Course Schedule

Weekly Overview

The overview indicates which topics are covered in each lecture slot. I’ll aim to follow this schedule — minor deviations may occur.

CW Date Time Room Topic Contents
42 13.10.2025 10:15 – 11:45 D 425 Introduction & Agent Stack; Python & API Basics (intro) Motivation, course objectives, agent stack overview; Jupyter refresher, Python data types & control flow, JSON handling, API calls
43 20.10.2025 10:15 – 11:45 D 425 Python & API Basics (cont.) Jupyter refresher, Python data types & control flow, JSON handling, API calls
44 27.10.2025 10:15 – 11:45 D 425 LLM Fundamentals I Pretraining vs. fine-tuning vs. prompting; transformer architecture; attention explained
45 03.11.2025 10:15 – 11:45 D 425 LLM Fundamentals II Context window, limitations, hallucinations, bias; prompt patterns (zero-/few-shot, chain-of-thought)
46 10.11.2025 10:15 – 11:45 D 425 Tools & Function Calling Role of tools in the agent stack; function-calling schemas
47 17.11.2025 10:15 – 11:45 D 425 Memory & Embeddings I Embeddings principles; cosine similarity
48 24.11.2025 10:15 – 11:45 D 425 Memory & Embeddings II Vector DBs (FAISS vs. Chroma); persistence & updates
49 01.12.2025 10:15 – 11:45 D 425 RAG I RAG pipeline: ingest, chunk, embed, index, retrieve, generate
50 08.12.2025 10:15 – 11:45 D 425 RAG II Tuning chunking & top-k; hybrid search; re-ranking
— — — Christmas Break No lecture — Christmas break
— — — Christmas Break No lecture — Christmas break
02 05.01.2026 10:15 – 11:45 D 425 Interoperability & MCP Why standards are needed; Model Context Protocol (MCP) basics
03 12.01.2026 10:15 – 11:45 D 425 Observability & Monitoring Logging, costs, tracing (e.g., Langfuse)
04 19.01.2026 10:15 – 11:45 D 425 Evaluation Methods Metrics: faithfulness, relevance, groundedness; golden sets; LLM-as-a-judge
05 26.01.2026 10:15 – 11:45 D 425 Governance & Safety Data protection, PII filters, policy prompts; EU AI Act context
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