A 3‑ECTS hybrid course introducing prompt engineering and creative applications of open‑source generative AI. Students learn multimodal prompting (text, image, audio, video) and develop a final creative or educational mini‑project.
Prompt Engineering and Creative Applications with Open-Source and Commercial Generative AI
Training details
Location
UPC North Campus
Date
09/02/2026
Target Audiance
Student-Focused
Teaching language(s)
English / Catalan / Spanish
Organizing institution
Universitat Politècnica de Catalunya
Delivery mode
Hybrid
Level
Introductory
Format
Case Study Session, Hands-on session, Lecture, Panel Discussion, Self-paced Module
Capacity or seats limit
30
Topics / Keywords
Generative AI, prompt engineering, multimodal AI, LLMs, creativity, ethics, open‑source AI
What You Will Learn
Learning objectives (bulleted):
– Explain how generative models work.
– Create and refine text/image/audio prompts.
– Apply structured prompting frameworks.
– Build multimodal workflows.
– Evaluate outputs critically and ethically.
– Develop a reproducible mini‑project.
Learning outcomes:
Participants will be able to:
– Produce multimodal generative outputs.
– Document prompting processes reproducibly.
– Integrate generative AI into academic or creative contexts.
– Present a complete, ethically grounded project.
Agenda
Week 1 – Introduction to Generative AI
Week 2 – Foundations of Prompt Engineering
Week 3 – Multimodal Prompting
Week 4 – Final Mini‑Project & Reflection
Instructor name(s)
Juan Enciso Pizarro
Bruno Caldas Vianna
Instructor’s biography
Juan Enciso Pizarro is a physics and technology professor at UPC and an international trainer in AI for education. Specialized in generative AI, prompt engineering, and educational innovation, he designs AI literacy programs and open resources.
Bruno Caldas is a researcher and educator in AI and digital learning technologies, contributing expertise in multimodal AI workflows and responsible AI integration across disciplines.
Course Description
This course offers a practical introduction to open‑source generative AI and prompt engineering. Participants learn how generative models operate, how to design prompts effectively, and how to combine text, image, audio, and video tools to create multimodal workflows. The course emphasizes responsible use, creativity, and reproducible prompting strategies. Students progressively develop a final mini‑project integrating multiple generative AI modalities.
Prerequisites
<p>Basic digital skills; interest in AI or creative applications; no coding required.</p>
Certificate/badge details
<p>Certificate of Achievement</p>
Required readings or materials
<p>– Open‑access introduction to generative AI<br />
– Open prompt engineering guide (text‑to‑image)<br />
– HuggingFace documentation</p>
Technical setup
<p>Laptop with internet access; access to open‑source tools; optional Google Colab/HuggingFace.</p>