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.

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. You will have the option of choosing a follow-up day for an AWS Jam and Exam Prep.

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 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.

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.

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