Data Scientist Specialized in Deep Learning and Generative AI

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 and Generative AI".

• 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