AI Engineering

Winter Semester Lectures and Practicals

AI Engineering

Contents

The lecture provides a comprehensive and practical introduction to the development of AI systems using pre-trained large language models (LLMs). It covers the following topics:

Foundation Models
Building Applications with Foundation Models
Legal and Ethical Aspects
Finetuning
Agents
Retrieval-Augmented Generation
Prompt Engineering

Course (ET-NT-00053) with 5 credit points.

Lecturer: Dr.-Ing. Johannes Abel
Assistant: Patrick Blumenberg

Prerequisites: Successful completion of Pattern Recognition or a comparable module.

Lecture
Contact hours (SWS): 2h
Start: 20.10.2025
Time: Monday, 8:00 - 9:30
Location: SN 22.2
Language: English
StudIP Link

Examination type: Presence exam
Date: 09.02.2026
Time: 3:00 p.m. - 5:00 p.m.

Entry admission starts at 2:30 p.m.

Location : PK 11.4

Consultation hour (questions about exam): by agreement with Patrick Blumenberg

Students are requested to register (and, if desired, deregister) at their respective department (facoulty) before the respective deadline. All participants must have a student ID an additionally a different valid ID with a photo.

Information about exam:

Further information will be announced on StudIP as soon as possible.

The exam results are available here.