Course Schedule

13 Sessions | September - December 2025

Course Progress

0 of 13 sessions completed Course starts Sep 12, 2025

The course follows a progressive structure from foundational statistical models to cutting-edge neural architectures. Each session builds on previous concepts through hands-on coding exercises and theoretical deep dives. Red-bordered sessions are mandatory presentations.

Course Structure: Weeks 1-5 cover foundations (N-grams to LSTMs), Weeks 6-9 explore transformers and advanced architectures, Weeks 10-13 focus on practical applications and optimization.

Timeline

12.09.25

Shakespeare und N-Grams

Unser eigenes Shakespeare Sonnet

Understand probabilistic language models and build a text generator using n-gram statistics

19.09.25

Word Embeddings

Einfuhrung in Word Embeddings

Learn how words can be represented as vectors and explore semantic relationships in embedding space

26.09.25

Neuronale Netze

Function Approximation

Master neural network fundamentals: forward propagation, backpropagation, and universal function approximation

03.10.25

RNNs

Recurrent Neural Networks

Discover how recurrent architectures process sequential data and handle variable-length inputs

17.10.25

LSTMs

Long Short-Term Memory

Understand the vanishing gradient problem and how LSTM gates enable long-term memory

24.10.25

Zwischenprasentation

10 min + 10 min Q&A

31.10.25

Sequence-to-Sequence

Predicting the next sentence

Build encoder-decoder models for translation and learn attention mechanisms

07.11.25

Transformers

The Transformer revolution

Master self-attention, multi-head attention, and the transformer architecture

14.11.25

Multi-Agent LLMs

Multi-Agent Systems

Explore how multiple language models can collaborate to solve complex tasks

21.11.25

Kurzprasentation Option 1

5 min + 5 min Q&A

28.11.25

Kurzprasentation Option 2

5 min + 5 min Q&A

05.12.25

Decoding Strategies

Text Generation Methods

Compare greedy, beam search, sampling, and nucleus sampling for text generation

12.12.25

Abschlussprasentation

15-20 min + 5-10 min Q&A