You will be introduced to Amazon SageMaker Studio, the first integrated development environment (IDE) for machine learning. It brings together a broad set of purpose-built tools covering the entire machine learning lifecycle. With Amazon SageMaker Studio, developers can write code, track experiments, visualize data, and perform debugging and monitoring all within a single, integrated visual interface, which significantly boosts productivity. You will get hands-on experience on no-code/low-code solutions for model development in AWS.
Presenters:
Sherry Ding, Ph.D. - AI/ML Solutions Architect, AWS
Gabriel Brackman - Solutions Architect, AWS
Read More