Book Image

Microsoft Azure AI Fundamentals AI-900 Exam Guide

By : Aaron Guilmette, Steve Miles
Book Image

Microsoft Azure AI Fundamentals AI-900 Exam Guide

By: Aaron Guilmette, Steve Miles

Overview of this book

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.
Table of Contents (20 chapters)
Free Chapter
1
Part 1: Identify Features of Common AI Workloads
4
Part 2: Describe the Fundamental Principles of Machine Learning on Azure
8
Part 3: Describe Features of Computer Vision Workloads on Azure
11
Part 4: Describe Features of Natural Language Processing (NLP) Workloads on Azure
14
Part 5: Describe Features of Generative AI Workloads on Azure

Describe the capabilities of the Azure AI Face service

The Azure AI Face service is a part of Microsoft Azure’s AI services.

The Face service provides capabilities for detecting and recognizing human faces in images, as well as extracting various facial attributes. Some key features and functionalities of the Microsoft Azure AI Face service are as follows:

  • Face Detection: Identify and locate human faces within an image
  • Face Recognition: Associate detected faces with previously known faces in a dataset
  • Face Verification: Confirm whether two faces in an image are of the same person or not
  • Facial Landmarks Detection: Identify key facial features such as eyes, nose, and mouth
  • Face Similarity Matching: Determine the similarity between faces for potential use in applications such as face-based authentication

Developers can integrate the Azure AI Face service into their applications using a REST API.

In this section, you were introduced to the Azure...