Master in AI, IoT and Big Data for Digital Transformation

Online Training

Master in AI, IoT and Big Data for Digital Transformation

Name: Master in AI, IoT and Big Data for Digital Transformation en República Dominicana
Brand: INESEM - INSTITUTO EUROPEO DE ESTUDIOS EMPRESARIALES
SKU: 261396-2404
Availability: InStock

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1500 hours

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Spanish

Companies are currently immersed in an unprecedented digitalization process. The implementation of cutting-edge technologies such as artificial intelligence, the internet of things, or big data in companies has ceased to be a utopia and has become part of what is seen as a short-term business future. with him Master in AI, IOT and Big Data for digital transformation, the necessary professional skills will be achieved to champion the rise of companies to what is known as industry 4.0. Therefore, in a work context where the demand for highly qualified professionals in the implementation of this technology tends to be greater, you will be able to anticipate a more than promising professional future with Euroinnova's online training.

Instituciones educativas

RD$ 142,900

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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

- Design and control the implementation of a digital transformation plan according to the new business models and the digital client. - Become familiar with the figure of the CTO, CIO, CDO and others that arise from new digital ecosystems. - Know the Python programming language, as well as data analysis tools such as MongoDB or Hadoop. - Capture company data interactively with Power BI and make better decisions. - Make use of artificial intelligence, machine learning or Deep learning to create neural networks and algorithms. - Direct companies towards industry 4.0 by implementing IoT technology, cyber-physical systems or cloud computing.

Content

Career opportunities

The new digital ecosystems have given rise to new professional profiles such as the CTO, CIO, CDO, Data Scientist, robot manager, NLP consultant, Big Data project manager, IoT solutions architect, among others. To access them, you need to successfully complete the master's degree in AI, IOT and Big Data for digital transformation that will qualify these professional profiles.

What it prepares you for

The evolution of companies towards industry 4.0 arises from the importance of data analysis for accurate decision making, the emergence of algorithms that make their activity more efficient, or the improvement in the user experience with more interactive experiences. The implementation of this technology will be possible with highly qualified professionals with the Master in AI, IOT and Big Data for the digital transformation of Euroinnova.

The Master in AI, IOT and Big Data for Digital Transformation is designed for different professional profiles as a consequence of the versatility of this technology. However, the main recipients will be those people who have completed their studies in computer engineering, telecommunications, business administration or economics.

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.