Prepare, build, train, deploy, and monitor machine learning (ML) models with AWS SageMaker. Amazon SageMaker Studio helps data scientists rapidly prepare, build, train, deploy, and monitor machine learning (ML) models. To do this, it brings together a wide range of features specifically designed for machine learning.This advanced-level training prepares experienced data scientists to use the tools integrated into SageMaker Studio—including the Amazon CodeWhisperer and Amazon CodeGuru Security Scan extensions—to improve productivity at every stage of the machine learning lifecycle. This course includes presentations, hands-on exercises, demonstrations, discussions between participants and the instructor, and a capstone project.- Course level: Advanced - Duration: 3 days Updated June 2026 Day 1Module 1: Amazon SageMaker Studio SetupJupyterLab Extensions in SageMaker StudioDemonstration: SageMaker user interface demoModule 2: Data ProcessingHands-On Lab: Analyze and prepare data using Amazon SageMaker Data WranglerHands-On Lab: Analyze and prepare data at scale using Amazon EMRHands-On Lab: Data processing using Amazon SageMaker Processing
