Ingeniería del software con IA (IA embebida)

04.May - 06. May, 2026 Cod. 433-26

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Description

Este curso introduce el uso de la inteligencia artificial para mejorar la productividad en el desarrollo de software. Está dirigido a ingenieros que trabajan en investigación e innovación tecnológica y aborda herramientas de IA generativa para programación, técnicas de privacidad y seguridad, y aplicaciones de IA en sistemas embebidos. Los participantes conocerán cómo entrenar, ajustar y utilizar modelos de IA para generar código y desarrollar aplicaciones inteligentes.

Objectives

Mejorar la productividad del desarrollo de software con nuevas herramientas.

Learning outcomes and type of achievement

Aprender a entrenar, ajustar y usar herramientas y modelos IA para el desarrollo de software desde generar fragmentos de código personalizados hasta crear aplicaciones inteligentes.

Access prerequisites and admission criteria

Edad requerida: entre 25 y 64 años (durante el periodo de la actividad).

Level of learning experience according to EQF European Qualifications Framework

Nivel 5

ESCO, European Skills, Competences, Qualifications and Occupations competency frameworks

http://data.europa.eu/esco/isced-f/06

06 - tecnologías de la información y la comunicación (tic)

http://data.europa.eu/esco/isced-f/07

07 Ingeniería, industria y construcción

http://data.europa.eu/esco/isced-f/09

09 Salud y bienestar

Evaluation tests

Other evaluations: Other evaluations

Other evaluation tests

Evaluación a través de ejercicios prácticos.

Activity directed to

Professionals
Ingenieros que trabajan en investigación e innovación tecnológica y Profesionales de la salud.

Organised by

In collaboration with

Directors

DAVID BOULLOSA FALCES

UPV/EHU

Speakers

DAVID BOULLOSA FALCES

UPV/EHU

Iker Lasa Ojanguren

Iker Lasa Ojanguren graduated in Physics from the University of the Basque Country (09/2013-03/2018). He obtained a master’s degree in “Mathematical Research, Statistical Modeling, and Programming” from the University of the Basque Country in 2019 (2018-2019), and a “Full-time MSc. degree in Data Analytics” from the University of Strathclyde in Glasgow, Scotland, in 2020 (2019-2020). During this time, he also joined Ormazabal’s data analysis team as a part-time data scientist, completing both master’s degrees with thesis projects in collaboration with the company. These projects focused on the identification of electric consumer connectivity, designing algorithms based on smart electric meter data while utilizing combinatorial optimization techniques. From September 2020 to November 2023, his dedication was full-time at the company. Since December 2023, he has been working in Tecnalia’s Digital Unit, specifically in Data & Computation group. His research area involves leveraging language models to enhance and automate software engineering processes.

Angel Longueira Romero

Ignacio Maestro Giron

Ignacio Maestro Girón Computer Science Engineer from the University of Deusto (2005). He is currently a researcher at Tecnalia Research & Innovation. He took part in the ‘Don’t Waste It’ interactive video game project for Walt Disney Imagineering in Orlando, Florida. Experience in developing advanced web platforms. He has worked on projects with a backend developed in Python using Django and a frontend developed using Angular. Experience in test-driven development.