Microsoft Azure Support,
I am currently learning to use Azure Cloud, specifically Microsoft Azure Machine Learning Studio. I am using the example dataset "Automobile price data" and have successfully completed a classic training pipeline, which includes the following blocks: "Select Columns in Dataset", "Clean Missing Data", "Normalize Data", "Split Data", "Linear Regression", "Train Model", "Score Model", and "Evaluate Model". I have also successfully created a real-time inference pipeline, which includes an "Enter Data Manually" block, a "Web Service Input" block, an "Execute Python Script" block code, and a "Web Service Output" block.
However, I am encountering an issue when I try to deploy the pipeline for inference using the "Set up real-time endpoint" window. Specifically, when I click on the "Deploy" button, nothing happens and the same window remains open. My setup is "Deploy new real-time endpoint" with the following details: Name: predict-auto-price, Description: Auto Price Regression, Compute type: Azure Container Instance.
I have tried creating a new Workspace, as well as checking the access policies and permissions on the resources used in the pipeline and deployment, but the issue persists. I am using an Azure Free Account with 200 USD of credit, and I still have more than 190 USD of credit remaining.
I would greatly appreciate your help in resolving this issue, as my goal is to finish the Coursera DP-100 specialization and apply for the Data Science Azure Certification.
Thank you for your attention to this matter.
--
Carlos Alanis
Attach some images:
Pipeline Completed without errors:

Coursera Instructions:

Set up real-time endpoint WINDOW:
DEPLOY BUTTON UNPRESSED:

DEPLOY BUTTON PRESSED:

BUT NOTHING HAPPENS!!!
ALSO I SHARE YOU THE WORKSPACE OVERVIEW:

I hope that some people of the expert team can Help me, Thank you!