Operationalize machine learning and generative AI solutions (AI-300)
Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language.
Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language.
More Information:
- Learning Style: Virtual
- Technology: Microsoft
- Difficulty: Intermediate
- Course Duration: 4 Days
- Course Info: Download PDF
- Certificate: See Sample
Need Training for 5 or More People?
Customized to your team's need:
- Annual Subscriptions
- Private Training
- Flexible Pricing
- Enterprise LMS
- Dedicated Customer Success Manager
Course Information
About This Course:
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.
Course Objectives:
-
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
Audience:
-
AI Engineers and Developers interested in building natural language processing (NLP) solutions
-
Software Developers working with conversational AI and language-based applications\
Prerequisites:
-
Familiarity with Azure and the Azure portal.
-
Experience programming with C# or Python.