Train compute intensive models with Azure Machine Learning
- Offered byMicrosoft
Train compute intensive models with Azure Machine Learning at Microsoft Overview
Duration | 1 hour |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Advanced |
Official Website | Explore Free Course |
Credential | Certificate |
Train compute intensive models with Azure Machine Learning at Microsoft Course details
- Preprocess large datasets with Azure Machine Learning
- Train compute-intensive models with Azure Machine Learning
- Deploy deep learning workloads to production with Azure Machine Learning
- Learn when to choose GPU compute, and how different frameworks help you to make optimal use of GPU compute during preprocessing, model training, and deployment
- By monitoring workloads, you can find the optimal compute configuration
- Learn what you can do and which frameworks you can use to optimize your model's performance during model scoring
Train compute intensive models with Azure Machine Learning at Microsoft Curriculum
Preprocess large datasets with Azure Machine Learning
Introduction
Choose the appropriate AI approach for your data
Efficient data storage options
Optimize data loading and preprocessing in Azure Machine Learning
Exercise: Preprocess data with RAPIDs
Knowledge check
Summary
Train compute-intensive models with Azure Machine Learning
Introduction
Train compute-intensive models with Azure Machine Learning
Choose the appropriate Nvidia GPU option
Exercise: Train a deep learning model with Azure Machine Learning
Distributed training with Azure Machine Learning
Knowledge check
Summary
Deploy deep learning workloads to production with Azure Machine Learning
Introduction
Choose the appropriate inference strategy
Standardize model formats and scale model deployment with ONNX and Triton
Exercise: Deploy an ONNX model with Triton in Azure Machine Learning
Knowledge check
Summary