This course prepares experienced data scientists to use the tools that are a part of SageMaker Studio,

In this course, you will learn how to build an operational data lake that supports structured and unstructured data analysis.

The Developing Generative AI Applications on AWS course introduces participants to building generative AI applications using AWS services like Amazon SageMaker, AWS Lambda, and other AI-driven tools for real-time solutions.

This course teaches experienced developers how to programmatically interact with AWS services to build web solutions.

DevOps Engineering on AWS teaches you to streamline the design, development, deployment, and maintenance of applications on AWS using a DevOps methodology.

Selected workshops on Security and Disaster Recovery.

Dive into the world of generative AI with this comprehensive one-day course designed for business professionals and IT specialists.

This course builds upon and extends the DevOps methodology prevalent in software development to build, train, and deploy machine learning (ML) models.

Learn the basic process data scientists use to develop ML solutions on Amazon Web Services (AWS) with Amazon SageMaker.

This course explores how to the use of the iterative machine learning (ML) process pipeline to solve a real business problem in a project-based learning environment.