Moocable is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
Description
- Module 1: Preprocess large datasets with Azure Machine Learning
In this module, you'll learn how to:
- Know when to choose CPU or GPU compute in Azure Machine Learning.
- Efficiently store data in an Azure Data Lake Storage Gen2.
- Optimize data loading and preprocessing.
- Module 2: Train compute-intensive models with Azure Machine Learning
In this module, you'll learn:
- How to train a model with GPUs in Azure Machine Learning.
- When to use which GPU option.
- How to distribute model training.
- Module 3: Deploy deep learning workloads to production with Azure Machine Learning
In this module, you'll learn:
- To choose the appropriate inference strategy
- To optimize model scoring with ONNX
- To deploy Triton as a managed online endpoint
Online Courses 
Microsoft Learn
Free 
1 hour 41 minutes 
Train compute-intensive models with Azure Machine Learning
Affiliate notice
-
TypeOnline Courses
-
ProviderMicrosoft Learn
-
PricingFree
-
Duration1 hour 41 minutes
- Module 1: Preprocess large datasets with Azure Machine Learning
In this module, you'll learn how to:
- Know when to choose CPU or GPU compute in Azure Machine Learning.
- Efficiently store data in an Azure Data Lake Storage Gen2.
- Optimize data loading and preprocessing.
- Module 2: Train compute-intensive models with Azure Machine Learning
In this module, you'll learn:
- How to train a model with GPUs in Azure Machine Learning.
- When to use which GPU option.
- How to distribute model training.
- Module 3: Deploy deep learning workloads to production with Azure Machine Learning
In this module, you'll learn:
- To choose the appropriate inference strategy
- To optimize model scoring with ONNX
- To deploy Triton as a managed online endpoint
Loading...
Saving...
Loading...