Expert Course in AI and Green Algorithms
Expert Course in AI and Green Algorithms
Presentation
The Expert Course in Artificial Intelligence and Green Algorithms aims to train professionals capable of leading the transition towards a more ethical and sustainable technology. In a context where AI plays an increasingly relevant role, this course is located at the intersection between innovation, sustainability and social responsibility. Through master classes, practical workshops and real projects, students will acquire cutting-edge knowledge in green AI, efficient computing and the development of technological solutions with positive impact. Among the course activities, the development of teams working on a service-learning project in collaboration with companies stands out.
The training will be given by an interdisciplinary teaching team that combines research staff from the University of A Coruña with specialists from leading companies in the technology sector and from other universities.
Minimum access requirements
- University education in areas related to ICT or engineering
Knowledge of programmingHave completed baccalaureate, BUP, FPII or Higher Vocational Training. - Knowledge of coding.
Objectives
The main objective of the course is to train students in the design, development and evaluation of sustainable artificial intelligence technologies, considering energy, social and environmental criteria. Specifically, it seeks to:
- Provide solid knowledge on the fundamentals, techniques and tools of Green AI.
- Train in the creation of AI algorithms and systems that optimize energy consumption and minimize carbon footprint.
- Develop competencies to apply green computing practices in real environments.
- Encourage innovation in sustainable AI projects, from design to evaluation.
- Promote ethical and critical reflection on the impact of AI technologies on society and the environment.
- Promote interdisciplinary teamwork skills and effective communication.
Key dates
| Start | End | |
|---|---|---|
| Pre-registration | May 15, 2025 | June 15, 2025 |
| Communication of admitted students | June 2025 | |
| Matriculation | July 1, 2025 | July 15, 2025 |
| Lecture sessions | September 9, 2025 | December 16, 2025 |
| Practical project defense | December 2025 | |
| Objective test | September – December 2025 |
Contents
- Fundamentals of Machine Learning and Computational Sustainability
Introduction to machine learning: definitions, types of learning, and main applications. Fundamentals of sustainability in computational infrastructure. Key technologies for computational efficiency: natural language processing, optimized data structures, federated learning, high-performance computing (HPC), and quantum computing. Optimization methods to reduce energy consumption and promote responsible use of computational resources.
- Ethical Design and Sustainable Applications of Artificial Intelligence
Development of sustainability-oriented AI solutions. Applications in sustainable robotics, energy efficiency, and smart building design. Ethical principles in the development of green AI technologies. International regulatory framework and best practices for responsible implementation. Analysis of practical cases and evaluation of business models committed to sustainable and socially responsible technological development.
- Green AI Projects and Applications
Design and development of service-learning projects applied to green AI. Project management methodologies and collaborative work tools. Evaluation of the feasibility and impact of the proposed solutions. Practical applications in key sectors: the circular economy, renewable energy, sustainable mobility, among others. Presentation and defense of final projects before teachers and professionals specializing in AI and sustainability.
Technical data
- Total hours of certified training
625 hours [25 ECTS] [1 ECTS = 25 hours]
- Face to face sessions
Ordinary sessions: Tuesdays and Thursdays, from 16:00 to 20:00 h
Tutorials practical projects: Fridays, from 16:00 to 20:00 h
Public defence of the service-learning project
Module exams
- Students' autonomous work
Development in work teams of a service-learning project in collaboration with companies.
Individual work on the preparation of readings and case studies prior to the ordinary sessions and practical workshops.
Individual work in preparation for the final exam.
- Title to which it gives access
University Expert in Artificial Intelligence and Green Algorithms
- Number of students
Minimum 12 – maximum 24
- Registration
400 €
- Admission
Admission to the Expert Course in Artificial Intelligence and Green Algorithms will be final once the Postgraduate Studies Unit has verified and reported favourably on the application and documentation submitted.Admission to the Expert Course in Artificial Intelligence and Green Algorithms will be final once the Postgraduate Studies Unit has verified and reported favourably on the application and documentation submitted.
- Location
CITIC, Universidade da Coruña
Campus de Elviña s/n – 15071 A Coruña
- Academic management
Verónica Bolón Canedo, director of the UDC-Inditex Chair of AI in Green Algorithms.
- Contact
catedra.inditex.algoritmos.verdes@udc.gal