Microsoft Azure AI Fundamentals AI-900 Exam Guide: Gain proficiency in Azure AI and machine learning concepts and services to excel in the AI-900 exam
Author: Aaron Guilmette (Author), Steve Miles (Author)
Publisher finelybook 出版社: Packt Publishing
Publication Date 出版日期: 2024-05-31
Language 语言: English
Print Length 页数: 288 pages
ISBN-10: 1835885675
ISBN-13: 9781835885673
Book Description
Get ready to pass the certification exam on your first attempt by gaining actionable insights into AI concepts, ML techniques, and Azure AI services covered in the latest AI-900 exam syllabus from two industry experts
Key Features
- Discover Azure AI services, including computer vision, Auto ML, NLP, and OpenAI
- Explore AI use cases, such as image identification, chatbots, and more
- Work through 145 practice questions under chapter-end self-assessments and mock exams
- Purchase of this book unlocks access to web-based exam prep resources, including mock exams, flashcards, and exam tips
Book Description
The AI-900 exam helps you take your first step into an AI-shaped future. Regardless of your technical background, this book will help you test your understanding of the key AI-related topics and tools used to develop AI solutions in Azure cloud.
This exam guide focuses on AI workloads, including natural language processing (NLP) and large language models (LLMs). You’ll explore Microsoft’s responsible AI principles like safety and accountability. Then, you’ll cover the basics of machine learning (ML), including classification and deep learning, and learn how to use training and validation datasets with Azure ML. Using Azure AI Vision, face detection, and Video Indexer services, you’ll get up to speed with computer vision-related topics like image classification, object detection, and facial detection. Later chapters cover NLP features such as key phrase extraction, sentiment analysis, and speech processing using Azure AI Language, speech, and translator services. The book also guides you through identifying GenAI models and leveraging Azure OpenAI Service for content generation. At the end of each chapter, you’ll find chapter review questions with answers, provided as an online resource.
By the end of this exam guide, you’ll be able to work with AI solutions in Azure and pass the AI-900 exam using the online exam prep resources.
What you will learn
- Discover various types of artificial intelligence (AI)workloads and services in Azure
- Cover Microsoft’s guiding principles for responsible AI development and use
- Understand the fundamental principles of how AI and machine learning work
- Explore how AI models can recognize content in images and documents
- Gain insights into the features and use cases for natural language processing
- Explore the capabilities of generative AI services
Who this book is for
Whether you’re a cloud engineer, software developer, an aspiring data scientist, or simply interested in learning AI/ML concepts and capabilities on Azure, this book is for you. The book also serves as a foundation for those looking to attempt more advanced AI and data science-related certification exams (e.g. Microsoft Certified: Azure AI Engineer Associate). Although no experience in data science and software engineering is required, basic knowledge of cloud concepts and client-server applications is assumed.
About the Author
Aaron Guilmette is a Principal Architect at Planet Technologies, an award-winning Microsoft Partner focused on the Public Sector. As an author of over a dozen IT books, he specializes in identity, messaging, and automation technologies. Previous to Planet Technologies, Aaron was a Senior Program Manager for Microsoft focusing on Microsoft 365 Customer Experience. When he’s not writing books or tools for his customers, Aaron can be found tinkering on cars.
Steve Miles is a Microsoft security and Azure/hybrid MVP and MCT with over 20 years of experience in security, networking, storage, end user computing, and cloud solutions. His current focus is on securing, protecting, and managing identities, Windows clients, and Windows server workloads in hybrid and multi-cloud platform environments. His first Microsoft certification was on Windows NT and he is an MCP, MCITP, MCSA, and MCSE for Windows and many other Microsoft products. He also holds multiple Microsoft Fundamentals, Associate, Expert, and Specialty certifications in Azure security, identity, network, M365, and D365. He also holds multiple security, networking vendor, and other public cloud provider certifications.
