Level up your SageMaker skills! Learn professional ML techniques with real datasets, feature engineering, model validation, and deployment best practices.
Master AWS SageMaker from scratch! Learn what it is, set up your first ML workspace, optimize costs, automate with Terraform, and build your first ML model with Jupyter notebooks.
Discover how to transform raw data into meaningful features that improve your model's performance, with practical examples and best practices.
Learn about data cleaning, deduplication, and how to split your data properly to build effective machine learning models.