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

Guilmette, Aaron, Miles, Steve

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

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商品描述

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
  1. Discover Azure AI services, including computer vision, Auto ML, NLP, and OpenAI
  2. Explore AI use cases, such as image identification, chatbots, and more
  3. Work through 145 practice questions under chapter-end self-assessments and mock exams
  4. 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
  1. Discover various types of artificial intelligence (AI)workloads and services in Azure
  2. Cover Microsoft's guiding principles for responsible AI development and use
  3. Understand the fundamental principles of how AI and machine learning work
  4. Explore how AI models can recognize content in images and documents
  5. Gain insights into the features and use cases for natural language processing
  6. 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.

商品描述(中文翻譯)

準備好通過 AI-900 認證考試了嗎？這本書由兩位業界專家提供實用的洞察力，涵蓋了最新 AI-900 考試大綱中的 AI 概念、機器學習技術和 Azure AI 服務。主要特點包括：

1. 探索 Azure AI 服務，包括計算機視覺、自動機器學習、自然語言處理和 OpenAI。
2. 探索 AI 的應用案例，如圖像識別、聊天機器人等。
3. 通過章節結束的自我評估和模擬考試，解答 145 個練習問題。
4. 購買本書可解鎖網絡考試準備資源，包括模擬考試、閃卡和考試技巧。

本書描述了 AI-900 考試如何幫助您邁出進入 AI 未來的第一步。無論您的技術背景如何，本書都將幫助您測試對於開發 Azure 雲中的 AI 解決方案所使用的關鍵 AI 相關主題和工具的理解。

本考試指南專注於 AI 工作負載，包括自然語言處理（NLP）和大型語言模型（LLMs）。您將探索微軟的負責任 AI 原則，如安全性和問責制。然後，您將學習機器學習（ML）的基礎知識，包括分類和深度學習，並學習如何使用 Azure ML 的訓練和驗證數據集。通過使用 Azure AI Vision、人臉檢測和視頻索引服務，您將快速掌握與計算機視覺相關的主題，如圖像分類、物體檢測和人臉檢測。後面的章節涵蓋了 NLP 功能，如關鍵詞提取、情感分析和使用 Azure AI 語言、語音和翻譯服務進行語音處理。本書還指導您識別 GenAI 模型並利用 Azure OpenAI 服務進行內容生成。每章結束時，您將找到附帶答案的章節回顧問題，作為網絡資源提供。

通過閱讀本考試指南，您將能夠在 Azure 中使用 AI 解決方案並通過 AI-900 考試，同時使用網絡考試準備資源。

您將學到以下內容：

1. 探索 Azure 中各種類型的人工智慧（AI）工作負載和服務。
2. 理解微軟負責任 AI 開發和使用的指導原則。
3. 理解 AI 和機器學習的基本原理。
4. 探索 AI 模型如何識別圖像和文件中的內容。
5. 獲得自然語言處理的功能和應用案例的洞察力。
6. 探索生成式 AI 服務的能力。

本書適合雲工程師、軟件開發人員、有志成為數據科學家的人，以及對在 Azure 上學習 AI/ML 概念和能力感興趣的讀者。本書也為那些希望嘗試更高級的 AI 和數據科學相關認證考試（例如 Microsoft Certified: Azure AI Engineer Associate）提供了基礎。雖然不需要具備數據科學和軟件工程方面的經驗，但需要基本的雲概念和客戶端-服務器應用程序的知識。

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