Fundamentals of AI

The students: * understand the basics of artificial intelligence * are able to identify areas of application for artificial intelligence * are able to create content (text, images, audio) using artificial intelligence * can assess the advantages and disadvantages of artificial intelligence in the development of smart products * know restrictions and limitations of artificial intelligence

* Basics of artificial intelligence - Overview of terms and definitions - Basic algorithms and models * Application areas of AI - Identification and evaluation of application areas in the context of the product development process of smart products - Limitations of AI * Applications of generative AI - Generation and modification of texts - Generation and modification of images and videos - Audio generation and modification - Prompting strategies (e.g. retrieval augmented prompting) * Implementation of AI - Use and interaction with AI - Local vs. Hosted AI Models - Quality assurance of AI models * Restrictions and limitations - Ethical considerations and implications when using AI models - Limitations of different models and strategies

Patrick D. Smith. (2018). Hands-on artificial intelligence for beginners : an introduction to AI concepts, algorithms, and their implementation (1st edition.). Géron, A. (2023). Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: concepts, tools, and techniques to build intelligent systems (Third edition). Park, K. R., Kim, E., & Lee, S. (2023). Image and Video Processing and Recognition Based on Artificial Intelligence. (Volume II).

Project work and presentation

English

5

20

2.5

Lecture, individual work with software, group work, presentation and discussion of tasks

1

Prof (FH) DI. Thomas Schmiedinger, PHD

DIT.4

integrated lecture

Compulsory