Doctorate in Computer Systems. RVOE Federal SEP: 20101352 (12/21/2010). Specialization in Robotics with its own degree from Euroinnova

Online Training

Doctorate in Computer Systems. RVOE Federal SEP: 20101352 (12/21/2010). Specialization in Robotics with its own degree from Euroinnova

Name: Doctorate in Computer Systems. RVOE Federal SEP: 20101352 (12/21/2010). Specialization in Robotics with its own degree from Euroinnova en Italia
Brand: EUROINNOVA INTERNATIONAL ONLINE EDUCATION
SKU: 380114-2501
Availability: InStock

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36 months

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175 CR

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Spanish

The Doctorate in Computer Systems, with a specialization in Robotics, positions you at the forefront of a booming sector. Robotics and artificial intelligence are transforming industries globally, creating an unprecedented demand for trained experts to lead this technological revolution. Through subjects such as Fundamentals of Artificial Intelligence and Distributed Information Systems, you will acquire advanced skills in programming, data analysis and security, essential to innovate in the design and development of industrial and specific robots. This online course offers you the flexibility to learn from anywhere, allowing you to combine studies with other responsibilities. Our training is supported by cutting-edge research and international collaboration, which prepares you to face the challenges of the future of robotics. Join and be part of the change that is redefining the world.

Instituciones educativas

9.900€

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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

- Understand the fundamentals of computing to apply them in robotics. - Develop skills in advanced programming environments. - Design efficient software architectures for robotic systems. - Apply fundamentals of artificial intelligence in robotic development. - Implement data mining techniques in computer systems. - Evaluate distributed information systems in robotic projects. - Analyze high-speed networks to optimize robotic communications.

Content

Career opportunities

- Industrial robotics engineer - Consultant in artificial intelligence applied to robotic systems - Researcher in distributed systems and their application in robotics - Specialist in advanced security for robotic environments - Software developer for robots with specific functions - Data analyst focused on the optimization of industrial robots

What it prepares you for

This course trains you to face complex challenges in the field of computer systems and robotics. You will develop advanced skills in programming, artificial intelligence and data mining, allowing you to design innovative solutions. You will learn to implement and manage secure and efficient software architectures, and to analyze and interpret data for decision making. It will prepare you to lead projects, research new technologies and apply your knowledge in industrial robotics and for specific functions.

The Doctorate in Computer Systems, with a specialization in Robotics, is aimed at professionals and graduates from the technology and engineering sectors who seek to update and expand their knowledge in key areas such as artificial intelligence, high-speed networks, and advanced security, as well as learn about the latest trends in robotics and their application in industrial environments.

Our training is 100% online, which allows students to self-regulate their study and adapt it to their own needs. We are committed to personalized and autonomous teaching, with an approach based on critical thinking and constructivism.

We have a highly specialized teaching team that will accompany you throughout the entire teaching-learning process. This will allow you to personalize your training even more, since we adapt to your pace and needs.

You will have access to our learning platform, MyLXP, from any device and at any time of the day, allowing you to decide how and when to study. All of this is possible thanks to our Educa LXP (Learning Experience Platform) methodology, an environment designed to boost your educational progress, encourage innovation and offer a personalized learning experience adapted to each need.