hands-on lab

Creating a Language Understanding Model Using Azure Language Service

Up to 1h
Get guided in a real environmentPractice with a step-by-step scenario in a real, provisioned environment.
Learn and validateUse validations to check your solutions every step of the way.
See resultsTrack your knowledge and monitor your progress.


Azure AI Service for Language is a cloud-based service that provides advanced natural language processing over raw text and includes four main functions: sentiment analysis, key phrase extraction, language detection, and entity recognition. Language understanding is one of the services that can be used to create a custom language model that can train and deploy a bot.

Organizations use custom language models to provide a more natural interaction with their bots. It helps organizations create a model that is specific to their domain and can be used to serve their customers better.

In this hands-on lab, you will be working with Azure Language Studio to create a custom language model along with custom entities and intents. You will also train and deploy the model to test the functionality of Language Services.

Learning objectives

Upon completion of this advanced-level lab, you will be able to:

  • Create a custom language model project
  • Create custom entities and intents
  • Map entities to intents
  • Train and deploy the model
  • Test the language model

Intended audience

  • Candidates for Azure AI Engineer Associate certification (AI-102)
  • Cloud Architects
  • DevOps Engineers
  • Machine Learning Engineers


Familiarity with the following will be beneficial but is not required:

  • Azure AI Services
  • Azure Language Studio

The following content can be used to fulfill the prerequisites:

Environment before

Environment after

About the author

Learning paths

Parveen is an Azure advocate with previous experience in the professional consulting services industries. He specializes in infrastructure and DevOps with a wide range of knowledge in security and access management. He is also an Azure Certified - DevOps Engineer Expert, Security Engineer, Developer Associate, Administrator Associate, CompTIA Certified - Network+, Security+, and AWS Cloud Practitioner.
Parveen enjoys writing about cloud technologies and sharing the knowledge with the community to help students upskill in the cloud.

Covered topics

Lab steps

Logging in to the Microsoft Azure Portal
Creating Intents on Custom Language Model
Training and Deploying Custom Language Model
Creating Entities and Intent Association Using Language Studio
Retrain Language Model and Test Deployment Using Language Studio