals by Mark Duncan Pdf
"Unlocking Azure AI" is a comprehensive guide that provides readers with a deep dive into the world of artificial intelligence (AI) on the Microsoft Azure platform. This book serves as a roadmap for individuals looking to explore, understand, and leverage the full potential of Azure AI services to solve real-world problems and drive innovation. With the exponential growth of AI technologies and their increasing integration into various industries and applications, there is a growing demand for professionals who possess the knowledge and skills to develop, deploy, and manage AI solutions on cloud platforms like Azure. "Unlocking Azure AI" addresses this need by offering a structured and accessible approach to learning Azure AI concepts and services. The book begins by introducing readers to the fundamentals of AI, providing a foundational understanding of key concepts such as machine learning, natural language processing, computer vision, and conversational AI. Readers will learn how AI is transforming industries and reshaping the way businesses operate and interact with customers. As readers progress through the book, they will explore the rich ecosystem of Azure AI services offered by Microsoft, including Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services. Each chapter delves into a specific aspect of Azure AI, covering topics such as: Understanding the capabilities and use cases of Azure Cognitive Services, including vision, speech, language, and decision services. Building and training machine learning models using Azure Machine Learning, from data preparation and model development to deployment and management. Developing intelligent chatbots and virtual agents using Azure Bot Services to automate customer support and enhance user experiences. The book provides practical guidance, hands-on examples, and real-world case studies to illustrate how Azure AI services can be applied to solve common business challenges across various industries. Readers will learn how to leverage Azure AI to enhance productivity, drive innovation, and gain competitive advantage in today's digital economy. In addition to technical content, "Unlocking Azure AI" also addresses ethical considerations and implications in AI development and deployment, helping readers understand the importance of responsible AI practices and ensuring fairness, transparency, and accountability in AI systems. Whether you're a developer, data scientist, IT professional, or business leader, "Unlocking Azure AI" is your go-to resource for mastering Azure AI and unlocking the full potential of artificial intelligence on the Microsoft Azure platform. With its comprehensive coverage, practical insights, and actionable advice, this book empowers readers to embark on their Azure AI journey with confidence and competence.
Data Centric Artificial Intelligence: A Beginner’s Guide by Parikshit N. Mahalle,Gitanjali R. Shinde,Yashwant S. Ingle,Namrata N. Wasatkar Pdf
This book discusses the best research roadmaps, strategies, and challenges in data-centric approach of artificial intelligence (AI) in various domains. It presents comparative studies of model-centric and data-centric AI. It also highlights different phases in data-centric approach and data-centric principles. The book presents prominent use cases of data-centric AI. It serves as a reference guide for researchers and practitioners in academia and industry.
Deep Learning with Azure by Mathew Salvaris,Danielle Dean,Wee Hyong Tok Pdf
Get up-to-speed with Microsoft's AI Platform. Learn to innovate and accelerate with open and powerful tools and services that bring artificial intelligence to every data scientist and developer. Artificial Intelligence (AI) is the new normal. Innovations in deep learning algorithms and hardware are happening at a rapid pace. It is no longer a question of should I build AI into my business, but more about where do I begin and how do I get started with AI? Written by expert data scientists at Microsoft, Deep Learning with the Microsoft AI Platform helps you with the how-to of doing deep learning on Azure and leveraging deep learning to create innovative and intelligent solutions. Benefit from guidance on where to begin your AI adventure, and learn how the cloud provides you with all the tools, infrastructure, and services you need to do AI. What You'll Learn Become familiar with the tools, infrastructure, and services available for deep learning on Microsoft Azure such as Azure Machine Learning services and Batch AI Use pre-built AI capabilities (Computer Vision, OCR, gender, emotion, landmark detection, and more) Understand the common deep learning models, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs) with sample code and understand how the field is evolving Discover the options for training and operationalizing deep learning models on Azure Who This Book Is For Professional data scientists who are interested in learning more about deep learning and how to use the Microsoft AI platform. Some experience with Python is helpful.
Microsoft AI-900 Azure AI Fundamentals offers professional-level preparation that helps candidates maximize their exam performance and sharpen their skills on the job. Its a preparation Book for students who want to pass the AI-900: Microsoft Azure AI Fundamentals exam on the first Try! Save their Money and Their Time! Here we've brought best Exam Practice Questions for Microsoft AI-900 Azure AI Fundamentals exam so that you can prepare well for this exam. This Book is aligned with Microsoft AI-900 Exam Review Manual and covers all the topics that a Microsoft AI-900 Candidates needs to understand in order to pass the exam successfully and on the first try. The book practice tests contain all New, recurrent Practice questions that are designed to simulate the real exam scenario. This book contains tests that will help you in gaining more confidence on exam preparation and self-evaluation against the real exam content. This set of Exclusive practice tests will test you on questions asked in the actual certification. Microsoft AI-900 Azure AI Fundamentals is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure. Skills measured The content of this exam was updated on April 23, 2021. Describe AI workloads and considerations (15-20%) Describe fundamental principles of machine learning on Azure (30-35%) Describe features of computer vision workloads on Azure (15-20%) Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%) Describe features of conversational AI workloads on Azure (15-20%) Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it's not a prerequisite for any of them. Welcome!
