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    Practical Data Science with Amazon SageMaker

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    In this intermediate-level course, you will 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 case includes customer retention analysis to inform customer loyalty programs.
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    Practical Data Science with Amazon SageMaker

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    Overview

    Course Objectives In this course, you will learn how to:

    • Prepare a dataset for training
    • Train and evaluate a Machine Learning model
    • Automatically tune a Machine Learning model
    • Prepare a Machine Learning model for production
    • Think critically about Machine Learning model results

    Highlights

    • - The First Authorised Training Partner of AWS with full license in HK
    • - The Most Training Schedules delivered by AWS Authorized Instructors (AAI) and AAI Champion - Best Price Guaranteed
    • - Trained over 50,000 talents in Asia

    Details

    Delivery method

    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

    Legal

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    Support

    Vendor support

    For upcoming schedules or other AWS training enquiries, please contact Kylin Chan at +852 2116 5586 or kylin.chan@kornerstone.com