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

Educational Institution
Modality Online
Duration 200 horas
Credits 8 ECTS
Languages Spanish
260
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Reconocidos por
Acreditados porRating Educahub

Syllabus

Curriculum

Summary

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.

Objectives

- Comprender la evolución histórica y fundamentos de las redes neuronales. - Analizar los conceptos matemáticos clave en redes neuronales. - Identificar las arquitecturas de redes neuronales artificiales. - Optimizar modelos de redes neuronales mediante técnicas avanzadas. - Explorar y aplicar redes neuronales profundas (Deep Learning). - Implementar redes convolucionales para visión por computador. - Utilizar redes recurrentes para modelado secuencial de datos.

Professional opportunities

Las principales salidas profesionales de este Curso de Redes Neuronales De la Teoría a la Práctica son en áreas como el desarrollo de inteligencia artificial especializado en redes neuronales, ingeniería de visión por computador utilizando CNN, especialista en procesamiento de lenguaje natural con RNN, ciencia de datos enfocada en deep learning, entre otras.

To prepare you

Al completar el Curso de Redes Neuronales De la Teoría a la Práctica podrás comprender y aplicar los principios de las redes neuronales y su evolución. Adquirirás habilidades para diseñar y optimizar modelos de redes neuronales, incluyendo redes profundas, convolucionales y recurrentes. Serás capaz de implementar soluciones usando frameworks actuales, abordar problemas de visión por computador y modelado secuencial, y explorar tendencias futuras en la IA.

Who is it addressed to?

El Curso de Redes Neuronales De la Teoría a la Práctica está diseñado para profesionales y titulados del sector tecnológico y científico que deseen actualizar sus conocimientos en inteligencia artificial. Abarca desde la introducción a las redes neuronales y sus fundamentos matemáticos, hasta la aplicación práctica de arquitecturas como CNN y RNN.

Methodology

Our methodology combines technology, pedagogy and empathy for learning tailored to you.

You set the pace, decide the path and artificial intelligence accompanies you so that you learn better, with meaning and purpose.

Truly personalized learning

Your style, interests and level define the route. You are the starting point.

Constructivism in action

Explore, experiment and apply. Learning means understanding, not memorizing.

AI that accompanies you, not directs you

PHIA, our artificial intelligence assistant guides you without limiting your autonomy.

Evaluation without pressure

Continuous and adaptive feedback. Because learning is a process, not a number.

Certification

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Titulación de Curso en Redes Neuronales: De la Teoría a la Práctica con 200 horas y 8 ECTS expedida por UTAMED - Universidad Tecnológica Atlántico Mediterráneo.

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Scholarships

EducaHub Scholarships

Make your training more accessible: finance at 0% interest and obtain personalized scholarships.

At EducaHub we believe that education should be available to everyone. For this reason, we offer a Scholarship Plan that facilitates your access to practical, current and quality training, eliminating economic barriers.

-25%

Alumni Scholarship: for former students of EducaHub.

-20%

Unemployment Scholarship: if you prove that you are unemployed.

-20%

Large Family Scholarship: for families with 3 or more children.

-20%

Disability Scholarship: for people with disabilities ≥33%.

-15%

Emprende Scholarship: for self-employed workers who can prove their activity.

-15%

Recommended Scholarship: if you come recommended by a former student.

-15%

Group Scholarship: for joint registrations of 3 or more people.

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