Master of Permanent Training in Artificial Intelligence. Management and implementation of models + 60 ECTS credits

This artificial intelligence master (AI) is designed to respond to the new knowledge and training needs that have emerged in this area before the boom lived in the last years of models, algorithms and companies that are dedicated to artificial intelligence. It is estimated that the AI sector will have a global business volume of about 16 trillions of dollars by 2030. Likewise, companies specialized in the search and selection of professional profiles points to AI as one of the knowledge that will be more demanded in the coming years.

The global objective of the master is that the student is to understand, apply, manage and lead initiatives and projects of AI in an organization. This global objective is achieved through the following partial objectives: 1. Really understand what AI, its limits and its possibilities are. 2. Belshing with programming languages, tools and platforms most commonly used in AI projects. 3. Know the most used algorithms in Machine Learning and Deep Learning. 4. Analyze other technologies that arise in the AI environment and that help develop innovative and differential business models. 5. Review the main methodologies to manage AI projects. 6. Understand the implications and applications of AI in different functional areas of the company.

Since AI is a transverse discipline that affects all the functional areas of the company, this master is aimed at any professional with concern for new technologies. It is especially focused on those who want to direct AI projects or lead this initiative at the organizational level. Additionally, this master is very suitable for any department manager who wants to update its contents and not be left behind in relation to this technology that will affect many sectors and areas of organizations.

The master's degree is designed so that it can be addressed by any professional profile, since it will begin from the foundations of AI and will not require great prior programming and statistical knowledge (although basic knowledge of these disciplines is required). It is structured in two large blocks: a technical block, where we will explore the main models and algorithms of Machine Learning and Deep Learning, and a block applied to business, where we will study the main implications and applications of AI in companies. Students, at the end of the master's degree, will have the necessary skills to carry out AI projects, manage them and promote this initiative within an organization.

This artificial intelligence master (AI) is designed to respond to the new knowledge and training needs that have emerged in this area before the boom lived in the last years of models, algorithms and companies that are dedicated to artificial intelligence. It is estimated that the AI sector will have a global business volume of about 16 trillions of dollars by 2030. Likewise, companies specialized in the search and selection of professional profiles points to AI as one of the knowledge that will be more demanded in the coming years.

This training is not included in the scope of official regulated training (Infant Education, Primary Education, Secondary Education, Official Professional Training FP, Baccalaureate, University Degree, Official University Master and PhD). It is therefore a complementary and/or specialization training, aimed at acquiring certain skills, skills or aptitudes of a professional nature, being able to be barely as merit in workbags and/or opposition competitions, always within the complementary training section and/or continuous training being always essential to review the specific requirements of the public labor stock of the public labor stock market.