Fraunhofer Personnel Certification Authority

Data Scientist Specialized in Deep Learning

Certification according to ISO 17024 | Non-accredited area

The certificate attests relevant innovative practical knowledge and proven competence to the graduates.

Target audience: analysts, software developers, and those interested in research who want to use machine learning techniques to automatically develop statistical models from data for use in intelligent systems.

Requirements: Basic knowledge of statistics and data analysis; basic knowledge of programming and working with databases is a plus.

Requirements for certification: Degree or equivalent qualification by individual evidence.

Degree: Certificate "Data Scientist Specialized in Deep Learning".

Examination Content

  • Deep Learning
  • TensorFlow
  • Basic modules of Deep Learning
  • Unsupervised learning with neural networks
  • Convolutional neural networks (ConvNets) for image recognition
  • Recurrent neural networks and time series analysis for processing sequences
  • Counteracting networks
  • Networks for storing learned content
  • Reinforcement learning with neural networks
  • Application to gaming and robot navigation
  • Recommendation systems for videos and music
  • Collaborative filtering for user group evaluation