( Duration: 2 Days )

The Amazon SageMaker training course gives analysts insight into SageMaker as a fully-managed service that covers the entire Machine Learning workflow. The course begins with delegates learning the ability to label and prepare data, choosing an algorithm and training the algorithm. Next the course covers how to tune and optimize the algorithm for deployment, make predictions and take action. The course concludes with a lesson on forecasting.

This course includes a hands-on investigation of datasets as well as plotting data with Amazon SageMaker. Delegates should have a familiarity with programming in at least one programming language and a basic familiarity with AWS.

By attending SageMaker workshop, delegates will:

  • Describe how Machine Learning differs from business analytics.
  • Discern forecasting and how it is done in SageMaker.
  • Apply skills learned to predictive analysis (price prediction).

This SageMaker course is for Analysts, Data Scientists, and Software Developers



What is Machine Learning and How it is Different From Business Analytics

  • Machine Learning use cases
  • Investigating datasets using SageMaker SQL
  • Plotting your data in SageMaker Jupyter notebooks

Price Prediction

  • House price prediction
  • Where price prediction is applicable
  • How it is done in SageMaker


  • Introduction to forecasting
  • Model, seasonality, other factors
  • How forecasting is done in SageMaker

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 4,000 Modules on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 50,000 Corporate executives across the Globe
  • All our trainings are conducted in workshop mode with more focus on hands-on sessions

View our other course offerings by visiting http://encartalabs.com/course-catalogue-all.php

Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.