Course Overview
Amazon SageMaker Studio helps data scientists prepare, build, train, deploy, and monitor machine learning (ML) models quickly. It does this by bringing together a broad set of capabilities purpose-built for ML. This course prepares experienced data scientists to use the tools that are a part of SageMaker Studio, including Amazon CodeWhisperer and Amazon CodeGuru Security scan extensions, to improve productivity at every step of the ML lifecycle.
Who should attend
Experienced data scientists who are proficient in ML and deep learning fundamentals.
Prerequisites
We recommend that all attendees of this course have:
- Experience using ML frameworks
- Python programming experience
- At least 1 year of experience as a data scientist responsible for training, tuning, and deploying models
- AWS Technical Essentials digital or classroom training
Course Objectives
In this course, you will learn to:
- Accelerate the process to prepare, build, train, deploy, and monitor ML solutions using Amazon SageMaker Studio