Designing and Implementing a Data Science Solution on Azure (DP-100T01)

 

Course Overview

Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.

Chi dovrebbe partecipare

This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.

Certificazioni

Questo corso è parte della seguente certificazione:

Prerequisiti

Before attending this course, students must have:

  • A fundamental knowledge of Microsoft Azure
  • Experience of writing Python code to work with data, using libraries such as Numpy, Pandas, and Matplotlib.
  • Understanding of data science; including how to prepare data, and train machine learning models using common machine learning libraries such as Scikit-Learn, PyTorch, or Tensorflow.

Contenuti del Corso

  • Introduction to Azure Machine Learning
  • No-Code Machine Learning with Designer
  • Running Experiments and Training Models
  • Working with Data
  • Compute Contexts
  • Orchestrating Operations with Pipelines
  • Deploying and Consuming Models
  • Training Optimal Models
  • Interpreting Models
  • Monitoring Models
Online Training

Durata 3 Giorni

Prezzo (IVA esclusa)
  • 1.290,– €
Formazione in Aula

Durata 3 Giorni

Prezzo (IVA esclusa)
  • Italia: 1.290,– €

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 Time (CET)
Online Training Fuso orario: Central European Time (CET)
Inglese
Fuso orario: Central European Summer Time (CEST)   ±1 Ora
Online Training Fuso orario: Eastern European Summer Time (EEST)
Online Training Questo è un corso FLEX.
Fuso orario: British Summer Time (BST)
Online Training Fuso orario: Eastern European Summer Time (EEST)
Online Training Questo è un corso FLEX.
Fuso orario: Greenwich Mean Time (GMT)
2 ore spostamento del fuso orario
Online Training Fuso orario: Gulf Standard Time (GST)
3 ore spostamento del fuso orario
Online Training Questo è un corso FLEX.
Fuso orario: Gulf Standard Time (GST)
6 ore spostamento del fuso orario
Online Training 5 Giorni Fuso orario: Central Daylight Time (CDT)
Online Training 5 Giorni Fuso orario: Central Daylight Time (CDT)
Online Training 5 Giorni Fuso orario: Central Daylight Time (CDT)
Online Training 5 Giorni Fuso orario: Central Daylight Time (CDT)
Online Training Fuso orario: Eastern Standard Time (EST)
7 ore spostamento del fuso orario
Online Training Fuso orario: Central Daylight Time (CDT)
Online Training Fuso orario: Central Daylight Time (CDT)
Online Training Fuso orario: Eastern Standard Time (EST)
Online Training Fuso orario: Central Daylight Time (CDT)
Online Training Fuso orario: Central Standard Time (CST)
Online Training Fuso orario: Central Standard Time (CST)
Online Training Fuso orario: Central Standard Time (CST) Erogazione garantita
Online Training Fuso orario: Central Standard Time (CST) Erogazione garantita
Online Training Fuso orario: Central Standard Time (CST) Erogazione garantita
8 ore spostamento del fuso orario
Online Training Fuso orario: Central Standard Time (CST)
9 ore spostamento del fuso orario
Online Training Fuso orario: Pacific Daylight Time (PDT) Erogazione garantita
Online Training Fuso orario: Pacific Daylight Time (PDT) Erogazione garantita
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
Sesto San Giovanni (MI)
Roma
Questo è un corso FLEX, erogato sia in aula che in remoto, contemporaneamente.