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

سرفصل های دوره

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.

01 - Introduction

01 - Passing the AI-900 NLP domain

02 - What you should know

02 - 1. Get Started with Natural Language Processing

01 - Understand Natural Language Processing

02 - Support use cases with the Language service

03 - Determine the language of a text

04 - Analyze the sentiment of a text

05 - Extract key phrases from a text

06 - Identify and categorize entities

03 - 2. Responsible AI

01 - Understand challenges of ethical AI

02 - Building trust and power with interpretability

03 - Explain text analytical model with InterpretText

04 - 3. Cognitive Services Speech

01 - Understand the Speech resource of Cognitive Services

02 - Use speech-to-text to support inclusiveness

03 - Use text-to-speech to support inclusiveness

05 - 4. Cognitive Services Translate

01 - Understand the abilities of the Translate service

02 - Use the Translate resource on text data

03 - Use the Translate resource on audio data

06 - 5. Language Understanding Intelligent Service (LUIS)

01 - Getting started with Language Understanding

02 - Create and train a Language Understanding model

07 - 6. Conversational AI

01 - How and where bots can be used

02 - Understand features of a QnA bot

03 - Create a QnA bot

04 - Get started with the Azure Bot Framework

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

08 - 7. Conclusion

01 - Next steps

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تولید کننده: LinkedIn Learning (Lynda)