LLMs on Azure: Key Phrase Extraction & Entity Recognition

Microsoft Azure, AI 2025    |    Intermediate
  • 9 videos | 55m 31s
  • Earns a Badge
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)
Azure AI Language APIs and SDKs empower businesses to process and understand large volumes of text data. By implementing advanced text analytics, organizations can swiftly extract key information and recognize entities. In this course, learn about Azure AI Language APIs and SDKs and how to set up a virtual environment and install the azure-ai-textanalytics package. Next, discover how to access the Language resource using an endpoint and key and perform key phrase detection using client SDKs and REST APIs. Finally, explore how to implement linked entity recognition in Python, use asyncio for faster data set processing, and perform named entity recognition. After completing this course, you will be able to outline and perform key phrase extraction and entity recognition.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Outline the azure ai language apis and sdks used for text analytics tasks
    Set up a python virtual environment for sdk development
    Utilize azure ai language resources to perform key phrase extraction
    Perform key phrase extraction using client sdk and rest api methods
  • Perform linked entity recognition using azure's text analytics client in python
    Implement asynchronous entity recognition using python's asyncio library and azure's text analytics api
    Perform named entity recognition using azure sdks and the rest api
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 14s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 2m 42s
    Upon completion of this video, you will be able to outline the Azure AI Language APIs and SDKs used for text analytics tasks. FREE ACCESS
  • Locked
    3.  Creating a Virtual Environment and Installing azure-ai-textanalytics
    6m 32s
    Learn how to set up a Python virtual environment for SDK development. FREE ACCESS
  • Locked
    4.  Accessing the Language Resource Using Endpoints and Keys
    7m 50s
    During this video, discover how to utilize Azure AI Language resources to perform key phrase extraction. FREE ACCESS
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    5.  Performing Key Phrase Extraction with Client SDKs and REST APIs
    8m 10s
    Find out how to perform key phrase extraction using client SDK and REST API methods. FREE ACCESS
  • Locked
    6.  Implementing Linked Entity Recognition in Python
    7m 5s
    In this video, you will learn how to perform linked entity recognition using Azure's Text Analytics client in Python. FREE ACCESS
  • Locked
    7.  Asynchronously Executing Linked Entity Recognition with asyncio
    11m 10s
    Discover how to implement asynchronous entity recognition using Python's asyncio library and Azure's Text Analytics API. FREE ACCESS
  • Locked
    8.  Executing Named Entity Recognition via Azure SDKs and the REST API
    9m 23s
    In this video, find out how to perform named entity recognition using Azure SDKs and the REST API. FREE ACCESS
  • Locked
    9.  Course Summary
    1m 26s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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