Machine Learning Pipeline on AWS Training


The Machine Learning Pipeline on AWS Certification Training Course Overview

Overview

Enroll for 3-day The Machine Learning Pipeline on AWS training course from Koenig Solutions accredited by AWS. The Machine Learning Pipeline on AWS course developers will learn to solve real world business problems using it.

 

Through a blend of hands-on labs and interactive lectures, participants will learn best practices for problem solving using Amazon Sagemaker and be able to select and justify the appropriate ML approach for a given business problem.

 

Target Audience:

  • Candidates working as Developer.
  • Candidates working as Solutions Architect.
  • Candidates working as Data engineer.

 


Machine Learning Pipeline on AWS Training (Duration : 24 Hours) Download Course Contents

Live Virtual Classroom (Instructor-Led)

Fee : On Request
9 AM - 5 PM (Flexible Time Slots for 4 hours option)




April
8 Hours/Day
19-21
19-26
May
8 Hours/Day
03-05
09-11
10-12
17-19
03-10
09-15
10-17
17-24
June
8 Hours/Day
07-09
13-15
14-16
21-23
07-14
13-19
14-21
21-28
July
8 Hours/Day
05-07
11-13
12-14
05-12
11-17
12-19
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request

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Course Prerequisites

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

After completing this course, you will learn to:

  • Select and justify the appropriate ML approach for a given business problem.
  • Train, evaluate, deploy, and tune an ML model in Amazon SageMaker.
  • Describe some of the best practices for designing scalable, cost-optimised, and secure ML pipelines in AWS.