Develop natural language processing solutions with Azure AI Services : AI-3003

Course outline

Duration : 1 Day

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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.
Audience	AI Engineer Developer
Prerequisites	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.
Objectives	Design Natural Language Processing Solutions with Azure AI Language. Create text analysis solutions using pre-configured features. Train models for customized language solutions, including named entity recognition. Understand, synthesize, and translate speech.
Contents	Analyze text with Azure AI Language Create question answering solutions with Azure AI Language Build a conversational language understanding model Create a custom text classification solution Custom named entity recognition Translate text with Azure AI Translator service Create speech-enabled apps with Azure AI services Translate speech with the Azure AI Speech service