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

The fundamental-level full-day course is intended for individuals who seek an overall understanding of the AWS Cloud, independent of specific technical roles. It provides a detailed overview of cloud concepts, AWS services, security, architecture, pricing, and support. This course also helps you prepare for the AWS Certified Cloud Practitioner exam. This course includes AWS Training Exclusives.

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

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

This course covers fundamental Amazon Web Services (AWS) security and includes presentations and hands-on labs.

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 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.

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.

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

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