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AWS-ML-PL

The Machine Learning Pipeline on AWS Training

This course explores how to the use of the iterative machine learning (ML) process pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the process pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Learners with little to no machine learning experience or knowledge will benefit from this course. Basic knowledge of Statistics will be helpful.
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Course Details

Duration

4 days

Prerequisites

  • Basic knowledge of Python programming language
  • Basic understanding of AWS Cloud infrastructure (Amazon S3 and Amazon CloudWatch)
  • Basic experience working in a Jupyter notebook environment

Target Audience

  • Developers
  • Solutions Architects
  • Data Engineers
  • Anyone with little to no experience with ML and wants to learn about the ML pipeline using Amazon SageMaker

Skills Gained

  • 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 using 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
Course Outline
  • Introduction
  • Introduction to Machine Learning and the ML Pipeline
  • Introduction to Amazon SageMaker
  • Problem Formulation
  • Preprocessing
  • Model Training
  • Model Evaluation
  • Feature Engineering and Model Tuning
  • Deployment
Upcoming Course Dates
USD $2,970
Online Virtual Class
Scheduled
Date: May 20 - 23, 2024
Time: 9 AM - 5 PM ET
Partner Registration

The course you are registering for is being delivered by our sister company - ExitCertified. All logistics related to course delivery will be managed by the ExitCertified team. If you have a dedicated Web Age representative, please feel to reach out to them with any questions/concerns you may have.

You'll now be redirected to https://www.exitcertified.com to complete the enrollment process.

USD $2,970
Online Virtual Class
Scheduled
Date: Jun 11 - 14, 2024
Time: 12 PM - 8 PM ET
Partner Registration

The course you are registering for is being delivered by our sister company - ExitCertified. All logistics related to course delivery will be managed by the ExitCertified team. If you have a dedicated Web Age representative, please feel to reach out to them with any questions/concerns you may have.

You'll now be redirected to https://www.exitcertified.com to complete the enrollment process.