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.
Azure Machine Learning Development: 3 Deploying and Managing Models
Overview
Syllabus
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
Taught by
Sahil Malik
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