Upper University Course in artificial intelligence applied to business (university degree + 12 ECTS credits)






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Temario
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Summary
At present, artificial intelligence (AI) has become a field of vital importance for companies. The rise of Big Data and the need to extract valuable knowledge of large volumes of information have promoted the development and implementation of IA -based solutions. Business Intelligence (BI) and data visualization play a crucial role in business decision making, allowing the analysis and presentation of information clearly and effectively. This artificial intelligence course applied to businesses will form you to use advanced tools and techniques for data analysis and visualization, which will transform information into knowledge to improve the efficiency and competitiveness of organizations.
Goals
Professional exits
To prepare you
This artificial intelligence course applied to business prepares you to understand and apply key concepts in artificial intelligence, Big Data, Business Intelligence and visualization of data in the business context. You will acquire practical skills in the design and implementation of Big Data projects, data analysis and mining, the creation of effective visualizations and the use and creation of custom chatbots.
Who is it addressed
This artificial intelligence course applied to business is aimed at professionals and students interested in acquiring knowledge and skills in the field of artificial intelligence, Business Intelligence and data visualization and those who wish to explore the use of chatbots and the processing of natural language in business applications.
Official character
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.

Our methodology combines technology, pedagogy and empathy for a tailored learning.
You mark the rhythm, you decide the way and an artificial intelligence accompanies you to learn better, with meaning and purpose.

Realized personalized learning
Your style, interest and level define the route. You are the starting point.

Constructivism in action
Explore, experience and apply. Learning means understanding, not memorizing.

He who accompanies you, not who directs you
Phia, our artificial intelligence assistant guides you without limiting your autonomy.

Evaluation without pressure
Continuous and adaptive feedback. Because learning is a process, not a figure.
Certificación


University Superior Course degree in Artificial Intelligence applied to business with 300 hours and 12 ECTS credits from the Catholic University of Murcia

EDUCAHUB Scholarships
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In Eduahub we believe that education must be available to everyone. Therefore, we offer a scholarship plan that facilitates your access to practical, current and quality training, eliminating economic barriers.
-25%
Alumni Scholarship: For former students of Eduahub.
-20%
Unemployment scholarship: if you prove to be unemployed.
-20%
Numerous family scholarship: for families with 3 or more children.
-20%
Disability scholarship: For people with disabilities ≥33%.
-15%
Emprende Scholarship: For self -employed that accredit your activity.
-15%
Scholarship recommends: If you come recommended by an alumnus.
-15%
Group scholarship: For joint inscriptions of 3 or more people.

An entire educational universe, on a single platform.
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Learn at your pace
Courses, masters and official degrees. 100% online, flexible and at your pace.

Access from anywhere
Available 24/7 on mobile, tablet or PC. You decide when and how to train.

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