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

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

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

Exam Prep: AWS Certified AI Practitioner (AIF-C01) is a one-day ILT where you learn how to assess your preparedness for the AWS Certified AI Practitioner (AIF-C01) exam.

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

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

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

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.