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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.

Before starting this Workshop, 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.

Module 1: Analyze text with Azure AI Language

The Azure AI Language service enables you to create intelligent apps and services that extract semantic information from text.

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

Module 2: Build a question answering solution

The question answering capability of the Azure AI Language service makes it easy to build applications in which users ask questions using natural language and receive appropriate answers.

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
Exercise - Create a question answering solution
Knowledge check
Summary

Module 3: Build a conversational language understanding model

The Azure AI Language conversational language understanding service (CLU) enables you to train a model that apps can use to extract meaning from natural language.

Introduction
Understand prebuilt capabilities of the Azure AI Language service
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

Module 4: Create a custom text classification solution

The Azure AI Language service enables processing of natural language to use in your own app. Learn how to build a custom text classification project.

Introduction
Understand types of classification projects
Understand how to build text classification projects
Exercise - Classify text
Knowledge check
Summary

Module 5: Create a custom named entity extraction solution

Build a custom entity recognition solution to extract entities from unstructured documents

Introduction
Understand custom named entity recognition
Label your data
Train and evaluate your model
Exercise - Extract custom entities
Knowledge check
Summary

Module 6: Translate text with Azure AI Translator service

The Translator service enables you to create intelligent apps and services that can translate text between languages.

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

Module 7: Create speech-enabled apps with Azure AI services

The Azure AI Speech service enables you to build speech-enabled applications. This module focuses on using the speech-to-text and text to speech APIs, which enable you to create apps that are capable of speech recognition and speech synthesis.

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

Module 8: Translate speech with the Azure AI Speech service

Translation of speech builds on speech recognition by recognizing and transcribing spoken input in a specified language, and returning translations of the transcription in one or more other languages.

Introduction
Provision an Azure resource for speech translation
Translate speech to text
Synthesize translations
Exercise - Translate speech
Knowledge check
Summary

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Build a natural language processing solution with Azure AI Services - Applied Skills Workshop Training Course in Finland

Finland is a country located in northern Europe. Helsinki is the capital and largest city of the country. The majority of the people are Finns but there is also a small Lapp population in Lapland, where the country is famous for the Northern Lights. Finland's national languages are Finnish and Swedish.

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Build a natural language processing solution with Azure AI Services - Applied Skills Workshop Training in Finland

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Build a natural language processing solution with Azure AI Services - Applied Skills Workshop Training in Finland

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