Competencies and objectives

 

Course context for academic year 2024-25


The course offers an immersion into the fascinating world of Generative Artificial Intelligence. Advanced techniques, such as prompt engineering, will be learned to generate texts and images effectively, opening up a range of creative possibilities. Additionally, innovative business models combining NLP and Generative AI will be explored, providing new opportunities across various industries. Legal aspects associated with the use of these technologies will also be analyzed, promoting a responsible and ethical approach.

 

 

Learning outcomes / Course competencies (verified by ANECA in official undergraduate and Master’s degrees) for academic year 2024-25

Skills/Skills

  • HD01 : Sabe aplicar los conocimientos adquiridos y tiene capacidad de resolución de problemas en entornos nuevos o poco conocidos dentro de contextos más amplios (o multidisciplinares) relacionados con su área de estudio.
  • HD06 : Identifica las necesidades de aprendizaje de cada problema PLN.
  • HD07 : Sabe valorar la problemática del idioma o dominio objetivo y la disponibilidad de recursos.
  • HD08 : Sabe cómo incorporar la inteligencia artificial generativa en las aplicaciones PLN.

 

Conocimientos/Contenidos

  • CON05 : Identifica los retos y oportunidades de la inteligencia artificial generativa en PLN.
  • CON16 : Conoce y comprende qué es un modelo del lenguaje.
  • CON17 : Conoce aplicaciones de los modelos del lenguaje.
  • CON19 : Conoce los modelos preentrenados disponibles.
  • CON24 : Conoce los últimos avances en inteligencia artificial generativa en PLN.

 

 

 

Learning outcomes (Training objectives)

No data

 

 

Specific objectives stated by the academic staff for academic year 2024-25

  • Innovate with AI: Explore how generative AI is transforming content creation.
  • Prompt generation: Learn how to design prompts that effectively guide AI generation.
  • Business models: Identify market opportunities using NLP and generative AI.

 

 

General

Code: 79589
Lecturer responsible:
Abreu Salas, José Ignacio
Credits ECTS: 3,00
Theoretical credits: 1,20
Practical credits: 0,00
Distance-base hours: 1,80

Departments involved

  • Dept: Software and Computing Systems
    Area: Languages and Computing Systems
    Theoretical credits: 1,2
    Practical credits: 0
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.

Study programmes where this course is taught