- Use Azure Language in Foundry Tools to built text analysis solutions.
In this module, you'll learn how to use Azure Language in Foundry Tools to:
- Detect language from text
- Analyze text sentiment
- Extract key phrases, entities, and linked entities
- Learn how to build an AI agent that uses the Azure Language MCP server to perform text analysis tasks like entity recognition, sentiment analysis, and summarization.
After completing this module, you'll be able to:
- Describe the Azure Language MCP server and the text analysis capabilities it exposes.
- Explain how MCP enables dynamic tool discovery and selection by AI agents.
- Connect the Azure Language MCP server to an agent in Microsoft Foundry.
- Build a Python client application that invokes an agent to perform text analysis.
- A voice carries meaning beyond words. Learn how to use models that transcribe and synthesize speech.
After completing this module, you'll be able to:
- Deploy speech-capable generative AI models in Microsoft Foundry.
- Use a generative AI model to transcribe speech.
- Use a generative AI model to synthesize speech.
- Create speech-enabled apps with Azure Speech in Microsoft Foundry Tools.
In this module, you'll learn how to:
- Use a Microsoft Foundry resource for Azure Speech in Foundry Tools
- Implement speech recognition with the Azure Speech to text API
- Use the Text to speech API to implement speech synthesis
- Configure audio format and voices
- Use Speech Synthesis Markup Language (SSML)
- Learn how to build an AI agent that uses the Azure Speech MCP server to perform speech-to-text and text-to-speech tasks.
After completing this module, you'll be able to:
- Describe the Azure Speech MCP server and the speech capabilities it exposes.
- Explain how MCP enables dynamic tool discovery and selection by AI agents.
- Set up Azure Blob Storage for audio file input and output.
- Connect the Azure Speech MCP server to an agent in Microsoft Foundry.
- Build a Python client application that invokes an agent to perform speech tasks.
- Learn how to develop an Azure Speech Voice Live Agent using the Voice Live API and SDK in Microsoft Foundry.
After completing this module, you'll be able to:
- Describe the core components and capabilities of the Azure Speech Voice Live platform.
- Use the Voice Live API to create conversational AI solutions.
- Use the Voice Live SDK to build and deploy conversational AI solutions.
- Integrate Microsoft Foundry agents with the Voice Live API to create voice agents.
- Translate text and speech using Azure Translator and Azure Speech in Foundry Tools
After completing this module, you'll be able to:
- Identify options for translating text and speech in Microsoft Foundry Tools
- Use Azure Translator in Foundry Tools to translate text
- Use Azure Speech in Foundry Tools to translate speech
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Syllabus
- Analyze text with Azure Language in Foundry Tools
- Introduction
- Azure Language in Microsoft Foundry Tools
- Detect language
- Extract key phrases
- Analyze sentiment
- Extract entities
- Extract linked entities
- Exercise - Analyze text
- Module assessment
- Summary
- Develop a text analysis agent with the Azure Language MCP server
- Introduction
- Understand the Azure Language MCP server
- Connect and use the Language MCP server with an agent
- Exercise - Develop a text analysis agent
- Knowledge check
- Summary
- Develop a speech-capable generative AI application
- Introduction
- Choose a speech-capable model
- Transcribe speech
- Synthesize speech
- Exercise - Use speech-capable generative AI models
- Module assessment
- Summary
- Create speech-enabled apps with Azure Speech in Microsoft Foundry Tools
- Introduction
- Azure Speech in Foundry Tools
- Use the Speech to Text API
- Use the Text to Speech API
- Configure audio format and voices
- Use Speech Synthesis Markup Language
- Exercise - Create a speech-enabled app
- Module assessment
- Summary
- Develop a speech agent with the Azure Speech MCP server
- Introduction
- Understand the Azure Speech MCP server
- Connect and use the Speech MCP server with an agent
- Exercise - Use Azure Speech in an agent
- Knowledge check
- Summary
- Develop an Azure Speech Voice Live Agent in Microsoft Foundry
- Introduction
- Explore the Azure Voice Live API
- Explore the AI Voice Live client library for Python
- Create a Voice Live agent
- Exercise - Develop a Voice Live agent
- Module assessment
- Summary
- Translate text and speech with Microsoft Foundry Tools
- Introduction
- Translation in Microsoft Foundry
- Translate text
- Translate speech
- Exercise - Translate text and speech
- Module assessment
- Summary
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Reviews
5.0 rating, based on 4 Class Central reviews
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The *Develop Natural Language Processing Solutions with Azure AI Services* course provides a comprehensive introduction to building NLP solutions using Microsoft's powerful Azure AI platform. The course offers a solid foundation for understanding an…
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it was more useful for me.i learned more logics from this course and i learned how to do internships ang how to get free cirtificates.i actively focused on this course and successfully completed my internship.
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The *Develop Natural Language Processing Solutions with Azure AI Services* course provides a comprehensive introduction to building NLP solutions using Microsoft's powerful Azure AI platform. The course offers a solid foundation for understanding an…
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This course is exceptional! Engaging content, comprehensive material, and insightful instruction make it a must for anyone seeking to deepen their understanding in the subject. The pacing is just right, ensuring that even complex concepts are digestible. Interactive elements and practical exercises enhance learning, while the instructors' expertise shines through. Whether you're a novice or seasoned professional, this course offers valuable insights and skills to propel your knowledge forward. Highly recommended!