Advanced Deep Learning Course

Online COURSE 100% On-line

Advanced Deep Learning Course

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$433.00
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Enroll in this course and get all the advantages of MyLXP technology

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Duration

200 horas

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Credits

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Language

Spanish

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Phia Integrated

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Agenda

Credit your success

At the end of the course, you will obtain the accredited qualification

This is not just about learning, but also about accrediting your knowledge with the most important institutions in the sector:

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Título de Curso de Deep Learning Avanzado con 200 horas expedido por Structuralia

+25 years

Reference in the sector. Recognition guarantee.

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In-person training with global impact

An international postgraduate degree taught in Madrid is available at the end of 2026

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More than 200K students from all over the world maintain contact with Structuralia. Join it

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Meet Phia, the AI that will boost your training in this course

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The training you deserve

We have scholarships and facilities to finance your training. Request information and we will evaluate your case.

Scholarships of up to 50%

Scholarships available

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specialized courses in Structuralia

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Cloister

Learn from the best in your sector

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josé antonio rubio blanco

Doctor of Computer Engineering, Master in ICT Management and Director of Security from the Ministry of the Interior. It has international certifications ISO 27001, ISO 22301, CISM, CISA and CRISC. His career focuses on cybersecurity, risk management, business continuity, regulatory compliance and IT governance, combining technical activity, participation in standardization committees and teaching in higher education. He has held positions of responsibility in national and international standardization committees in cybersecurity and data protection, as well as in advisory councils and strategic bodies linked to digital trust and artificial intelligence. Combine this activity with specialized dissemination and participation in the media. Teaching experience: Associate Professor - Complutense University of Madrid. Advisor and teacher at various business schools. Professional experience: National Coordinator — ISO/IEC JTC 1/SC 27/WG 4 and WG 5 of AENOR. Secretary — UNE/CTN 320/SC 4 on Security Services and Controls. Member — CEN/CLC/JTC 13 Cybersecurity and Data Protection. Member of Technical Standardization Committees in: Risk Management; Continuity of Infrastructure and Critical Services; Compliance Management Systems; Anti-Corruption Management Systems; Management and Governance of IT Services; Services and Platforms for Distributed Applications; Cybersecurity in the vehicle field; Member of the Advisory Board — ISACA Madrid; Member of the Editorial Board - Privacy and Digital Law of RDU; Member of Commissions - Spanish Association of Telecommunications and Information Society Users; Co-presenter — En la Ciberguarida Program, Cadena SER Comunidad de Madrid; President — Spanish Association of Trust and Digital Compliance; Contributing Editor — CSO Spain Magazine; Member of the Committee of Experts - National Cybersecurity Strategy of Spain; Member of the Committee of Experts - Sandboxing project of the European Artificial Intelligence Regulation in Spain; Member of the Working Group on data stewardship — Higher Statistics Council; Member of the Certification Committee — DEKRA; Member of the Spanish Chapter of the Club of Rome; Member — National Digital Trust Forum. Publications: Member of the Editorial Board of the magazine Privacy and Digital Law; Contributing Editor of CSO Spain magazine. Professional skills: Cybersecurity and data protection; Risk management and business continuity; ISO 27001 and ISO 22301 management systems; Governance and management of IT services; Regulatory compliance and digital compliance; National and international technical standardization; Cybersecurity strategy and technological regulation. Merits: Award in technological innovation — Sun Microsystems; Award in the field of essay - Everis Foundation; Recognized as one of the 25 most influential cybersecurity professionals in Spain — IDG.

Doctor of Computer Engineering, Master in ICT Management and Director of Security from the Ministry of the Interior. It has international certifications ISO 27001, ISO 22301, CISM, CISA and CRISC. His career focuses on cybersecurity, risk management, business continuity, regulatory compliance and IT governance, combining technical activity, participation in standardization committees and teaching in higher education. He has held positions of responsibility in national and international standardization committees in cybersecurity and data protection, as well as in advisory councils and strategic bodies linked to digital trust and artificial intelligence. Combine this activity with specialized dissemination and participation in the media. Teaching experience: Associate Professor - Complutense University of Madrid. Advisor and teacher at various business schools. Professional experience: National Coordinator — ISO/IEC JTC 1/SC 27/WG 4 and WG 5 of AENOR. Secretary — UNE/CTN 320/SC 4 on Security Services and Controls. Member — CEN/CLC/JTC 13 Cybersecurity and Data Protection. Member of Technical Standardization Committees in: Risk Management; Continuity of Infrastructure and Critical Services; Compliance Management Systems; Anti-Corruption Management Systems; Management and Governance of IT Services; Services and Platforms for Distributed Applications; Cybersecurity in the vehicle field; Member of the Advisory Board — ISACA Madrid; Member of the Editorial Board - Privacy and Digital Law of RDU; Member of Commissions - Spanish Association of Telecommunications and Information Society Users; Co-presenter — En la Ciberguarida Program, Cadena SER Comunidad de Madrid; President — Spanish Association of Trust and Digital Compliance; Contributing Editor — CSO Spain Magazine; Member of the Committee of Experts - National Cybersecurity Strategy of Spain; Member of the Committee of Experts - Sandboxing project of the European Artificial Intelligence Regulation in Spain; Member of the Working Group on data stewardship — Higher Statistics Council; Member of the Certification Committee — DEKRA; Member of the Spanish Chapter of the Club of Rome; Member — National Digital Trust Forum. Publications: Member of the Editorial Board of the magazine Privacy and Digital Law; Contributing Editor of CSO Spain magazine. Professional skills: Cybersecurity and data protection; Risk management and business continuity; ISO 27001 and ISO 22301 management systems; Governance and management of IT services; Regulatory compliance and digital compliance; National and international technical standardization; Cybersecurity strategy and technological regulation. Merits: Award in technological innovation — Sun Microsystems; Award in the field of essay - Everis Foundation; Recognized as one of the 25 most influential cybersecurity professionals in Spain — IDG.
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carlos alvarez gonzález

