Advanced Deep Learning Course

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Advanced Deep Learning Course

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$419.00
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Duration

200 hours

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Credits

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Language

Spanish

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

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Advanced Deep Learning Course Title with 200 hours issued by Structuralia

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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 Law RDU Digital; 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 Law Digital; 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 Law RDU Digital; 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 Law Digital; 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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Course information

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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

The specialization in Deep Learning positions you as a technical reference in the artificial intelligence sector, opening the doors to projects of greater complexity and responsibility. You will be able to consolidate your career as a Deep Learning Engineer, designing and implementing innovative solutions with neural networks and advanced learning strategies. You will differentiate yourself as an Advanced Machine Learning Specialist, optimizing classification algorithms and data structure extraction. In addition, it will allow you to stand out as a Recommendation Systems Developer, creating sophisticated models with collaborative and hybrid filtering. You will be a key professional in the application of Python, Keras and TensorFlow to solve complex challenges in applied artificial intelligence.

What does it prepare you for?

This program prepares you to master the challenges of deep and machine learning. You will develop the ability to design advanced recommendation systems, applying clustering techniques for data structure extraction. You will implement and optimize classification algorithms, improving accuracy in complex tasks. Additionally, you will design and train neural networks, including multilayer networks and neural systems, effectively using Python, Keras, and TensorFlow. You will acquire the skills to apply advanced learning strategies, differentiating yourself as a specialist in the implementation of artificial intelligence solutions. You will be trained in the design of neural networks for the implementation of next-generation AI solutions.

Who is it addressed to?

This program is aimed at professionals and graduates in the technology sector who already work with artificial intelligence and machine learning. If you are looking to update and specialize your knowledge in Deep Learning, this program offers you the necessary specialization to consolidate your profile. It is ideal for those who want to master tools such as Python, Keras and TensorFlow, applying them in the design of recommendation systems, neural networks and advanced learning strategies. It will allow you to differentiate yourself as a specialist in the field of deep learning and applied AI.

Objectives

• Master the fundamentals of machine learning and its differences from deep learning. • Implement clustering algorithms for advanced pattern extraction in data sets. • Design and develop recommendation architectures using collaborative and hybrid filtering techniques. • Optimize classification algorithms to improve accuracy in data analysis. • Build and train neural network models, including multilayer architectures, with Python. • Apply Keras and TensorFlow for the practical development of deep learning solutions. • Analyze and select advanced learning strategies to solve complex artificial intelligence problems.

Advanced Deep Learning Course

$419.00

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