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Microsoft Azure AI Fundamentals AI-900 Exam Guide

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

View More author details

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

Why subscribe?

19. Other Books You May Enjoy

Summary

This chapter included complete coverage of the AI-900 Azure Fundamentals Describe features of Natural Language Processing (NLP) workloads on Azure skills area.

In this chapter, you were introduced to some common scenarios for NLP workloads in Azure. You learned to identify features of these services, including key phrase extraction, entity recognition, sentiment analysis, language modeling, speech recognition, and translation.

In the next chapter, you will learn about tools and services for NLP workloads.

The rest of the chapter is locked

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Authors (2)

Aaron Guilmette

Aaron Guilmette

Aaron Guilmette is a Principal Architect at Planet Technologies, an award-winning Microsoft Partner focused on the Public Sector. As an author of over a dozen IT books, he specializes in identity, messaging, and automation technologies. Previous to Planet Technologies, Aaron was a Senior Program Manager for Microsoft focusing on Microsoft 365 Customer Experience. When he's not writing books or tools for his customers, Aaron can be found tinkering on cars.

See other products by Aaron Guilmette

Steve Miles

Steve Miles

Steve Miles works in a technology leadership role for the cloud practice of a multi-billion turnover IT distributor based in the UK and Ireland. He is a Microsoft Azure MVP (Most Valuable Professional), MCT (Microsoft Certified Trainer) and Microsoft technologies author. Steve has more than 25 years of experience in hosted datacenter services, hybrid, and multi-cloud platforms. In his free time, Steve also can be found tinkering on cars.

See other products by Steve Miles

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