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Practical Data Science with Amazon SageMaker

  • Tuition USD $675
  • Reviews star_rate star_rate star_rate star_rate star_half 488 Ratings
  • Course Code AWS-PDSASM
  • Duration 1 day
  • Available Formats Classroom, Virtual

AWS Technical Skills Assessment
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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.

Skills Gained

  • 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 Can Benefit

  • Developers
  • Data Scientists

Prerequisites

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

Course Details

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

How do I enroll?

A comprehensive listing of ExitCertified courses can be found here. You can register directly for the required course/location when you select "register". If you have any questions or prefer to speak with an ExitCertified education consultant directly, please submit your query here. A representative will contact you shortly.

How do I pay for a class?

You can pay at the time of registration using credit card (Mastercard/Visa/American Express) cheque or PO.

What if I have training credits?

ExitCertified honors all savings programs from the partners we work with. ExitCertified also offers training credits across multiple partners through our FLEX Account.

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Lunchtime?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

Facilities were very clean, coffee was nice to have, snack selection was refreshing

Had great paid experiences, the free experience was not a waste of time, it provided the overview AWS that I needed to get started.

I ended up taking an iMVP class; I was originally skeptical, as other online classes have had issues, but ExitCertified puts a little more effort into this, including making sure you have a good headset and camera to keep the classes more interactive, and they also provide better back-office support to their trainers than other vendors. I do recommend the iMVP over the classroom.

Well-executed course. I had to wait for the last minute to register for the course because of my org – their staff contacted me to ensure that I had a webcam and headset because they wouldn't be able to send me that in time for the start of class the next morning. They overnighted the webcam and headset and it arrived in the afternoon. It was not necessary but very much appreciated! The course was great and the instructor was a pro!

Setup for the training was easy and participants were mostly provided with the necessary things for continued learning, however, a couple people in my class dealt with technical issues with their virtual machines in the virtual training.

5 options available

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  • GTR Aug 24, 2020 Aug 24, 2020 (1 day)
    Location
    iMVP
    Language
    English
    Time
    9:00AM 5:00PM PDT
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    Enroll
  • Sep 16, 2020 Sep 16, 2020 (1 day)
    Location
    iMVP
    Language
    English
    Time
    9:00AM 5:00PM EDT
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    Enroll
  • Oct 6, 2020 Oct 6, 2020 (1 day)
    Location
    iMVP
    Language
    English
    Time
    9:00AM 5:00PM PDT
    Enroll
    Enroll
  • Nov 3, 2020 Nov 3, 2020 (1 day)
    Location
    iMVP
    Language
    English
    Time
    9:00AM 5:00PM EST
    Enroll
    Enroll
  • Dec 1, 2020 Dec 1, 2020 (1 day)
    Location
    iMVP
    Language
    English
    Time
    9:00AM 5:00PM PST
    Enroll
    Enroll
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