Technical Engineer in Computer Science and teacher in ICT skills, with extensive experience in technical support, implementation of ERP systems and technological training. Professional experience: More than 15 years of experience in the technological field as a consultant, analyst-programmer and ICT trainer. Specialized in implementation and support of ERP systems (SAGE), training in digital skills and maintenance of computer systems. Recent experience as a teacher in ICT skills in training projects of the Junta de Andalucía, accumulating more than 600 hours of face-to-face training. Professional skills: ERP systems and technical support (SAGE), Training in ICT skills, Computer programming, analysis and maintenance, Quality management (UNE-EN-ISO 9001).

Technical Engineer in Computer Science and teacher in ICT skills, with extensive experience in technical support, implementation of ERP systems and technological training. Professional experience: More than 15 years of experience in the technological field as a consultant, analyst-programmer and ICT trainer. Specialized in implementation and support of ERP systems (SAGE), training in digital skills and maintenance of computer systems. Recent experience as a teacher in ICT skills in training projects of the Junta de Andalucía, accumulating more than 600 hours of face-to-face training. Professional skills: ERP systems and technical support (SAGE), Training in ICT skills, Computer programming, analysis and maintenance, Quality management (UNE-EN-ISO 9001).

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Advanced Deep Learning Course

Información adicional del Online COURSE

Advanced Deep Learning Course

6 meses de tutorización

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Course information

Description
The Advanced Deep Learning Course is the specialization for professionals and graduates in the technology sector who seek to update and master advanced techniques in the field of AI. This program offers you a deep dive into the field of Advanced Deep Learning, consolidating your skills in the design and implementation of neural networks and the creation of recommendation systems. You will master essential tools such as Python, Keras and TensorFlow, key to innovating and addressing complex challenges in various sectors. Throughout the training, you will explore from the fundamentals of machine learning and data structure extraction through clustering, to classification and the development of election systems. You will delve into deep learning, working with single-layer and multi-layer networks. This practical approach will allow you to directly apply the knowledge acquired, preparing you to lead new generation projects. The flexibility of learning remotely will allow you to consolidate your profile as a specialist in this high-demand field.

Job opportunities

La especialización en Deep Learning te posiciona como un referente técnico en el sector de la inteligencia artificial, abriéndote las puertas a proyectos de mayor complejidad y responsabilidad. Podrás consolidar tu trayectoria como Ingeniero de Deep Learning, diseñando e implementando soluciones innovadoras con redes neuronales y estrategias de aprendizaje avanzadas. Te diferenciarás como Especialista en Machine Learning Avanzado, optimizando algoritmos de clasificación y extracción de estructura de datos. Además, te permitirá destacar como Desarrollador de Sistemas de Recomendación, creando modelos sofisticados con filtrado colaborativo e híbrido. Serás un profesional clave en la aplicación de Python, Keras y TensorFlow para resolver desafíos complejos en inteligencia artificial aplicada.

What does it prepare you for?

Este programa te prepara para dominar los desafíos del aprendizaje profundo y automático. Desarrollarás la capacidad de diseñar sistemas de recomendación avanzados, aplicando técnicas de clustering para la extracción de estructura de datos. Implementarás y optimizarás algoritmos de clasificación, mejorando la precisión en tareas complejas. Además, diseñarás y entrenarás redes neuronales, incluyendo redes multicapa y sistemas neuronales, utilizando eficazmente Python, Keras y TensorFlow. Adquirirás las competencias para aplicar estrategias de aprendizaje avanzadas, diferenciándote como especialista en la implementación de soluciones de inteligencia artificial. Te formarás en el diseño de redes neuronales para la implementación de soluciones de IA de nueva generación.

Who is it addressed to?

Este programa está dirigido a profesionales y titulados del sector tecnológico que ya trabajan con inteligencia artificial y machine learning. Si buscas actualizar y especializar tus conocimientos en Deep Learning, este programa te ofrece la especialización necesaria para consolidar tu perfil. Es ideal para quienes desean dominar herramientas como Python, Keras y TensorFlow, aplicándolas en el diseño de sistemas de recomendación, redes neuronales y estrategias de aprendizaje avanzadas. Te permitirá diferenciarte como especialista en el ámbito del aprendizaje profundo y la IA aplicada.

Objectives

• Dominar los fundamentos del aprendizaje automático y sus diferencias con el aprendizaje profundo. • Implementar algoritmos de agrupamiento para la extracción avanzada de patrones en conjuntos de datos. • Diseñar y desarrollar arquitecturas de recomendación utilizando técnicas de filtrado colaborativo e híbrido. • Optimizar algoritmos de clasificación para mejorar la precisión en el análisis de datos. • Construir y entrenar modelos de redes neuronales, incluyendo arquitecturas multicapa, con Python. • Aplicar Keras y TensorFlow para el desarrollo práctico de soluciones de aprendizaje profundo. • Analizar y seleccionar estrategias de aprendizaje avanzadas para resolver problemas complejos de inteligencia artificial.

Advanced Deep Learning Course

$433.00