Train compute-intensive models with Azure Machine Learning
This repository contains the hands-on lab exercises for the self-paced modules on Microsoft Learn. The exercises are designed to accompany the learning materials and enable you to practice using the technologies they describe.
These exercises requires an Azure subscription and rights to create a GPU Virtual Machine. If you do not already have an Azure subscription, sign up at https://azure.microsoft.com. To check the available GPU VMs, you can run the az vm list-skus command from the Azure Cloud Shell.
| Module | Lab |
|---|---|
| Set up: Create an Azure Machine Learning workspace | |
| Module: Preprocessing large datasets with Azure Machine Learning | Load and preprocess data with RAPIDS |
| Module: Train compute-intensive models with Azure Machine Learning | Train a PyTorch model with a GPU compute cluster |
| Module: Deploy deep learning workloads to production with Azure Machine Learning | Deploy Triton with an ONNX model to a managed online endpoint |