Trainieren und Bereitstellen eines Machine Learning-Modells mit Azure Machine Learning

Course DP-3007T00

  • Duration:
    • 1 day

Dates:

  • Durchführung geplant – noch Plätze verfügbar
  • Implementation - probability high - still places available
  • There are no more seats available. For many courses, it may still be possible to participate online, via virtual classroom.
  • Course times: As a rule, our seminars are held from 10:00 am to 5:00 pm on day 1 and from 9:00 am to 4:00 pm on the following days. Changes are possible. The concrete seminar times you will find in the binding order confirmation.
21.02.2025 Virtual Classroom
  • 890 EUR / Person
German
24.03.2025 Virtual Classroom english
  • 890 EUR / Person
English
30.05.2025 Virtual Classroom
  • 890 EUR / Person
German
11.08.2025 Virtual Classroom english
  • 890 EUR / Person
English
15.08.2025 Virtual Classroom
  • 890 EUR / Person
German
10.10.2025 Virtual Classroom
  • 890 EUR / Person
German
01.12.2025 Virtual Classroom english
  • 890 EUR / Person
English
05.12.2025 Virtual Classroom
  • 890 EUR / Person
German

To train a machine learning model with Azure Machine Learning, you need to make data available and configure the appropriate compute. Once you have trained your model and tracking model metrics with MLflow, you can deploy your model to an online endpoint for real-time predictions. In this learning path, you will learn how to set up your Azure Machine Learning workspace, after which you will train and deploy a machine learning model.

  • Making data available in Azure Machine Learning
  • Working with compute targets in Azure Machine Learning
  • Using environments in Azure Machine Learning
  • Run a training script as a command job in Azure Machine Learning
  • Tracking model training with MLflow in jobs
  • Registering an MLflow model in Azure Machine Learning
  • Deploy a model to a managed online endpoint

none

The course price includes

  • The original Microsoft training documents in English and digital form

We are also happy to organise this training as an in-house seminar. Ask for your individual offer.

The course is offered in German and English.

Contact us

SoftwareONE

IT CAMPUS
Customer Training Solutions

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D-04329 Leipzig
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