Designing and Implementing a Data Science Solution on Azure

Course DP-100T01

  • Duration:
    • 4 days

Dates:

  • Implementation planned - places still available
  • 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.
28.07.2025 - 31.07.2025 Virtual Classroom
  • 2490 EUR / Person
 German
26.08.2025 - 29.08.2025 Virtual Classroom
  • 2490 EUR / Person
 German
13.10.2025 - 16.10.2025 Cologne
  • 2490 EUR / Person
 German
08.12.2025 - 11.12.2025 Virtual Classroom
  • 2490 EUR / Person
 German
20.01.2026 - 23.01.2026 Virtual Classroom
  • 2490 EUR / Person
 German
02.02.2026 - 05.02.2026 München (Garching)
  • 2490 EUR / Person
 German
07.04.2026 - 10.04.2026 Virtual Classroom
  • 2490 EUR / Person
 German
04.05.2026 - 07.05.2026 Cologne
  • 2490 EUR / Person
 German
14.07.2026 - 17.07.2026 Virtual Classroom
  • 2490 EUR / Person
 German
24.08.2026 - 27.08.2026 Leipzig
  • 2490 EUR / Person
 German
13.10.2026 - 16.10.2026 Virtual Classroom
  • 2490 EUR / Person
 German
09.11.2026 - 12.11.2026 Berlin
  • 2490 EUR / Person
 German
Learn how to operate machine learning solutions at cloud scale using Azure. In this course, you will learn to use your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and monitoring of machine learning solutions in Microsoft Azure.
  • Introduction to Azure Machine Learning
  • Working with Azure Machine Learning
  • Automated Machine Learning
  • Azure Machine Learning Designer
  • Introduction to experiments
  • Training and registering models
  • Working with datastores
  • Working with datasets
  • Working with datastores
  • Working with datasets
  • Introduction to pipelines
  • Publishing and running pipelines
  • Real-time reclosing
  • Batch Reclosure
  • Continuous Integration and Continuous Delivery
  • Hyperparameter Optimisation
  • Automated Machine Learning
  • Differential Privacy
  • Interpretability of models
  • Fairness
  • Monitoring models with Application Insights
  • Monitoring data drift
This course is aimed at data scientists with existing knowledge of Python and machine learning frameworks such as ScikitLearn, PyTorch and Tensorflow who want to build and run machine learning solutions in the cloud.
Successful Azure Data Scientists will already have a sound knowledge of cloud computing concepts and experience with general Data Science and Machine Learning tools and techniques when they start their role.
This is especially true in the following cases:
  • Creating cloud resources in Microsoft Azure
  • Using Python to explore and visualise data
  • Train and validate machine learning models using popular frameworks such as Scikit-Learn, PyTorch and TensorFlow
  • Working with containers
The course price includes:
- The original Microsoft training materials in English and digital form.
- Break catering for face-to-face training: drinks, biscuits, and lunch

We are also happy to conduct this training as an in-house seminar. Please request your individual offer.

The course is offered in German and English.

Please click here to go to our English course: DP-100T01_e - Designing and Implementing a Data Science Solution on Azure (English).

Contact us

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D-04329 Leipzig
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