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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

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
Modality: L

Duration 4 days

Price (excl. tax)
  • Eastern Europe: 2,500.- €
Classroom Training
Modality: C

Duration 4 days

Price (excl. tax)
  • Eastern Europe: 2,500.- €

Schedule

English
5 hours difference
27/10/2020 ― 30/10/2020 Online Training Time zone: EDT
6 hours difference
06/10/2020 ― 09/10/2020 Online Training Time zone: EDT guaranteed date!
16/11/2020 ― 19/11/2020 Online Training Time zone: EST
14/12/2020 ― 17/12/2020 Online Training Time zone: EST
Guaranteed date:   Fast Lane will carry out all guaranteed training regardless of the number of attendees, exempt from force majeure or other unexpected events, like e.g. accidents or illness of the trainer, which prevent the course from being conducted.
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
Slovenia

Currently no local training dates available.  For enquiries please write to info@fastlane.si.