Develop your ML project with Amazon SageMaker
summary
Covers end-to-end ML development using Amazon SageMaker: data preprocessing and feature engineering, training models with SageMaker Training, and deploying models using SageMaker Hosting. Also demonstrates using SageMaker Studio as the integrated development environment for these steps.
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chapters (6)
- 0:00Start
- 3:19Amazon SageMaker Studio
- 10:35Amazon SageMaker Training
- 13:40Training Estimator - Script Mode
- 16:06SageMaker Deployment - Real Time Inference
- 17:38SageMaker Deployment - Async Inference
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