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Practical Data Science with Amazon SageMaker


1 Day Classroom Session   |  
1 Day Live Online
Classroom Registration
Individual:
$675.00
Live Online Registration
Live Online:
$675.00
Private Onsite Package

This course can be tailored to your needs for private, onsite delivery at your location.

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Professional Credits

IIBA (CDU)

ASPE is an IIBA Endorsed Education Provider of business analysis training. Select Project Delivery courses offer IIBA continuing development units (CDU) in accordance with IIBA standards.

PMI (PDU)

Select courses offer Leadership (PDU-L), Strategic (PDU-S) and Technical PMI professional development units that vary according to certification. Technical PDUs are available in the following types: ACP, PBA, PfMP, PMP/PgMP, RMP, and SP.

Certification
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.

Prepare a dataset for training
Train and evaluate a Machine Learning mode
Automatically tune a Machine Learning model
Prepare a Machine Learning model for production
Think critically about Machine Learning model results
Upcoming Dates and Locations
All Live Online times are listed in Eastern Time Guaranteed To Run
Request a quote for private onsite training Request
Apr 14, 2020    9:00am – 5:00pm San Francisco, California

ExitCertified
450 Sansome Street
Suite 600
San Francisco, CA 94111
United States

Register
Apr 14, 2020    12:00pm – 8:00pm Live Online Register
May 11, 2020    9:00am – 5:00pm Live Online Register
May 11, 2020    9:00am – 5:00pm McLean, Virginia

ExitCertified McLean
1760 Old Meadow Rd
Suite 210
McLean, VA 22102
United States

Register
Jun 8, 2020    9:00am – 5:00pm San Francisco, California

ExitCertified
450 Sansome Street
Suite 600
San Francisco, CA 94111
United States

Register
Jun 8, 2020    12:00pm – 8:00pm Live Online Register
Course Outline

Module 1: Introduction to Machine Learning

  1. Types of ML
  2. Job Roles in ML
  3. Steps in the ML pipeline

Module 2: Introduction to Data Prep and SageMaker

  1. Training and Test dataset defined
  2. Introduction to SageMaker

Demo: SageMaker console
Demo: Launching a Jupyter notebook

Module 3: Problem formulation and Dataset Preparation

  1. Business Challenge: Customer churn
  2. Review Customer churn dataset

Module 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

Module 5: Training and Evaluating a Model

  1. Types of Algorithms
  2. 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

Module 6: Automatically Tune a Model

  1. Automatic hyperparameter tuning with SageMaker

Exercises 6-9: Tuning Jobs

Module 7: Deployment / Production Readiness

  1. Deploying a model to an endpoint
  2. A/B deployment for testing
  3. Auto Scaling Scaling

Demo: Configure and Test Autoscaling
Demo: Check Hyperparameter tuning job
Demo: AWS Autoscaling
Exercise 10-11: Set up AWS Autoscaling

Module 8: Relative Cost of Errors

Who should attend
  • Developers
  • Data Scientists
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