Lab
A Cloud Guru

Creating a Cognitive Services Resource Using the Azure Portal

In this hands-on lab, we use the Azure Portal to create an Azure Cognitive Service resource. We log in to the Azure Portal, create the resource, and examine several of its properties such as its API endpoint and key. This lab teaches the skills required to set up a Cognitive Service resource to perform operations such as text analysis, face recognition, and content mediation.

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Path Info

Level

Beginner

Duration

30m

Published

Dec 06, 2019

Challenge

Log In to the Azure Portal

Start by logging in to the Azure Portal using the credentials provided when starting the lab.
Challenge

Create the Cognitive Services Resource
1. Click on + Create a resource to open the marketplace.
2. Search for "Cognitive Services".
3. Click on the Cognitive Services search result, and click Create.
4. On the Create form, set the following values:
  - Name: Give a name to your cognitive resource.
  - Subscription: Leave the default Linux Academy subscription.
  - Location: Select the location of the resource group.
  - Pricing Tier: S0
  - Resource group: Select the existing resource group.
5. Select the confirmation checkbox.
6. Click Create.
Challenge

Examine the Created Cognitive Services Resource

Examine the endpoint and keys, as they are generally required for other services in a solution to use the various Cognitive Services.

Author

A Cloud Guru

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

What's a lab?

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.