You're reading from 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

Product type Paperback

Published in May 2024

Publisher Packt

ISBN-13 9781835885666

Length 288 pages

Edition 1st Edition

Languages

Python

Tools

Azure

Concepts

Artificial Intelligence

Authors (2):

Steve Miles

Aaron Guilmette

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Table of Contents (20) Chapters

Preface

1. Part 1: Identify Features of Common AI Workloads FREE CHAPTER

2. Chapter 1: Identify Features of Common AI Workloads

3. Chapter 2: Identify the Guiding Principles for Responsible AI

4. Part 2: Describe the Fundamental Principles of Machine Learning on Azure

5. Chapter 3: Identify Common Machine Learning Techniques

6. Chapter 4: Describe Core Machine Learning Concepts

7. Chapter 5: Describe Azure Machine Learning Capabilities

8. Part 3: Describe Features of Computer Vision Workloads on Azure

9. Chapter 6: Identify Common Types of Computer Vision Solutions

10. Chapter 7: Identify Azure Tools and Services for Computer Vision Tasks

11. Part 4: Describe Features of Natural Language Processing (NLP) Workloads on Azure

12. Chapter 8: Identify Features of Common NLP Workload Scenarios

13. Chapter 9: Identify Azure Tools and Services for NLP Workloads

14. Part 5: Describe Features of Generative AI Workloads on Azure

15. Chapter 10: Identify Features of Generative AI Solutions

16. Chapter 11: Identify Capabilities of Azure OpenAI Service

17. Chapter 12: Accessing the Online Practice Resources

18. Index

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Identify Azure Tools and Services for Computer Vision Tasks

In Chapter 6, Identify Common Types of Computer Vision Solutions, you learned how to identify common types of computer vision solutions capabilities surrounding image classification, object detection, optical character recognition (OCR), facial detection, and facial analysis.

In this chapter, you will explore the use of the Azure AI Vision Studio tool and the Azure AI Vision service, which allows you to analyze images, read text, and provide spatial analysis. You will then explore the Azure AI Face service, which allows you to detect and recognize faces and attributes in images. Finally, you will discover the Azure AI Video Indexer service, which is a video and audio analytics service that allows insights to be extracted using machine learning models.

This content requires some understanding of machine learning principles; if you have skipped straight to this chapter and are new to machine learning or just want to refresh...