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Machine Learning Pipeline on AWS (ML-PIPE)

 

Who should attend

This course is intended for:

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

Certifications

This course is part of the following Certifications:

Prerequisites

We recommend that attendees of this course have:

  • 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

Course Objectives

In this course, you will learn to:

  • 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 Content

This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the 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.

Online Training

Duration 4 days

Price (excl. tax)
  • 3,190.— €
Digital courseware
Dates and Booking
Request a date
Classroom Training

Duration 4 days

Price (excl. tax)
  • Germany: 3,190.— €
  • Switzerland: CHF 3,500.—
incl. catering Digital courseware
Dates and Booking
Request a date

Schedule

This class will become guaranteed to run with one more student registration.
Instructor-led Online Training:   Course conducted online in a virtual classroom.
FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.
English
Time zone: Central European Summer Time (CEST)   ±1 hour
Online Training Time zone: Central European Summer Time (CEST)
Online Training This is a FLEX course.
Time zone: Greenwich Mean Time (GMT)
2 hours difference
Online Training 3 days Time zone: Gulf Standard Time (GST)
Online Training This is a FLEX course.
Time zone: Gulf Standard Time (GST)
Online Training This is a FLEX course.
Time zone: Gulf Standard Time (GST)
6 hours difference
Online Training Time zone: Eastern Daylight Time (EDT)
Online Training Time zone: Eastern Daylight Time (EDT)
Online Training Time zone: Eastern Daylight Time (EDT)
Online Training Time zone: Eastern Daylight Time (EDT)
Online Training Time zone: Eastern Daylight Time (EDT)
Online Training Time zone: Eastern Daylight Time (EDT)
Online Training Time zone: Eastern Daylight Time (EDT)
Online Training Time zone: Eastern Daylight Time (EDT)
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FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.
Date on request
Germany
Berlin
Munich

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

 
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