NTUC LearningHub Course Code: AWSPDS
In this course, learn how to solve a real-world use case with machine learning and produce actionable results using Amazon SageMaker. This course teaches you how to use Amazon SageMaker to cover the different stages of the typical data science process, from analyzing and visualizing a data set, to preparing the data and feature engineering, down to the practical aspects of model building, training, tuning and deployment.
For those interested in a guided view of the machine learning (ML) pipeline, this intermediate-level course walks technical learners through the stages of a typical data science process for ML. These stages include analysing and visualising a data set; preparing the data and feature engineering; and the practical aspects of model building, training, tuning, and deployment with Amazon SageMaker.
Built by the experts at AWS and delivered by AWS-accredited instructors, this course is the industry’s only official advanced developing course for the AWS Cloud.
In this course, you will learn how to:
We recommend that attendees of this course have the following prerequisites:
Medium of Instruction: English
Terms and conditions apply. NTUC LearningHub reserve the right to make changes or improvements to any of the products described in this document without prior notice.
Prices are subject to other LHUB miscellaneous fees.
MIGRATING TO AWS
SECURITY ENGINEERING ON AWS
SYSTEMS OPERATIONS ON AWS
ADVANCED ARCHITECTING ON AWS
ADVANCED DEVELOPING ON AWS
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