Summary
You can use conversational language understanding to build a model that predicts intents and entities from natural language utterances. A client application can then use this trained model to respond to natural language user input.
You can find out more about conversational language understanding in the Azure AI Language documentation.
Clean-up
It's a good idea at the end of a project to identify whether you still need the resources you created. Resources left running can cost you money.
If you are continuing on to other modules in this learning path you can keep your resources for use in other labs.
If you have finished learning, you can delete the resource group or individual resources from your Azure subscription:
In the Azure portal, in the Resource groups page, open the resource group you specified when creating your resource.
Click Delete resource group, type the resource group name to confirm you want to delete it, and select Delete. You can also choose to delete individual resources by selecting the resource(s), clicking on the three dots to see more options, and clicking Delete.