Discover the powerful capabilities of Sagemaker for building machine learning models in AWS. Learn about two approaches: using the SDK for traditional coding in Jupyter notebooks and the innovative AutoML for a no-code solution that streamlines the entire model-building process. With AutoML, effortlessly create a data pipeline that automatically identifies problem types and preprocesses input variables, making machine learning accessible to all.
