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

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Eva Pardi

2:00:06

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01 - Introduction

01 - Passing the AI-900 NLP domain.mp4

00:46

02 - What you should know.mp4

00:48

02 - 1. Get Started with Natural Language Processing

01 - Understand Natural Language Processing.mp4

04:46

02 - Support use cases with the Language service.mp4

03:27

03 - Determine the language of a text.mp4

08:13

04 - Analyze the sentiment of a text.mp4

04:06

05 - Extract key phrases from a text.mp4

01:33

06 - Identify and categorize entities.mp4

05:04

03 - 2. Responsible AI

01 - Understand challenges of ethical AI.mp4

06:31

02 - Building trust and power with interpretability.mp4

02:55

03 - Explain text analytical model with InterpretText.mp4

04:55

04 - 3. Cognitive Services Speech

01 - Understand the Speech resource of Cognitive Services.mp4

08:12

02 - Use speech-to-text to support inclusiveness.mp4

03:09

03 - Use text-to-speech to support inclusiveness.mp4

03:39

05 - 4. Cognitive Services Translate

01 - Understand the abilities of the Translate service.mp4

06:08

02 - Use the Translate resource on text data.mp4

03:47

03 - Use the Translate resource on audio data.mp4

02:52

06 - 5. Language Understanding Intelligent Service (LUIS)

01 - Getting started with Language Understanding.mp4

08:11

02 - Create and train a Language Understanding model.mp4

08:02

07 - 6. Conversational AI

01 - How and where bots can be used.mp4

05:28

02 - Understand features of a QnA bot.mp4

03:20

03 - Create a QnA bot.mp4

07:06

04 - Get started with the Azure Bot Framework.mp4

05:10

05 - Create bot with the Bot Framework SDK and the Composer.mp4

10:10

08 - 7. Conclusion

01 - Next steps.mp4

01:48

Description

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.

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Natural Language Processing

Microsoft Azure

Eva Pardi

Instructor's Courses

Eva is a skilled Data Scientist and AI Engineer. She has been working close to Microsoft since her first years of university, as a Microsoft Student Partner first, and now as a Microsoft Most Valuable Professional. She has worked with Azure Infrastructure, then Mobile and Web development, and today she is focusing on Data Science and the Machine Learning (ML)/AI services provided by Microsoft: Azure Machine Learning Workspace, Azure Cognitive Services, Azure Open AI. She’s a familiar face as a speaker at conferences, meetups, and other community events, sharing her passion for AI and how it can be used to improve life quality around the world. She is a valuable member of Global AI Community and co-owner of AI42. She also writes articles about her projects and research and mentoring and supports people who would like to start in the field of Data Science and AI.

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