Objectives

Explore the history of AI to understand its evolution and contextualize its importance in the present.

Analyze the synergy between AI and Big Data, highlighting the combination of these technologies.

Develop practical skills in building expert systems.

Evaluate the future implications of AI in industry, as well as its economic and social impact.

Understand the world of machine learning, classifying algorithms and understanding differences with Deep learning.

Work with key Business Intelligence products, understanding their essential role in strategic decisions.

Content

Methodology

Entre el material entregado en este curso se adjunta un documento llamado Guía del Alumno dónde aparece un horario de tutorías telefónicas y una dirección de e-mail dónde podrá enviar sus consultas, dudas y ejercicios. La metodología a seguir es ir avanzando a lo largo del itinerario de aprendizaje online, que cuenta con una serie de temas y ejercicios. Para su evaluación, el alumno/a deberá completar todos los ejercicios propuestos en el curso. La titulación será remitida al alumno/a por correo una vez se haya comprobado que ha completado el itinerario de aprendizaje satisfactoriamente.

What does it prepare you for?

This Diploma in Artificial Intelligence and Knowledge Engineering provides students with the skills and knowledge necessary to excel in a technology-driven business world. Upon completion of the diploma, students will be prepared to address critical challenges and take advantage of emerging opportunities in the practical application of AI in most disciplines.

Who is it aimed at?

This Diploma in Artificial Intelligence and Knowledge Engineering is aimed at professionals and students interested in acquiring advanced skills in Artificial Intelligence, Business Intelligence and Data Management. It is also suitable for those who are looking to deepen their knowledge in the use of tools such as Power BI for data analysis.

Career opportunities

With this Diploma in Artificial Intelligence and Knowledge Engineering, students will be prepared for key roles in industry, such as the development of expert systems, Big Data analysis, business intelligence and machine learning. Career opportunities extend to a wide range of sectors.