Designing and Implementing a Data Science Solution on Azure

Course DP-100T01

  • Duration:
    • 4 days

Dates:

  • Implementation guarantee - still places 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.
  • Dates with this symbol are bookable both on-site and in the Virtual Classroom.
13.05.2024 - 16.05.2024 Berlin, Virtual Classroom
  • 2390 EUR / Person
 German
17.06.2024 - 20.06.2024 Virtual Classroom
  • 2390 EUR / Person
 German
29.07.2024 - 01.08.2024 Leipzig, Virtual Classroom
  • 2390 EUR / Person
 German
05.08.2024 - 08.08.2024 Virtual Classroom
  • 2390 EUR / Person
 German
09.09.2024 - 12.09.2024 Cologne, Virtual Classroom
  • 2390 EUR / Person
 German
21.10.2024 - 24.10.2024 Munich, Virtual Classroom
  • 2390 EUR / Person
 German
18.11.2024 - 21.11.2024 Berlin, Virtual Classroom
  • 2390 EUR / Person
 German
09.12.2024 - 12.12.2024 Virtual Classroom
  • 2390 EUR / Person
 German
20.01.2025 - 23.01.2025 Leipzig, Virtual Classroom
  • 2390 EUR / Person
 German
10.02.2025 - 13.02.2025 Virtual Classroom
  • 2390 EUR / Person
 German
10.03.2025 - 13.03.2025 Cologne, Virtual Classroom
  • 2390 EUR / Person
 German
31.03.2025 - 03.04.2025 Virtual Classroom
  • 2390 EUR / Person
 German
05.05.2025 - 08.05.2025 Munich, Virtual Classroom
  • 2390 EUR / Person
 German
02.06.2025 - 05.06.2025 Berlin, Virtual Classroom
  • 2390 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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