Practical Data Science with Amazon SageMaker

current course dates can be found at the bottom of this page … company training available on request!

Course 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.

Course objectives

In this course, you will learn 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.

Intended audience

This course is intended for:

• A technical audience at an intermediate level

Prerequisites

We recommend that attendees of this course have:

• Working knowledge of a programming language

Activities

This course includes:

• Training with instructor
• Practical exercises

Course duration / Price

• 1 day / € 750.00 (excl. tax) per person (DE)

Course outline

• Business problem: Churn prediction
• Load and display the dataset
• Assess features and determine which Amazon SageMaker algorithm to use
• Use Amazon Sagemaker to train, evaluate, and automatically tune the model
• Deploy the model
• Assess relative cost of errors

IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

Course materials are in English, on request also in German (if available).
Course language is German, on request also in English.