Data Scientist Specialized in Generative AI and Large Language Model Agents

Certification according to ISO 17024 | Non-accredited area

The certificate attests to graduates' relevant innovative practical knowledge and proven expertise in current methods of large language models (LLM) and generative artificial intelligence (GenAI), in particular on the functioning of generative language models (e.g., ChatGPT) and models derived from them for image generation (e.g., DALL-E) as well as models for time series analysis and robot control.

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 Generative AI and Large Language Model Agents".

Examination Content

  • Introduction to Deep Learning
  • Introduction to TensorFlow
  • Basic model training techniques: optimization, regularization, verification, ensemble, etc.
  • Practical programming exercises on simple deep learning models
  • Unsupervised learning with self-attention and BERT
  • Image recognition with convolutional neural networks (CNN) and the Vision Transformer
  • Text generation with the Generative Pretrained Transformer (GPT)
  • Practical programming exercises for all model types
  • Time series analysis with recurrent neural networks and GPT
  • Reinforcement learning for optimal robot control and language model adaptation
  • Translation of text into another language
  • Practical programming exercises for all model types
  • Adaptation of dialogue models and reasoning
  • Generative models for generating images and other media
  • Fundamentals and testing of agents
  • Generative models (e.g., diffusion models) for generating images and other media
  • Fundamentals and practical testing of agents for automatically completing complex tasks

Registration and examination regulations

Registration

The examinations in the field of Data Science are conducted in attendance or as online proctored examination. All information about the online proctored examination can be found here

 

To register, please follow this link.

Examination dates

presence exam (P) | online proctored (O)