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Practical Data Science with Amazon SageMaker

In this intermediate-level course, individuals learn how to solve a real-world use case with Machine 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 aspects of model building, training, tuning, and deployment with Amazon SageMaker. Real life use cases include customer retention analysis to inform customer loyalty programs.

Delivery Format

  • Public Classroom

    Traditional Classroom Learning

  • Virtual Learning

    Learning that is virtual

20 courses found

    • Delivery Format: Public Classroom
    • Date 07 July, 2024
    • Location: Riyadh
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    $600.00

    • Delivery Format: Virtual Learning
    • Date 08 July, 2024
    • Location: Virtual

    $600.00

    • Delivery Format: Virtual Learning
    • Date 28 July, 2024
    • Location: Virtual
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    • Delivery Format: Public Classroom
    • Date 04 August, 2024
    • Location: Riyadh
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    $600.00

    • Delivery Format: Virtual Learning
    • Date 12 August, 2024
    • Location: Virtual

    $600.00

    $600.00

    • Delivery Format: Virtual Learning
    • Date 23 September, 2024
    • Location: Virtual

    $600.00

    • Delivery Format: Public Classroom
    • Date 29 September, 2024
    • Location: Riyadh
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