Develop natural language processing solutions with Azure AI Services
- Offered byMicrosoft
Develop natural language processing solutions with Azure AI Services at Microsoft Overview
Duration | 7 hours |
Total fee | Free |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Develop natural language processing solutions with Azure AI Services at Microsoft Course details
- Analyze text with Azure AI Language
- Build a question answering solution
- Build a conversational language understanding model
- Create a custom text classification solution
- Create a custom named entity extraction solution
- Translate text with the Azure AI Translator service
- Create speech-enabled apps with Azure AI services
- Translate speech with the Azure AI Speech service
- Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications.
Develop natural language processing solutions with Azure AI Services at Microsoft Curriculum
Analyze text with Azure AI Language
Introduction
Provision an Azure AI Language resource
Detect language
Extract key phrases
Analyze sentiment
Extract entities
Extract linked entities
Exercise - Analyze text
Knowledge check
Summary
Build a question answering solution
Introduction
Understand question answering
Compare question answering to Azure AI Language understanding
Create a knowledge base
Implement multi-turn conversation
Test and publish a knowledge base
Use a knowledge base
Improve question answering performance
Create a question answering bot
Exercise - Create a question answering solution
Knowledge check
Summary
Build a conversational language understanding model
Introduction
Understand resources for building a conversational language understanding model
Define intents, utterances, and entities
Use patterns to differentiate similar utterances
Use pre-built entity components
Train, test, publish, and review a conversational language understanding model
Exercise - Build an Azure AI services conversational language understanding model
Knowledge check
Summary
Create a custom text classification solution
Introduction
Understand types of classification projects
Understand how to build text classification projects
Exercise - Classify text
Knowledge check
Summary
Create a custom named entity extraction solution
Introduction
Understand custom named entity recognition
Label your data
Train and evaluate your model
Exercise - Extract custom entities
Knowledge check
Summary
Translate text with the Azure AI Translator service
Introduction
Provision an Azure AI Translator resource
Understand language detection, translation, and transliteration
Specify translation options
Define custom translations
Exercise - Translate text with the Azure AI Translator service
Knowledge check
Summary
Create speech-enabled apps with Azure AI services
Introduction
Provision an Azure resource for speech
Use the Azure AI Speech to Text API
Use the text to speech API
Configure audio format and voices
Use Speech Synthesis Markup Language
Exercise - Create a speech-enabled app
Knowledge check
Summary
Translate speech with the Azure AI Speech service
Introduction
Provision an Azure resource for speech translation
Translate speech to text
Synthesize translations
Exercise - Translate speech
Knowledge check
Summary
Develop natural language processing solutions with Azure AI Services at Microsoft Entry Requirements
- Before starting this learning path, you should already have:Familiarity with Azure and the Azure portal.Experience programming with C# or Python. If you have no previous programming experience, we recommend you complete the Take your first steps with C# or Take your first steps with Python learning path before starting this one.
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Data ScienceDeep LearningNLP and Text MiningDevelop natural language processing solutions with Azure AI Services