AWS/Practical Data Science with Amazon SageMaker

Practical Data Science with Amazon SageMaker Certification Training Course Overview

Enroll for 1-day Practical Data Science with Amazon SageMaker from Koenig Solutions accredited by AWS. In this course learn about 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.

Target Audience:

  • Developers
  • Data scientists

Learning Objectives:

After completing this course, you will be able 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

 

 

Practical Data Science with Amazon SageMaker (8 Hours) Download Course Contents

Live Virtual Classroom Fee On Request
Group Training
01 Nov GTR 09:00 AM - 05:00 PM CST
(8 Hours/Day)

06 Dec GTR 09:00 AM - 05:00 PM CST
(8 Hours/Day)

1-on-1 Training (GTR)
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

GTR=Guaranteed to Run
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request
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Course Prerequisites
  • Familiarity with Python programming language
  • Basic understanding of machine learning