Master in Deep Learning and Big Data + 60 ECTS Credits Master in Deep Learning and Big Data + 60 ECTS Credits

Online Training

Master in Deep Learning and Big Data + 60 ECTS Credits

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1500 hours

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60 ECTS

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Spanish

We are in a stage of technological change. Every day the amount of information we generate grows and more and more advances are seen in the automation of tasks and the creation of intelligent artificial models within companies, web pages, applications, etc. All of this makes the importance of knowing how to analyze these large volumes of data, known as Big Data, becoming transcendental for making any important decision within a company, social field or any other professional field. Knowing how to interpret all these large volumes of information and apply it in fields such as artificial intelligence, machine learning and deep learning becomes key to carrying out a technological update within any company. Thanks to the realization of this Master In Permanent Training in Deep Learning and Big Data you will be able to obtain the necessary knowledge for the analysis of massive data and its application in the field of artificial intelligence (AI) thanks to deep learning (Deep Learning). In addition, you will discover a world full of job opportunities and booming due to the increasing importance of natural language processing (NLP) and the development of chatbots.

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Details to take into account

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Multilingual support

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Digital certificate included

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Assistant Phia

Objectives

- Discover the importance of Big Data and its main applications. - Learn to use the main Big Data tools. - Understand the importance and relevance of artificial intelligence and its application to build intelligent systems thanks to machine learning and deep learning. - Develop a Deep Learning system. - Learn how to create a chatbot thanks to the use of natural language processing. - Understand the importance and know how to apply cybersecurity in all these areas.

Content

Career opportunities

Thanks to completing this master's degree, you will be able to apply for highly prestigious and highly paid positions such as Big Data Scientist, Head of artificial intelligence, AI Developer, Research Scientist on Deep Learning, Expert data analyst, data engineer or leader of big data projects.

What it prepares you for

The Master In Permanent Training in Deep Learning and Big Data, it will give you the necessary knowledge for the analysis of massive data or big data and its application in the field of artificial intelligence (AI) thanks to deep learning (Deep Learning). You will discover a world full of job opportunities and booming due to the increasing importance of natural language processing (NLP) and the development of chatbots.

Addressed to

The Master in Permanent Training in Deep Learning and Big Data, is mainly aimed at computer professionals who wish to take a quality leap in their careers thanks to the study and application of Big Data in areas such as artificial intelligence, Machine Learning and Deep Learning, which is increasingly important in all current and future technologies. In addition, it is also designed for those students who are looking for specialized training that helps them enter the labor market through its guaranteed internships.

Methodology

With our online learning methodology, the student begins his journey through a virtual campus designed exclusively to develop the training itinerary with the aim of improving his professional profile. The student must advance autonomously throughout the different teaching units as well as carry out the corresponding activities and self-assessments.
The load of hours of the training action includes the different activities that the student carries out throughout their itinerary. The hours of telelearning carried out on the Virtual Campus are complemented by the student's autonomous work, communication with the teacher, complementary activities and readings, and the research and creation work associated with the projects.
To obtain the degree, the student must pass all self-assessments and exams and view at least 75% of the contents of the platform. The Final Project is carried out after finishing the theoretical-practical content on Campus. Finally, it is necessary to notify the completion of the Master from the platform to begin the issuance of the degree.

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