Wir beraten Sie gerne!
+49 40 253346-10     Kontakt

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

Dauer 4 Tage

Preis (exkl. MwSt.)
  • 3.190,– €
Digitale Kursunterlagen
Classroom Training

Dauer 4 Tage

Preis (exkl. MwSt.)
  • Deutschland: 3.190,– €
  • Schweiz: CHF 4.150,–
inkl. Verpflegung Digitale Kursunterlagen

Kurstermine

Instructor-led Online Training:   Kursdurchführung online im virtuellen Klassenraum.
FLEX Classroom Training (Hybrid-Kurs):   Kursteilnahme wahlweise vor Ort im Klassenraum oder online vom Arbeitsplatz oder von zu Hause aus.
Deutsch
Zeitzone: Mitteleuropäische Zeit (MEZ)   ±1 Stunde
Online Training Zeitzone: Mitteleuropäische Zeit (MEZ)
Online Training Zeitzone: Mitteleuropäische Sommerzeit (MESZ)
Online Training Zeitzone: Mitteleuropäische Sommerzeit (MESZ)
Online Training Zeitzone: Mitteleuropäische Zeit (MEZ)
Englisch
Zeitzone: Mitteleuropäische Zeit (MEZ)   ±1 Stunde
Online Training Zeitzone: Mitteleuropäische Zeit (MEZ)
Online Training Dies ist ein FLEX-Kurs.
Zeitzone: British Summer Time (BST)
Online Training Zeitzone: Mitteleuropäische Sommerzeit (MESZ)
Online Training Dies ist ein FLEX-Kurs.
Zeitzone: Greenwich Mean Time (GMT)
2 Stunden Differenz
Online Training Dies ist ein FLEX-Kurs.
Zeitzone: Gulf Standard Time (GST)
Online Training Dies ist ein FLEX-Kurs.
Zeitzone: Gulf Standard Time (GST)
Online Training Dies ist ein FLEX-Kurs.
Zeitzone: Gulf Standard Time (GST)
3 Stunden Differenz
Online Training Dies ist ein FLEX-Kurs.
Zeitzone: Gulf Standard Time (GST)
6 Stunden Differenz
Online Training Zeitzone: Eastern Standard Time (EST)
Online Training Zeitzone: Eastern Standard Time (EST)
Online Training Zeitzone: Eastern Daylight Time (EDT)
Online Training Zeitzone: Eastern Daylight Time (EDT)
Online Training Zeitzone: Eastern Daylight Time (EDT)
Online Training Zeitzone: Eastern Daylight Time (EDT)
FLEX Classroom Training (Hybrid-Kurs):   Kursteilnahme wahlweise vor Ort im Klassenraum oder online vom Arbeitsplatz oder von zu Hause aus.
Deutschland
Hamburg
Berlin
München

Fast Lane Flex™ Classroom Ist der für Sie passende Termin oder Ort nicht dabei? Wir bieten Ihnen noch weitere FLEX Trainingstermine an!