Azure AI Fundamentals (AI-900) Cert Prep: 4 Natural Language Processing (NLP) Workloads on Azure

2hBeginner2023-03-16

Authors

Eva Pardi

Advanced Analytics Consultant at Avanade | Microsoft AI MVP

Course details

In this course, skilled data scientist and AI engineer Eva Pardi guides you through common features of NLP workloads on Azure, including an overview of the Azure tools and services available, common workload scenarios, and conversational AI solutions using bots and the Azure Bot service. Learn what you need to get started with Natural Language Processing. Go over what responsible AI means, including ethical AI, interpretability techniques, and a text analytical model. Explore cognitive services for speech and translation. Find out about Language Understanding (LUIS) models. Plus, learn about how and where conversational AI can be used. This course maps to the of the "Describe features of Natural Language Processing (NLP) workloads on Azure" domain AI-900 Skills Measured doc.

Skills covered

Natural Language Processing (NLP)Cloud DevelopmentMachine LearningAzureCert PrepArtificial Intelligence (AI)Cloud ComputingMicrosoft

Concepts

0. Introduction

01 - Passing the AI-900 NLP domain
02 - What you should know

1. Get Started with Natural Language Processing

03 - Understand Natural Language Processing
04 - Support use cases with the Language service
05 - Determine the language of a text
06 - Analyze the sentiment of a text
07 - Extract key phrases from a text
08 - Identify and categorize entities

2. Responsible AI

09 - Understand challenges of ethical AI
10 - Building trust and power with interpretability
11 - Explain text analytical model with InterpretText

3. Cognitive Services - Speech

12 - Understand the Speech resource of Cognitive Services
13 - Use speech-to-text to support inclusiveness
14 - Use text-to-speech to support inclusiveness

4. Cognitive Services - Translate

15 - Understand the abilities of the Translate service
16 - Use the Translate resource on text data
17 - Use the Translate resource on audio data

5. Language Understanding Intelligent Service (LUIS)

18 - Getting started with Language Understanding
19 - Create and train a Language Understanding model

6. Conversational AI

20 - How and where bots can be used
21 - Understand features of a QnA bot
22 - Create a QnA bot
23 - Get started with the Azure Bot Framework
24 - Create bot with the Bot Framework SDK and the Composer

7. Conclusion

25 - Next steps