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Course Code: 821555
Are you interested in machine learning, but not sure where to start? Join us for this session with an AWS expert and demystify the basics. Using real-world examples, you’ll learn about important concepts, terminology, and the phases of a machine learning pipeline. Le...
Course Code: 821556
Whether you are thinking of migrating to the AWS Cloud or already have a workload running on AWS, securing your data and resources should be at the top of the list. This event introduces several AWS services that you can use to improve your current security posture....
Watch this one-hour webinar where our AWS course director and master instructor Rich Morrow discusses best practices and techniques.
Course Code: 910026
Designed for novice and experienced networking engineers, this course covers essential topics, best practices, and hands-on labs. Its purpose is to equip learners with the knowledge and skills that are required to design, configure, and optimize network infrastructur...
Course Code: 910027
Gain a solid understanding of use cases where generative AI can provide solutions and address business needs. Additionally, you will learn about practical insights into technologies related to generative AI and how you can use those technologies to solve real-world p...
Course Code: 110001
Amazon SageMaker Studio helps data scientists prepare, build, train, deploy, and monitor machine learning (ML) models quickly. It does this by bringing together a broad set of capabilities purpose-built for ML. This course prepares experienced data scientists to use...
Course Code: 4532
This course is for individuals who seek an understanding of how to plan and migrate existing workloads to the AWS Cloud. GK# 4532. Virtual Classroom Live.
Course Code: 4375
Validate new skills & apply knowledge to your working environment through a variety of practical exercises. Best practices for data warehousing solutions.
Course Code: 100630
Prepping data sets for machine learning and thinking about results
Course Code: 100963
Learn how to run Kubernetes on AWS without needing to maintain your own Kubernetes control plane.
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On-Demand 
Virtual Classroom Live