Overview
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Learn how to deploy and manage machine learning models in Azure Machine Learning Studio. Discover how to deploy, scale, and manage your trained models in production scenarios.
Syllabus
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Introduction
- Deploy and manage machine learning models
- What you should know
- What is Azure Machine Learning?
- Create a machine learning workspace
- Create a simple experiment
- Train the experiment
- Create a predictive experiment
- Deploy the experiment as web service
- A walkthrough of the service
- Scale and geographic deployment of your service
- Enable and view logs
- Provision an instance of API management
- Register and use our model from API management
- Restructure the URL using API management
- Structuring authentication with API manamgent
- Other possibilities API management offers
- Next steps
