What is MLOps? - Challenges in machine learning systems

November 15, 2023, 3:45 p.m. (CET)

Lecture series AI for engineers

Time: November 15, 2023, 3:45 p.m. – 5:15 p.m.
Additional date: October 18, 2023, 3:45 p.m. – 5:15 p.m.
November 15, 2023, 3:45 p.m. – 5:15 p.m.
November 22, 2023, 3:45 p.m. – 5:15 p.m.
November 29, 2023, 3:45 p.m. – 5:15 p.m.
December 6, 2023, 3:45 p.m. – 5:15 p.m.
December 13, 2023, 3:45 p.m. – 5:15 p.m.
January 10, 2024, 3:45 p.m. – 5:15 p.m.
January 17, 2024, 3:45 p.m. – 5:15 p.m.
January 24, 2024, 3:45 p.m. – 5:15 p.m.
January 31, 2024, 3:45 p.m. – 5:15 p.m.
Lecturer: Henning Frechen
Meeting mode: hybrid
Venue: Universität Stuttgart
V27.01
Pfaffenwaldring 27
70569  Stuttgart
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The lecture series "AI for engineers" presents methods of AI to solve current problems in science and economy in an innovative way by using AI. The lecture series presents the different perspectives of ten lecturers on the field. 

On Wednesday, Nov. 15, 2023 at 3:45 p.m., Henning Frechen,Fraunhofer IIS, Nürnberg, will speak on the topic of "What is MLOps? - Challenges in machine learning systems".

The functional workings of machine learning operations (MLOps) are far more complex than the operation of traditional software systems (DevOps). Due to the close connections between code, model, and data, even small changes to one of the three building blocks can lead to non-deterministic system behavior. This lecture introduces the technical challenges of operating ML systems and corresponding MLOps solutions. 

A practical example will be used to illustrate what MLOps architecture can look like and what tools and technical skills the development team needs to implement this.

New lecture series "AI for engineers" in the framework of the project IKILeUS (HLRS / IHR). Valid as interdisciplinary key qualification FüSQ and in the thematic field module T9 Engineering Sciences but also for interested non-specialists.

Registration via CAMPUS 

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