Editorial course preview
What the public course preview actually shows
These 4 complementary views highlight concrete, legible examples from the course presentation.
This dashboard view illustrates the SageMaker Experiments interface, showing how to monitor and evaluate model performance using visualizations for metrics like validation accuracy.
This diagram illustrates the architecture of an unsupervised learning algorithm in Amazon SageMaker, showing the flow from raw input data through processing to categorized output.
This screenshot shows a Jupyter Notebook cell executing Python code to download and display example images of a cat and a dog for machine learning inference.
The AWS SageMaker Studio home dashboard displaying onboarding steps and quick access tiles for launching JupyterLab and Code Editor environments.
