Train and deploy a machine learning model with Azure Machine Learning

Overview

To train a machine learning model with Azure Machine Learning, you need to make data available and configure the necessary compute. After training your model and tracking model metrics with MLflow, you can decide to deploy your model to an online endpoint for real-time predictions. Throughout this learning path, you explore how to set up your Azure Machine Learning workspace, after which you train and deploy a machine learning model.

Pre-requisites

None

Course Role

Learners

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Course Features

Duration 1 Days
Language English
Delivery Virtual
Certificate Yes

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Overview

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