ML Model Optimization Course + 8 ECTS Credits

UNIVERSITY COURSE 100% On-line

ML Model Optimization Course + 8 ECTS Credits

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$303.00
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Duration

200 hours

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Credits

8 ECTS

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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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ML Model Optimization Course Qualification with 200 hours and 8 ECTS issued by UTAMED-Atlantic Mediterranean Technological University.

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boosting learning

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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

In the field of machine learning, model optimization has become an essential skill for any professional who aspires to stand out in the sector. Job demand in this field is booming, and the ML Model Optimization course offers you a unique opportunity to acquire essential knowledge that makes a difference. You will learn to manage loss functions and evaluation metrics, apply advanced techniques such as gradient descent, and discover effective strategies to avoid overfitting, among others. Additionally, you will delve into the world of advanced optimizers such as ADAM and RMSprop, and explore tuning automation with innovative methods.

Job opportunities

The main professional opportunities of this Model Optimization in ML course are as a data science professional specialized in model optimization, responsible for machine learning with a focus on hyperparameter adjustment and specialist in deep neural networks aimed at reducing overfitting among other functions.

What does it prepare you for?

By completing the Model Optimization in ML course, you will prepare to improve the performance of machine learning models. You will learn to implement loss functions and evaluation metrics, apply gradient descent techniques and their variants, as well as regulate supervised models to avoid overfitting and underfitting. Additionally, you will develop skills in tuning hyperparameters through cross-validation.

Who is it addressed to?

The Model Optimization in ML course is designed for graduates in data science, engineering and related fields, interested in improving their skills in optimizing machine learning models. We will cover everything from optimization fundamentals to advanced techniques such as hyperparameter tuning and strategies to avoid overfitting.

Objectives

- Understand the fundamentals of optimization in machine learning. - Identify loss functions and model evaluation metrics. - Apply gradient descent techniques and their stochastic variants. - Implement regulation techniques in supervised models. - Perform hyperparameter tuning and cross-validation effectively. - Develop strategies to avoid overfitting and underfitting in models. - Optimize deep neural networks using advanced optimizers.

ML Model Optimization Course + 8 ECTS Credits

$303.00

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