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

Introduction

• Passing the AI-900 NLP domain
• What you should know

1. Get Started with Natural Language Processing

• Understand Natural Language Processing
• Support use cases with the Language service
• Determine the language of a text
• Analyze the sentiment of a text
• Extract key phrases from a text
• Identify and categorize entities

2. Responsible AI

• Understand challenges of ethical AI
• Building trust and power with interpretability
• Explain text analytical model with InterpretText

3. Cognitive Services: Speech

• Understand the Speech resource of Cognitive Services
• Use speech-to-text to support inclusiveness
• Use text-to-speech to support inclusiveness

4. Cognitive Services: Translate

• Understand the abilities of the Translate service
• Use the Translate resource on text data
• Use the Translate resource on audio data

5. Language Understanding Intelligent Service (LUIS)

• Getting started with Language Understanding
• Create and train a Language Understanding model

6. Conversational AI

• How and where bots can be used?
• Understand features of a QnA bot
• Create a QnA bot
• Get started with the Azure Bot Framework
• Create bot with the Bot Framework SDK and the Composer

7. Conclusion

• Next steps