Develop natural language processing solutions with Azure AI Services

AI Engineer
Azure AI services

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 learning path, you should already have:

Modules in this learning path

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

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.

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.

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.

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

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

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.

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.