Machine Learning Pipeline on AWS (ML-PIPE)

 

Chi dovrebbe partecipare

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

Certificazioni

Questo corso è parte della seguente certificazione:

Prerequisiti

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

Obiettivi del Corso

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

Contenuti del Corso

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

Durata 4 Giorni

Prezzo (IVA esclusa)
  • 1.990,– €
Formazione in Aula

Durata 4 Giorni

Prezzo (IVA esclusa)
  • Italia: 1.990,– €

Schedulazione

Italiano
Fuso orario: Central European Summer Time (CEST)   ±1 Ora
Online Training Fuso orario: Central European Summer Time (CEST)
Online Training Fuso orario: Central European Summer Time (CEST)
Online Training Fuso orario: Central European Time (CET)
Online Training Fuso orario: Central European Time (CET)
Inglese
Fuso orario: Central European Summer Time (CEST)   ±1 Ora
Online Training Fuso orario: Central European Summer Time (CEST)
Online Training Fuso orario: Central European Summer Time (CEST) Erogazione garantita
Online Training Questo è un corso FLEX.
Fuso orario: Greenwich Mean Time (GMT)
2 ore spostamento del fuso orario
Online Training Questo è un corso FLEX.
Fuso orario: Gulf Standard Time (GST)
Online Training Questo è un corso FLEX.
Fuso orario: Gulf Standard Time (GST)
6 ore spostamento del fuso orario
Online Training Fuso orario: Eastern Daylight Time (EDT) Erogazione garantita
Online Training Fuso orario: Eastern Daylight Time (EDT) Erogazione garantita
Online Training Fuso orario: Eastern Daylight Time (EDT)
Online Training Fuso orario: Eastern Daylight Time (EDT)
Online Training Fuso orario: Eastern Daylight Time (EDT)
Online Training Fuso orario: Eastern Daylight Time (EDT)
Online Training Fuso orario: Eastern Daylight Time (EDT)
Online Training Fuso orario: Eastern Daylight Time (EDT)
Guaranteed date:   Fast Lane garantirà il corso indipendentemente dal numero dei partecipanti
Instructor-led Online Training:   Questo è un corso Online
Questo è un corso FLEX, erogato sia in aula che in remoto, contemporaneamente.
Italia
Roma
Sesto San Giovanni (MI)
Questo è un corso FLEX, erogato sia in aula che in remoto, contemporaneamente.