LLMs on Azure: Custom Text Classification

Microsoft Azure, AI 2025    |    Intermediate
  • 8 videos | 49m 42s
  • Includes Assessment
  • Earns a Badge
Cloud-based AI technologies allow organizations to innovate and optimize language processing. Businesses can effectively train and deploy custom models, resulting in enhanced capabilities for handling complex classification tasks. In this course, explore custom text classification models in Azure AI, beginning with how these models fit into intelligent language services and enhance language processing capabilities. Next, learn how to set up a language project for custom text classification, design and train a model, then deploy and test a single-label classification model and ensure its effectiveness. Finally, discover how to implement multi-label classification to handle complex classification tasks where texts belong to multiple categories. After completing this course, you will be able to implement custom text classification.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Describe how to enumerate customizable models for text classification and analytics in azure
    Outline custom model building for named entity recognition and conversational ai
    Configure azure resources and set up an azure storage account for text classification
  • Implement custom text classification using azure language studio
    Analyze model performance and deploy for inference from the ui
    Implement multi-label classification using azure language studio
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 5s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 4m 44s
    After completing this video, you will be able to describe how to enumerate customizable models for text classification and analytics in Azure. FREE ACCESS
  • Locked
    3.  Custom Models for Intelligent Language Services
    6m 49s
    Upon completion of this video, you will be able to outline custom model building for named entity recognition and conversational AI. FREE ACCESS
  • Locked
    4.  Configuring Azure Resources for Custom Text Classification
    8m 10s
    During this video, discover how to configure Azure resources and set up an Azure Storage account for text classification. FREE ACCESS
  • Locked
    5.  Designing and Training a Custom Text Classification Model
    6m 49s
    Learn how to implement custom text classification using Azure Language Studio. FREE ACCESS
  • Locked
    6.  Deploying and Testing a Single-Label Classification Model
    9m 45s
    In this video, find out how to analyze model performance and deploy for inference from the UI. FREE ACCESS
  • Locked
    7.  Implementing Multi-Label Classification in AI Language Studio
    11m 6s
    Discover how to implement multi-label classification using Azure Language Studio. FREE ACCESS
  • Locked
    8.  Course Summary
    1m 14s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.

Digital badges are yours to keep, forever.

YOU MIGHT ALSO LIKE

Course LLMs on Azure: Extractive & Abstractive Document Summarization
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)
Course Azure AI Fundamentals: Evaluating Models in Azure AI
Rating 4.0 of 1 users Rating 4.0 of 1 users (1)
Course LLMs on Azure: Detect & Redact PII