Practical Data Science with Amazon SageMaker

Kurskod GK0630

Practical Data Science with Amazon SageMaker

In this course, you will learn how to solve a real-world use case with machine learning and produce actionable results using Amazon SageMaker. 

9950 kr (exklusive moms)
1 dag
Alternativa betalsätt
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Telefon: 08-562 557 50 

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.

Target Audience and Prerequisites

This course is intended for a technical audience at an intermediate level.

We recommend that attendees of this course have working knowledge of a programming language.

Course Objectives

Using Amazon SageMaker, this course teaches you 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.

Course Details

The course covers these concepts:

  • Introduction to Machine Learning
  • Introduction to Data Prep and SageMaker
  • Problem formulation and Dataset Preparation
  • Data Analysis and Visualization
  • Training and Evaluating a Model
  • Automatically Tune a Model
  • Deployment / Production Readiness
  • Amazon SageMaker Architecture and features

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