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Develop natural language solutions in Azure - Microsoft
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 Azure AI Foundry to use generative models for speech.
Learning Outcomes
- Analyze text with Azure AI Language
- Create question answering solutions with Azure AI Language
- Custom named entity recognition
- Translate text with Azure AI Translator service
- Develop an audio-enabled generative AI application
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 theTake your first steps with C#orTake your first steps with Pythonlearning path before starting this one.
Resource details
| Contributed by: | Generative AI |
| Authored by: |
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| Licence: | More information on licences |
| First contributed: | 02 July 2025 |
| Audience access level: | Full user |
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