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Robotics for welding in manufacturing sector |
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The training is dedicated to learning digital tools and technologies and building skills to connect them into systems for increasing efficiency of manufacturing processes. | ||||||
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Robotics, mechatronics, hydraulics and pneumatics in manufacturing sector |
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The training is dedicated to learning digital tools and technologies and building skills to connect them into systems for increasing efficiency of manufacturing processes. | ||||||
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Sales automatization and digitalization |
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Training covers marketing, pricing, sales digitalization aspects and tools | ||||||
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Science and Engineering Prep: Pre-university Calculus and Physics |
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Close the readiness gap between high school and university. | ||||||
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Smart AgriFood Academy |
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Smart Agrifood Academy provides an overview on precision farming techniques, innovative technologies for agriculture (crop operations and forecast models, remote sensing, sampling methods), and on the optimization of the yield. The training course aims to train agricultural professionals in optimizing the work on the field by integrating specific skills and innovative technologies. | ||||||
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Smart City Academy |
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FIWARE Innova iHub acts as formation schools, certification centers and experimentation labs. Our center is a meeting point for entrepreneurs and tech experts, companies, universities and public institutions. We need to keep strengthening the connection between what the people need, what the market is asking for and what we are offering and, day by day, improving. | ||||||
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Smart Grids Integration and Modeling |
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Familiarize yourself with the modeling and integration of intelligent electrical power networks or 'smart grids'. Learn how they can transform the electricity landscape of the future. | ||||||
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Smart Logistic |
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The object of the training is to present the smart supply chain context, analyzing the role and importance of new technologies and provide an overview of application scenarios and new trends | ||||||
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Smart Maintenance |
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The offered road show trail | ||||||
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Strategies for Big Data Deployment for Managers |
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There are many companies that today asking about the viability of implementing a BigData strategy in the company. But there are also many uncertainties that confront them before they can make an informed decision in the face of such implementation. In some cases, it is about solving a problem of access speed or query information. In other cases, the objective is focused on gathering and enriching scattered information to create a | ||||||
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