Take your machine learning project from development to production by building and deploying a complete web application on Microsoft Azure. In this course, you'll create a frontend with Streamlit, connect it to your Azure ML model endpoints, manage your project with Git & GitHub, and deploy the application to Azure. By the end of the course, you'll have a fully functional cloud-hosted AI web application that users can access from anywhere.
Recap NYC Use-Case
FREE PREVIEWLab 1
Git & Github
ENROLLMENT REQUIREDLab 2
Python | Virtual Environment | Project Secrets
ENROLLMENT REQUIREDLab 3
Connect Streamlit to Azure ML Endpoints
ENROLLMENT REQUIREDLab 4
Pushed Code on Github
ENROLLMENT REQUIREDLab 5
Web App Deployment
ENROLLMENT REQUIREDLab 6
Azure App Configuration
ENROLLMENT REQUIREDLab 7
Resources
ENROLLMENT REQUIREDLab 8