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

Identify features of generative AI workloads

If you’ve been paying attention to the media over the last year or so, you’ve probably seen some examples of generative AI tools like ChatGPT, Bing Image Creator, and Midjourney. Each of these types of tools are able to generate new content (hence the term generative AI) as the result of a natural language instructive input, also known as a prompt.

Azure AI Generative AI is a set of tools and services within the Azure AI ecosystem designed to enable the creation of new content, such as images, text, audio, and video, based on existing data patterns. This cutting-edge technology leverages deep learning techniques to mimic human creativity and generate content that is realistic and relevant to specific use cases.

Azure AI Generative AI can be used to generate high-quality images. Using Generative Adversarial Networks (GANs) and other advanced techniques, Azure AI can create realistic images that closely resemble those found in real...