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Practical Data Science with Amazon SageMaker (PDSASM)

 

Course Content

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

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

Outline: Practical Data Science with Amazon SageMaker (PDSASM)

Module 1: Introduction to Machine Learning

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

Module 2: Introduction to Data Prep and SageMaker

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

Module 3: Problem formulation and Dataset Preparation

  • Business Challenge: Customer churn
  • 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

  • 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

Module 6: Automatically Tune a Model

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

Module 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

Module 8: Relative Cost of Errors

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

Module 9: Amazon SageMaker Architecture and features

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

Duration 1 day

Price
  • Canada: CAD 890
Online Training

Duration 1 day

Price
  • Canada: CAD 890
 
Click on town name to book Schedule
This is an Instructor-Led Classroom course
This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
This is a FLEX course, which is delivered both virtually and in the classroom.
  *   This class is delivered by a partner.
Canada

Currently there are no training dates scheduled for this course.  For enquiries please write to info@fastlaneca.com.

United States
Mar 16, 2020 McLean 09:00 US/Eastern * Enroll
Mar 16, 2020 Online Training 09:00 US/Eastern * Enroll
Apr 14, 2020 San Francisco, CA 09:00 US/Pacific * Enroll
Apr 14, 2020 Online Training 12:00 US/Eastern * Enroll
May 11, 2020 McLean 09:00 US/Eastern * Enroll
May 11, 2020 Online Training 09:00 US/Eastern * Enroll
Jun 8, 2020 San Francisco, CA 09:00 US/Pacific * Enroll
Jun 8, 2020 Online Training 12:00 US/Eastern * Enroll

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

Europe
Germany
Apr 14, 2020 Berlin Enroll
Jun 8, 2020 Frankfurt Enroll
Aug 10, 2020 Munich Enroll
Oct 12, 2020 Hamburg Enroll
Dec 7, 2020 Stuttgart Enroll
Bulgaria
Sep 18, 2020 This is a FLEX event Sofia Course language: English Enroll
Online Training Time zone: Europe/Sofia Enroll
Lithuania
May 15, 2020 This is a FLEX event Vilnius Course language: English Enroll
Online Training Time zone: Europe/Vilnius Enroll
Slovenia
Nov 13, 2020 This is a FLEX event Ljubljana Course language: English Enroll
Online Training Time zone: Europe/Ljubljana Enroll
Switzerland
May 4, 2020 Basel Enroll
May 4, 2020 Bern Enroll
May 4, 2020 Zurich Enroll
Aug 10, 2020 Basel Enroll
Aug 10, 2020 Bern Enroll
Aug 10, 2020 Zurich Enroll
Nov 9, 2020 Basel Enroll
Nov 9, 2020 Bern Enroll
Nov 9, 2020 Zurich Enroll
Middle East
Qatar
May 10, 2020 Doha Course language: English Enroll
Saudi Arabia
Nov 15, 2020 Riyadh Course language: English Enroll
United Arab Emirates
May 10, 2020 Dubai Course language: English This course is being delivered by iTLS. Enroll
Nov 15, 2020 Dubai Course language: English This course is being delivered by iTLS. Enroll
Africa
Egypt
Apr 5, 2020 Cairo Course language: English Enroll
Oct 18, 2020 Cairo Course language: English Enroll