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.

fiyatlar & Delivery methods

Online training
Modality: L

Süre 4 Gün

Classroom training
Modality: C

Süre 4 Gün

Kurs tarihleri

Ingilizce
1 hour difference
Online training saat dilimi: Central European Summer Time (CEST) garanti rendavu
Online training This is a FLEX course. saat dilimi: Gulf Standard Time (GST)
Online training This is a FLEX course. saat dilimi: Central European Summer Time (CEST)
Online training This is a FLEX course. saat dilimi: Central European Summer Time (CEST)
2 hours difference
Online training This is a FLEX course. saat dilimi: Central European Time (CET)
Online training This is a FLEX course. saat dilimi: British Summer Time (BST)
Online training This is a FLEX course. saat dilimi: British Summer Time (BST)
3 hours difference
Online training This is a FLEX course. saat dilimi: Greenwich Mean Time (GMT)
Online training This is a FLEX course. saat dilimi: Greenwich Mean Time (GMT)
7 hours difference
Online training saat dilimi: Eastern Daylight Time (EDT)
Online training saat dilimi: Eastern Daylight Time (EDT)
Online training saat dilimi: Eastern Daylight Time (EDT)
Online training saat dilimi: Eastern Daylight Time (EDT)
8 hours difference
Online training saat dilimi: Eastern Standard Time (EST)
Online training saat dilimi: Eastern Standard Time (EST)
Online training saat dilimi: Eastern Standard Time (EST)
Guaranteed date:   Fast Lane bütün garanti Kurs tarihlerini katılımcı sayısı her ne olursa olsun gerçekleştirmektedir. Mücbir sebepler veya diğer öngörülemeyen olaylar, kaza yada hastalık gibi durumlarda bir dersin uygulanması imkansız.
Instructor-led Online Training:   Instructor-led Online Training WebEx aracılığıyla VoIP ortamında gerçekleştirilir. Herhangi bir online kurslar hakkında sorularınız varsa, bize bu numaradan +49 (0)40 25334610 ulaşabilir veya e-mail ile info@flane.de iletişime geçebilirsiniz.
This is a FLEX course, which is delivered both virtually and in the classroom.
Slovenya
Online training This is an Ingilizce language FLEX course.   saat dilimi: Europe/Ljubljana Kurs dili: Ingilizce Enroll
North Macedonia
Online training This is an Ingilizce language FLEX course.   saat dilimi: Europe/Skopje Kurs dili: Ingilizce Enroll
Çek Cumhuriyeti
Online training This is an Ingilizce language FLEX course.   saat dilimi: Europe/Prague Kurs dili: Ingilizce Enroll
This is a FLEX course, which is delivered both virtually and in the classroom.