Learning artificial intelligence in a constantly changing environment
Artificial intelligence is advancing at an unprecedented pace, generating new tools, models, and applications every day. In this context, learning AI is not just about following trends, but about acquiring a solid foundation that enables adaptation, analysis, and informed decision-making in real business situations.
At La Salle-URL, we understand AI education as a deep learning process: we combine conceptual foundations, applied practical experience, and critical thinking, ensuring learning is relevant, sustainable, and directly applicable to business challenges beyond any specific tool.
Our approach to AI training
Training in artificial intelligence is not about memorising prompts or relying on a specific platform. It is about learning to think, work, and make decisions with the support of technology.
Our approach is based on three pillars:
- Mindset before tools: understanding what AI is, what it can contribute, and its limitation.
- From occasional use to strategic assistant: integrating AI as recurring support for analysis, creation, and decision-making.
- Judgment and ethics: applying AI responsibly, consciously, and aligned with real objectives.
A university ecosystem where AI is truly applied
Studying AI at La Salle Campus Barcelona means being part of an active ecosystem of research, innovation, and knowledge transfer.
Our experience is built on more than 30 years of research and environments such as:
- AI Observatory, focused on trend analysis and responsible adoption.
- IASlab, an immersive space for experimenting with advanced technologies.
- Technova, a leading accelerator in innovation and entrepreneurship.
Additionally, we are the first university in Catalonia accredited by ACEEU and active members of ACIA (Catalan Association of Artificial Intelligence).
University training in AI
We offer artificial intelligence education throughout the entire professional lifecycle, adapting to different levels, objectives, and life stages:
Advanced Search by Artificial Intelligence
Type of Courses
Postgraduate and Masters Degrees
Specialization Courses
Summer School - Pre-University
Select Modality
On-site
Blended
Select Language
What we understand by quality training in artificial intelligence
All our training offerings share the same foundation:
- Solid conceptual base: understanding the fundamentals of artificial intelligence to avoid uncritical or dependent use.
- Realistic practical application: use cases connected to real professional contexts, not artificial examples.
- Guidance and personalisation: teaching guidance that reduces saturation and increases knowledge transfer.
- Progression and coherence: training is not consumed: it is traversed, built, and adapted.
Intensive and international experiences in artificial intelligence
This educational ecosystem is complemented by intensive academic experiences, such as international stages, enabling practical immersion in artificial intelligence within a real university and professional environment.
These formats combine academic foundations, applied workshops, project-based work, and direct contact with the business ecosystem, and are designed for students seeking to explore or deepen their understanding of AI from an applied, critical, and international perspective.