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Winter School

Artificial Intelligence

Application form
  • Home
  • Artificial Intelligence

  • Learning

    Face-to-face

  • Language

    English

  • Start

    18 January 2027 - 29 January2027

  • Credits

    6 ECTS

Artificial Intelligence Programme

Student Profile

University students, teachers, researchers and professionals from any sector with an interest in the course topic. No prior knowledge is required.

Program objectives

1

Obtain a global vision of Artificial Intelligence as a widely used technology and discover the challenges and opportunities of its applications.

2

Understand the new way of obtaining, managing and analysing data to generate knowledge and incorporate it into the development of novel intelligent systems.

3

Reflect, analyse and open the mind to the change in society that we are experiencing to understand its impact on today's society and find new professions, challenges and opportunities.

4

Learn to program simple algorithms in Python, to illustrate the foundation of the implementation of intelligent systems using machine learning techniques.

5

Learn the fundamentals of Generative Artificial Intelligence and the different tools available and their applications in different areas of business.

6

Learn applications of intelligent systems such as Natural Language Processing and other cutting-edge technologies.

La imagen muestra un chip de computadora con la inscripción 'AI' iluminada, rodeado de circuitos electrónicos.

Methodology

The Artificial Intelligence course will employ a comprehensive methodology that combines lectures, discussions and practical programming sessions. Students will acquire fundamental knowledge through lectures given by experts, participate in discussions and critical analysis through debates, and put into practice what they have learned in programming workshops.

This approach allows them to develop a solid and balanced understanding of Artificial Intelligence concepts and their applications in real-world environments.

Program

  • Fundamentals of AI.
  • Fundamentals algorithms. Machine learning.
  • Data and big data technologies.
  • Hands-on Workshop I: AI applications.
  • AI Open data and open governance.
  • Generative AI and business. Improving productivity with GenIA.
  • Natural language processing. Robotics
  • Parallel programming and Cloud computing.
  • Hands-on Workshop II: Text generation tools.
  • Capstone Session: Case Studies and Future Challenges

Life at CUNEF Universidad

At CUNEF Universidad, you will find an environment that supports and encourages learning and professional development, with the sole purpose of enhancing your talent.

For 50 years, CUNEF has been guided by the specialization of its academic offerings, the excellence of its students, professors and researchers, and its international vocation. CUNEF University will face the next 50 years under the principles of academic rigor, to become a benchmark in teaching and research; commitment, to be a driving force for research and innovation; plurality, to integrate different points of view, promote transversality and collaboration in decision-making; and equity, to guarantee equal opportunities through a system of scholarships and grants that will enable it to train professionals capable of transferring these values to their environment.
Una vista de una calle en una ciudad con edificios elegantes y tráfico vehicular.
Vista panorámica de la ciudad de Madrid al atardecer.

Why Madrid?

Madrid is a dynamic city with a rich cultural heritage and a wide variety of attractions to discover:

  • Landscape of Light (Paseo del Prado and Buen Retiro).
  • Extensive cultural offer (museums, opera, theater, ballet).
  • Monuments and unique buildings (Royal Palace, Puerta de Alcalá).
  • Gastronomic venues.