. DP-3007: Train and manage a machine learning model with Azure Machine Lea

Course Information

Course Name

DP-3007: Train and manage a machine learning model with Azure Machine Learning

Duration

1 Day

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 manage a machine learning model.

Audience Profile

Prerequisities

Course Outline

Module 1: Make data available in Azure Machine Learning

Module 2: Work with compute targets in Azure Machine Learning

Module 3: Work with environments in Azure Machine Learning

Module 4: Run a training script as a command job in Azure Machine Learning

Module 5: Track model training with MLflow in jobs

Module 6: Register an MLflow model in Azure Machine Learning

Module 7: Deploy a model to a managed online endpoint

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