Neural Networks Course: From Theory to Practice + 8 ECTS Credits

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Neural Networks Course: From Theory to Practice + 8 ECTS Credits

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Duration

200 hours

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Credits

8 ECTS

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Language

Spanish

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Neural Networks Course Qualification: From Theory to Practice with 200 hours and 8 ECTS issued by UTAMED-Atlantic Mediterranean Technological University.

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Neural Networks Course: From Theory to Practice + 8 ECTS Credits

Información adicional del UNIVERSITY COURSE

Neural Networks Course: From Theory to Practice + 8 ECTS Credits

6 months de tutorización

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Course information

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Course information

Description
The Neural Networks Course From Theory to Practice offers you the opportunity to immerse yourself in a field that is constantly expanding and has high job demand. Neural networks are the engine of modern artificial intelligence, transforming industries from healthcare to automotive. This course will guide you from mathematical and conceptual foundations, through advanced architectures such as convolutional networks for computer vision and recurrent networks for sequential modeling. You will learn to train and optimize models, using frameworks and practical tools that are standard in the industry. At the end of the course, you will be able to face current and future trends in neural networks.

Job opportunities

The main professional opportunities of this Neural Networks Course From Theory to Practice are in areas such as the development of artificial intelligence specialized in neural networks, computer vision engineering using CNN, specialist in natural language processing with RNN, data science focused on deep learning, among others.

What does it prepare you for?

By completing the Neural Networks Course From Theory to Practice you will be able to understand and apply the principles of neural networks and their evolution. You will acquire skills to design and optimize neural network models, including deep, convolutional, and recurrent networks. You will be able to implement solutions using current frameworks, address computer vision and sequential modeling problems, and explore future trends in AI.

Who is it addressed to?

The Neural Networks Course From Theory to Practice is designed for professionals and graduates from the technological and scientific sector who wish to update their knowledge in artificial intelligence. It covers everything from the introduction to neural networks and their mathematical foundations to the practical application of architectures such as CNN and RNN.

Objectives

- Understand the historical evolution and foundations of neural networks. - Analyze the key mathematical concepts in neural networks. - Identify the architectures of artificial neural networks. - Optimize neural network models using advanced techniques. - Explore and apply deep neural networks (Deep Learning). - Implement convolutional networks for computer vision. - Use recurrent networks for sequential data modeling.

Neural Networks Course: From Theory to Practice + 8 ECTS Credits

$308.00