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This course walks through the stages of a typical data science process for Machine Learning from analyzing and visualizing a dataset to preparing the data, and feature engineering. Individuals will also learn practical aspects of model building, training, tuning, and deployment with Amazon ...

ML solutions on Amazon Web Services (AWS) with 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 ...

Course name: Practical Data Science with · Amazon SageMaker · Description · 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 ·

Practical Data Science With Amazon Sagemaker - Free download as PDF File (.pdf), Text File (.txt) or read online for free.

Practical Data Science with Amazon · SageMaker · AWS Classroom Training · © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. Template version 04/2020. Course description · Artificial intelligence and machine learning (AI/ML) are becoming mainstream.

In this course, you will spend a day in the life of a data scientist so that you can collaborate efficiently with data scientists and build applications that integrate with ML. You will learn the basic process data scientists use to develop ...

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These stages include analyzing and visualizing a data set; preparing the data and feature engineering; and the practical aspects of model building, training, tuning, and deployment with Amazon SageMaker...

Learning (ML) and produce actionable results using Amazon SageMaker. This course walks through · the stages of a typical data science process for Machine Learning from analyzing and visualizing a · dataset to preparing the data, and feature engineering. Individuals will also learn practical ...

Build, train, and deploy machine learning models using Amazon SageMaker. This course covers key data science concepts, including data preprocessing, model selection, and optimization, while leveraging AWS’s scalable cloud-based tools.

Build the future with us at AWS re:Invent, Dec 1 – 5, 2025 in Las Vegas, NV. Learn new skills, take home proven strategies, make lifelong connections.

In this course, you will spend a day in the life of a data scientist so that you can collaborate efficiently with data scientists and build applications that integrate with ML. You will learn the basic process data scientists use to develop ...

... This course walks through the stages of a typical data science process for Machine Learning from analyzing and visualizing a dataset to preparing the data, and feature engineering. Individuals will also learn practical aspects of model building, training, tuning, and deployment with Amazon ...

January 20, 2025 - 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 ...

With a focus on Practical Data Science with Amazon SageMaker, this course is ideal for those looking to apply ML in real-world scenarios, leveraging SageMaker's architecture and features to streamline the process.

March 26, 2025 - On this accelerated AWS Practical Data Science with Amazon SageMaker (PDSASM) course, you'll learn how to solve a real-world case with Machine Learning (ML) and produce actionable results using Amazon SageMaker.

In this course, you will spend a day in the life of a data scientist so that you can collaborate efficiently with data scientists and build applications that integrate with ML. You will learn the basic process data scientists use to develop ...