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Practical Data Science with Amazon SageMaker (PDSASM)

 

Who should attend

  • Developers
  • Data Scientists

Certifications

This course is part of the following Certifications:

Prerequisites

  • Familiarity with Python programming language
  • Basic understanding of Machine Learning

Course Objectives

  • 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 Content

In this intermediate-level course, individuals 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 cases include customer retention analysis to inform customer loyalty programs.

Online Training

Duration 1 day

Price (excl. tax)
  • 750.— €
Digital courseware

Courseware language: English

Dates and Booking
Request a date
Classroom Training

Duration 1 day

Price (excl. tax)
  • Germany: 750.— €
  • Switzerland: CHF 850.—
incl. catering Digital courseware

Courseware language: English

Dates and Booking
Request a date

Schedule

Instructor-led Online Training:   Course conducted online in a virtual classroom.
FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.
English
Time zone: Central European Summer Time (CEST)   ±1 hour
Online Training Time zone: Central European Summer Time (CEST)
Online Training This is a FLEX course.
Time zone: Greenwich Mean Time (GMT)
2 hours difference
Online Training 2 days Time zone: Gulf Standard Time (GST)
Online Training 3 days Time zone: Gulf Standard Time (GST)
Online Training This is a FLEX course.
Time zone: Gulf Standard Time (GST)
6 hours difference
Online Training Time zone: Eastern Daylight Time (EDT)
Online Training Time zone: Eastern Daylight Time (EDT)
Online Training Time zone: Eastern Daylight Time (EDT)
Online Training Time zone: Eastern Standard Time (EST)
7 hours difference
Online Training Time zone: Central Daylight Time (CDT)
FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.
Date on request
Germany
Berlin
Munich

Fast Lane Flex™ Classroom If you can't find a suitable date, don't forget to check our world-wide FLEX training schedule.

 
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