The Practical Data Science with Amazon SageMaker Course teaches participants to build, train, and deploy machine learning models on AWS. It covers data preparation, model training with XGBoost, and automatic hyperparameter tuning with SageMaker. Participants will also learn about AWS Auto Scaling and deploying models for production readiness. This Amazon SageMaker training is ideal for those looking to master ML workflows and architecture on AWS.

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.

Upcoming Schedules

Who Should Attend?

  • Data Scientist
  • Software Developer
  • Full Stack Developer

Course Prerequisites

Required

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

Course Outline

Introduction to machine learning
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  • Types of ML
  • Job Roles in ML
  • Steps in the ML pipeline

Frequently Asked Questions

Will I have access to AWS study material?

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The NetCom365 portal provides you access to the official digital courseware, labs, and other study materials.

Is NetCom Learning an accredited training partner to provide Practical Data Science with Amazon SageMaker course?

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Yes. NetCom Learning is an AWS APN Training Partner with Authorized Instructors to deliver the course.

Who should take the Practical Data Science with Amazon SageMaker course?

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Professionals in the development or data science or role can take the Practical Data Science with Amazon SageMaker course. The professionals must have knowledge of Python programming language and a basic understanding of machine learning concepts.

Where will I get more information on the Practical Data Science with Amazon SageMaker course?

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For more information on customized training or specific dates of any AWS course or certification, you can call us at 1-888-563-8266 (24x7), email us at info@netcomlearning.com, or connect with us over live chat.

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