Amazon SageMaker Workshop

In this workshop, learn how to develop a full ML project end to end with Amazon SageMaker. Start with data exploration and analysis, data cleansing, and feature engineering with SageMaker Data Wrangler. Then, store features in SageMaker Feature Store, extract features for training with SageMaker Processing, train a model with SageMaker training, and then deploy it with SageMaker hosting. Also, learn how to use SageMaker Studio as an IDE and SageMaker Pipelines for orchestrating the ML workflow.

You will be provided with an AWS account and complete the workshop steps yourself.

Please note the following:

• You need to bring your laptop to the workshop
• Number of participants is limited

The workshop will be held by Igor Sharfmesser, Senior Solutions Architect from AWS.

This workshop is organized in collaboration with AWS, ML Community and IT Park Uzbekistan