Develop natural language solutions in Azure

Natural language solutions use language models to interpret the semantic meaning of written or spoken language, and in some cases respond based on that meaning. You can use the Language service to build language models for your applications, and explore Microsoft Foundry to use generative models for speech.

Analyze text with Azure LanguageThe Azure Language service enables you to create intelligent apps and services that extract semantic information from text. Introduction Provision an Azure Language resource Detect language Extract key phrases Analyze sentiment Extract entities Extract linked entities Exercise - Analyze text Module assessment Summary Create question answering solutions with Azure LanguageThe question answering capability of the Azure 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 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 Module assessment Summary Build a conversational language understanding modelThe Azure 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 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 a conversational language understanding model Module assessment Summary Create custom text classification solutionsThe Azure 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 Module assessment Summary Custom named entity recognitionBuild 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 Module assessment Summary Translate text with Azure Translator serviceThe Translator service enables you to create intelligent apps and services that can translate text between languages. Introduction Provision an Azure Translator resource Understand language detection, translation, and transliteration Specify translation options Define custom translations Exercise - Translate text with the Azure Translator service Module assessment Summary Create speech-enabled apps with Microsoft FoundryThe Azure 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 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 Module assessment Summary Translate speech with the Azure Speech serviceTranslation 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 Module assessment Summary Develop an audio-enabled generative AI applicationA voice carries meaning beyond words, and audio-enabled generative AI models can interpret spoken input to understand tone, intent, and language. Learn how to build audio-enabled chat apps that listen and respond to audio. Introduction Deploy a multimodal model Develop an audio-based chat app Exercise - Develop an audio-enabled chat app Module assessment Summary Develop an Azure AI Voice Live agentLearn how to develop an Azure AI Voice Live agent using the Voice Live API and SDK. This module covers the fundamentals of the Voice Live platform, including API integration, SDK usage, and building conversational AI agents. Introduction Explore the Azure Voice Live API Explore the AI Voice Live client library for Python Exercise - Develop an Azure AI Voice Live agent Module assessment Summary