The first session provides a brief theoretical overview of the general machine learning cycle, including data preprocessing, model training and deployment, model monitoring and how to set up and run this workflow, all within the Amazon SageMaker environment for a simple Linear Learner (logistic regression) model.
The training includes theory, demos, and hands-on exercises. After this training, you will have gained knowledge about:
- Model training and deployment within SageMaker
- SageMaker built-in algorithms
- Deploying to an endpoint vs. batch transform for inference