Practical Data Science with Amazon SageMaker (PDSASM)

 

Course Overview

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.

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

Follow On Courses

Prices & Delivery methods

Online Training

Duration
1 day

Price
  • 750.— €

Courseware language: English

Classroom Training

Duration
1 day

Price
  • Germany: 750.— €
  • Switzerland: CHF 850.—

Courseware language: English

Schedule

Guaranteed date:   The course is guaranteed to run regardless of the number of participants. This excludes unforeseeable events (e.g. accident, illness of the trainer) which make it impossible to carry out the course.
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 Time (CET)   ±1 hour

Online Training Time zone: Greenwich Mean Time (GMT) Guaranteed date!
Online Training Time zone: British Summer Time (BST)
Online Training Time zone: British Summer Time (BST)
Online Training Time zone: Greenwich Mean Time (GMT)

6 hours difference

Online Training Time zone: UTC+8
Online Training Time zone: UTC+8

7 hours difference

Online Training Time zone: UTC+8
FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.

Germany

Berlin
Frankfurt

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