Practical Data Science with Amazon SageMaker

Discover how to leverage Amazon SageMaker to transform your data science skills into actionable results with our Practical Data Science course, designed specifically for intermediate-level technical professionals.

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Essential Skills Gained

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Prepare a dataset for training.

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Train and evaluate a machine learning model.

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Automatically tune a machine learning model.

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Prepare a machine learning model for production.

Format

  • Instructor-led
  • 1 days with lectures and hands-on labs.

Audience

  • Intermediate-level technical professionals
  • Data scientists
  • Machine learning engineers
  • Software developers

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.

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Upcoming Course Dates

August 18-18, 2025

9:00 AM - 5:00 PM

Virtual: Online - US/Eastern

Enroll

$675

August 22-22, 2025

6:30 AM - 2:30 PM

Virtual: Online - America/Los_Angeles

Enroll

$675

August 26-26, 2025

9:00 AM - 5:00 PM

Virtual: Online - US/Eastern

Enroll

$675

Course Outline

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Business problem: Churn prediction

  1. Load and display the dataset

  2. Assess features and determine which Amazon SageMaker algorithm to use

  3. Use Amazon Sagemaker to train, evaluate, and automatically tune the model

  4. Deploy the model

  5. Assess relative cost of errors

Your Team has Unique Training Needs.

Your team deserves training as unique as they are.

Let us tailor the course to your needs at no extra cost.