Building Visually Machine Learning Models_Image
Building Visual Machine Learning Models

If you would like to gain hands-on experiences in Machine Learning but do not have the programming skills, this is exactly the right course for you! Learn to create your own Machine Learning models in an experimental environment and with the help of an easy-to-use graphical tool.

Start date
3 weeks à 5 hours


Do you want to get hands-on experience with Machine Learning, but don't know any programming language or don't want to become a programmer? Or do you want an overview of Machine Learning, but you prefer experimenting instead of passively watching videos? Then this ist the right course for you!

Which topics will be covered?

  • Build your own Machine Learning models with an easy to use graphical tool

  • Get a solid understanding what's going on under the hood of some of the frequently used models and how to evaluate their quality

  • Learn how Machine Learning projects work from start to finish and where you can contribute with your expertise

  • If you want to, transfer your newly gained knowledge into Python programming at the end of the course

What will I achieve?

By the end of the course, you‘ll be able to...

  • to discuss effectively with colleagues from Machine Learning departments.

  • to judge the quality of Machine Learning models.

  • to distinguish which steps a Machine Learning project has to follow, and where you can support.

Which prerequisites do I need to fulfill?

  • No particular prerequisites

  • Basic Math knowledge (basic statistical concepts) is helpful



Who is offering this course?

Prof. Dr. Thorsten Wingenroth
DHBW Stuttgart

The creators of the learning opportunities are responsible for their content.

What else do I need to know?

Learning format:
Online course