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

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.

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

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

This introductory course will teach you about AWS products, services, and common solutions. You will learn the fundamentals of identifying AWS services so that you can make informed decisions about IT solutions based on your business requirements.

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

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.

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

Architecting on AWS covers the fundamentals of building IT infrastructure. This three-day course is ideal for IT professionals who want to learn how to optimize the use of the AWS cloud by understanding AWS services and how they fit together into cloud-based solutions.