Codice
Durata
Prezzo
Lingua
Develop natural language solutions in Azure (AI-3003)
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.
Modalità di erogazione
In aula o Live Virtual Classroom
Attestato di partecipazione
Al termine del corso verrà rilasciato l’attestato di frequenza
Analyze text with Azure Language in Foundry Tools
Develop a text analysis agent with the Azure Language MCP server
Develop a speech-capable generative AI application
Create speech-enabled apps with Azure Speech in Microsoft Foundry Tools
Develop a speech agent with the Azure Speech MCP server
Develop an Azure Speech Voice Live Agent in Microsoft Foundry
Translate text and speech with Microsoft Foundry Tools
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.
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 Microsoft Foundry to develop AI apps and agents that can analyze text, transcribe and synthesize speech, and translate languages.