Fundamentals of Deep Learning

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About the training

Machine learning comprises those methods used in AI for building knowledge on the basis of past experience. The algorithms used in the field analyze training data in order to identify patterns and laws. These are then put into use to evaluate new situations as part of a general diagnosis of data, in fields including voice, text and image recognition as well as autonomous systems (e.g. robots). Deep learning is a specialized method for machine learning whose purpose is to train complex artificial neural networks. In recent years, this method has made it possible for highly promising successes to be achieved in the field of AI.


You’ll become acquainted with fundamental methods of machine learning as well as their possible applications. You’ll understand the areas of application of neural networks, in particular those of deep learning, and have the ability to assess their possibilities as well as limitations. You’ll be able to assess the technologies we cover in the course and determine whether you can apply them profitably in your business and for key tasks.

Target group

Technical decision makers, innovation project managers, software architects


  • What is machine learning?
  • The difference between machine learning, artificial intelligence and data science
  • Difference to traditional software development
  • Components of machine learning (mathematical & statistical models, training data)
  • Requirements for data
  • Predictability requirements
  • Supervised
  • Unsupervised
  • Reinforcement
  • Decision tree
  • Neural Networks
  • Regression analysis
  • What is an artificial neural network?
  • What is deep learning?
  • Advantages of deep learning
  • Predictions
  • Probabilities for events
  • Process optimization
  • Adaptable systems
  • Recommendation systems
  • Image recognition
  • voice recognition
  • automation
  • Finance (e.g. fraud detection)
  • Marketing
  • Healthcare
  • Customer support
  • Google TensorFlow
  • IBM
  • Microsoft Azure
  • Amazon AWS
  • Open source platforms
  • ML programming languages

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Inhouse training

We offer you this course as an inhouse training for your company. Here you can learn more about our service packages. Tell us more about your needs, so that we can tailor an offer that perfectly fits your requirements.

Public trainings in German

We offer this course also on several dates as a webinar and face-to-face training in German. You can find all upcoming dates for our open trainings in German on our Website.

This course includes the following:

Printed Certificate of Participation
Digital and Printed Course Material
Delicious Lunch and Snacks
Hot and Cold Beverages