Curriculum

Curriculum

 

MODULE 1: GENERAL

The first module deals with the basics of artificial intelligence. Basic terms as well as different approaches in the field of artificial intelligence are presented. An overview of generative AI is also given.

Learning objectives:

  • Understanding common terms from the field of artificial intelligence
  • Gaining familiarity with the development of applications in the field of artificial intelligence over time, incl. the most formative events
  • Understanding the difference between different machine learning concepts


MODULE 2: APPLICATION

In the second module, various applications of generative AI are presented and tested using examples. Furthermore, the module deals with prompt engineering for different applications and provides hands-on practice using examples.

Learning objectives:

  • Carrying out basic procedures of a prompt query
  • Generating prompts for different tasks (e.g., text, images, code, audio, video).


 MODULE 3: OUTLOOK

In the third module, the challenges and the basic procedure for implementing generative applications in the company are presented.

Learning objectives:

  • Understanding the limitations of generative AI applications
  • Gaining familiarity with the ethical concerns and effects of the use of generative AI on the labor market
  • Understanding fundamental aspects for the establishment of generative AI applications in a business context
  • Applying basic approaches to evaluating the benefits of generative AI applications

Kontakt

Foto Thomas Schmiedinger
Prof. (FH) Dipl.-Ing. Thomas Schmiedinger, PhD
Wissenschaftliche Leitung
+43 5372 71819 309
Thomas.Schmiedingerfh-kufstein.ac.at
Greiderer Georg
Georg Greiderer
Kontaktperson & Anmeldung
+43 5372 71819 201
Georg.Greidererfh-kufstein.ac.at