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    Training: Practical Data Science with Amazon SageMaker

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    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.
    Listing Thumbnail

    Training: Practical Data Science with Amazon SageMaker

     Info

    Overview

    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 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.

    Course Objectives

    In this course, you will learn 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

    Prerequisites

    We recommend that attendees of this course have:

    • Working knowledge of a programming language

    Course duration / Price

    1 day / € 750.00 (excl. tax) per person

    Course outline

    • Business problem: Churn prediction
    • Load and display the dataset
    • Assess features and determine which Amazon SageMaker algorithm to use
    • Use Amazon Sagemaker to train, evaluate, and automatically tune the model
    • Deploy the model
    • Assess relative cost of errors

    IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

    The practical exercises are performed in prepared working environments available via web browser – no software needs to be installed. The course material is in English, spoken language can be in german or english. Other languages like spanish, portuguese or french, please contact us under training@tecracer.de 

    Highlights

    • Real-world Data Science Applications: Solve practical problems like churn prediction while covering the entire data science workflow—from data preparation to deploying machine learning models.
    • Hands-on SageMaker Experience: Use Amazon SageMaker to analyze, train, tune, and deploy models, ensuring you gain practical skills with a leading ML platform.
    • Critical Evaluation of Results: Learn to assess model outcomes thoughtfully, considering the business impact and costs of errors for informed decision-making.

    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.

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    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Support

    Vendor support

    This offer does not include a support package. Please contact training@tecracer.de  if you have any questions.

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