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

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 - Opis

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. Spis treści: 1. Identify Features of Common AI Workloads2. Identify the Guiding Principles for Responsible AI3. Identify Common Machine Learning Techniques4. Describe Core Machine Learning Concepts5. Describe Azure Machine Learning Capabilities6. (...) więcej Identify Common Types of Computer Vision Solutions7. Identify Azure Tools and Services for Computer Vision Tasks8. Identify Features of Common NLP Workload Scenarios9. Identify Azure Tools and Services for NLP Workloads10. Identify Features of Generative AI Solutions11. Identify Capabilities of Azure OpenAI Service mniej