German UDS

Advanced Deep Learning

Neural architectures from CNNs to Transformers/LLMs/agents; efficient deep learning and edge deployment.

Overview

Foundations and evolution of deep learning; model compression, acceleration, edge AI, and agent systems.

Learning objectives

  • Understand ANN fundamentals and deep learning architecture evolution
  • Explain efficient DL techniques (pruning, quantization, distillation)
  • Understand edge AI, label-efficient and unsupervised methods
  • Describe foundations of LLMs and emerging AI agent systems

Admission

Micro-Degree programs from the German University of Digital Science. Designed for lifelong learning / professional development. ECTS earned may be recognised toward full degree programs (per university rules). English-taught interactive online format.