Practical Data Science with Amazon SageMaker


1 Day


Delivery Methods
Virtual Instructor Led
Private Group

Course Overview

You will 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 case includes customer retention analysis to inform customer loyalty programs.

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
  • Who Should Attend?

    Developers and Data Scientists.

    United Training is committed to working as a partner with our clients. Choose United Training and take advantage of the following benefits.

    • Robust Public Enrollment Schedule. Enjoy access to hundreds of Guaranteed to Run dates across a diverse catalog of course titles.
    • Private Group Training. Let our world-class instructors come to you to deliver training at your place of business or we can present to your team online using our Virtual Instructor-Led Training platform.
    • Custom Training Solutions. Our subject matter experts can customize the class to specifically address the unique goals of your team.
    • Free Re-Takes. Most completed United Training courses carry our unbeatable Learning Guarantee. This guarantee allows students to repeat most United Training courses, if they are the same version, FREE OF CHARGE, within six months of completion of the courses. Exceptions: Cisco, Citrix, VMware, Red Hat, and courses provided by affiliated 3rd party training providers.

    Course Prerequisites

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

    1 - Introduction to Machine Learning

    • Types of ML
    • Job Roles in ML
    • Steps in the ML pipeline

    2 - Introduction to Data Prep and SageMaker

    • Training and Test dataset defined
    • Introduction to SageMaker
    • Demonstration: SageMaker console
    • Demonstration: Launching a Jupyter notebook

    3 - Problem formulation and Dataset Preparation

    • Business Challenge: Customer churn
    • Review Customer churn dataset

    4 - Data Analysis and Visualization

    • Demo: Loading and Visualizing your dataset
    • Exercise 1: Relating features to target variables
    • Exercise 2: Relationships between attributes
    • Demo: Cleaning the data

    5 - Training and Evaluating a Model

    • Types of Algorithms
    • XGBoost and SageMaker
    • Demo 5: Training the data
    • Exercise 3: Finishing the Estimator definition
    • Exercise 4: Setting hyperparameters
    • Exercise 5: Deploying the model
    • Demo: Hyperparameter tuning with SageMaker
    • Demo: Evaluating Model Performance

    6 - Automatically Tune a Model

    • Automatic hyperparameter tuning with SageMaker
    • Exercises 6-9: Tuning Jobs

    7 - Deployment / Production Readiness

    • Deploying a model to an endpoint
    • A/B deployment for testing
    • Auto Scaling Scaling
    • Demo: Configure and Test Autoscaling
    • Demo: Check Hyperparameter tuning job
    • Demo: AWS Autoscaling
    • Exercise 10-11: Set up AWS Autoscaling

    8 - Relative Cost of Errors

    • Cost of various error types
    • Demo: Binary classification cutoff

    9 - Amazon SageMaker architecture and features

    • Accessing Amazon SageMaker notebooks in a VPC
    • Amazon SageMaker batch transforms
    • Amazon SageMaker Ground Truth
    • Amazon SageMaker Neo

    Get in touch to schedule training for your team
    We can enroll multiple students in an upcoming class or schedule a dedicated private training event designed to meet your organization’s needs.


    Do You Have Additional Questions? Please Contact Us Below.

    contact us contact us 
    Contact Us about Starting Your Business Training Strategy with United Training