The Machine Learning Pipeline on AWS

Cost $2,700

Course Code
AWS-ML-PL

Duration
4 days

Format
Live Virtual Class

Who Can Benefit

This course can benefit

  • Developers
  • Solutions architects
  • Data engineers
  • Anyone who wants to learn about the ML pipeline via Amazon SageMaker, even if you have little to no experience with machine learning

Course Details

Day 1

  • Module 0: Introduction
  • Module 1: Introduction to Machine Learning and the ML Pipeline
  • Module 2: Introduction to Amazon SageMaker
  • Module 3: Problem Formulation

Day 2

  • Module 3: Problem Formulation (continued)
  • Module 4: Preprocessing

Day 3

  • Module 5: Model Training
  • Module 6: Model Evaluation

Day 4

  • Module 7: Feature Engineering and Model Tuning
  • Module 8: Deployment

Skills Gained

Learn how to use the machine learning (ML) pipeline with Amazon SageMaker with hands-on exercises and four days of instruction. You will learn how to frame your business problems as ML problems and use Amazon SageMaker to train, evaluate, tune, and deploy ML models. Hands-on learning is a key component of this course, so you’ll choose a project to work on, and then apply the knowledge and skills you learn to your chosen project in each phase of the pipeline. You’ll have a choice of projects: fraud detection, recommendation engines, or flight delays.

 

  • Select and justify the appropriate ML approach for a given business problem
  • Use the ML pipeline to solve a specific business problem
  • Train, evaluate, deploy, and tune an ML model in Amazon SageMaker
  • Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS
  • Apply machine learning to a real-life business problem after the course is complete

Enroll for The Machine Learning Pipeline on AWS

The Machine Learning Pipeline on AWS

$2,700.00

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Additional information

Schedules

Apr 27 2021 – Apr 30 2021 (4 days) 9:00AM – 5:00PM US-Pacific, May 25 2021 – May 28 2021 (4 days) 9:00AM -5:00PM US-Eastern, Jun 22 2021 – Jun 25 2021 (4 days) 9:00AM – 5:00PM US-Eastern

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