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

Learn to train and deploy machine learning models with Azure Machine Learning. Develop expertise in Azure services, MLflow, and Python for effective model deployment.

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Microsoft Instructor-led Training

Course Description

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.

 

About this Course

  • Make data available in Azure Machine Learning
  • Work with compute targets in Azure Machine Learning
  • Work with environments in Azure Machine Learning
  • Run a training script as a command job in Azure Machine Learning
  • Track model training with MLflow in jobs
  • Register an MLflow model in Azure Machine Learning
  • Deploy a model to a managed online endpoint
 

1 Day

none

Intermediate

  • Azure Machine Learning
  • Azure

Data Scientist

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