Project 1

 

Challenge Task 1: Provision Azure Resources and Deploy Model using Microsoft Foundry

Step 1 : Go to the Azure Portal.


Step 2 : From the sidebar, go to the Resource Group section.


Step 3 : Click on Create.


Step 4: Add Details, then click Review + Create, then Create.




Step 5 : Search for Azure OpenAI in the search bar.


Step 6 : Click on the Create button, select Azure OpenAI from the dropdown.



Step 7 : Add Details.






Step 8 : Click on create.


Step 9 : Click on Go to Resource.


Step 10 : Check all the details and click on Go to Foundry Portal.


Step 11 : Note the API key and Endpoint.


Step 12 : From sidebar, go to the Model catalog and search for gpt-5-mini model.



Step 13 : Check the details and click on the Use this model button.


Step 14 : Add details and click on create.






Challenge Task 2: Clone and Configure Application

Step 15 : Clone the repository from github.



Step 16 : Open that cloned repo in VS Code.


Step 17 : Create a .env file and add your credentials, like API Key and Endpoint, and save the file.






Challenge Task 3: Deploy the Web App

Step 18 : Sign in to your Azure Portal from the VS Code terminal. 




Step 19 : Set the agent environment.




Step 20 : Run the following command to provision and deploy all the resources, provide the name of the environment - azureaiapp.

Prompt you will see:

Select the environment name: azureaiapp

select the Azure subscription: your subscription

select the location: eastus













When azd up has finished deploying, you'll see an endpoint URI in the command output. Visit that URI, and you should see the container app.




Challenge Task 4: End-User Testing

























































































































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