DP-3007 Train and deploy a machine learning model with Azure Machine Learning
E-Learning
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.
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.
| Lesson Id | Title | Description |
|---|---|---|
| 1 | Make data available in Azure Machine Learning |
Understand URIs Create a datastore Create a data asset |
| 2 | Work with compute targets in Azure Machine Learning |
Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster |
| 3 | Work with environments in Azure Machine Learning |
Understand environments Explore and use curated environments Create and use custom environments |
| 4 | Run a training script as a command job in Azure Machine Learning |
Convert a notebook to a script Run a script as a command job Use parameters in a command job |
| 5 | Track model training with MLflow in jobs |
Track metrics with MLflow View metrics and evaluate models |
| 6 | Register an MLflow model in Azure Machine Learning |
Log models with MLflow Understand the MLflow model format Register an MLflow model |
| 7 | Deploy a model to a managed online endpoint |
Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints |
Self-Paced
Free
This course includes: :
Full lifetime access