Machine Learning Microcredential: Application of AI for Machine Learning + 2 ECTS Credits

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Machine Learning Microcredential: Application of AI for Machine Learning + 2 ECTS Credits

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$69.00
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Duration

50 hours

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Credits

2 ECTS

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Language

Spanish

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No limit

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Agenda

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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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Machine Learning Microcredential Degree: Application of AI for Machine Learning with 50 hours and 2 ECTS issued by the Antonio de Nebrija University

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boosting learning

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millions of students around the world

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Learn from the best in your sector

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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 today's digital age, artificial intelligence and machine learning are revolutionizing industries at an unprecedented pace. Machine Learning: Applying AI to Machine Learning is your gateway to this exciting and growing field. As companies across all sectors look to optimize their processes and make smarter decisions, the demand for trained AI professionals is constantly increasing. This course offers you a deep understanding of machine learning techniques and tools, equipping you with skills to develop innovative and efficient solutions. You'll learn how to analyze data, build predictive models, and apply advanced algorithms, all from the comfort of your home. Don't miss the opportunity to be part of this technological transformation and position yourself as a sought-after expert in the labor market.

Job opportunities

- Data scientist specialized in predictive models - Machine Learning engineer in technology companies - Developer of AI algorithms for startups - Consultant in business process automation - Data analyst for resource optimization - Specialist in personalization of user experiences - Expert in maintenance and improvement of AI systems - Researcher in new machine learning applications

What does it prepare you for?

By completing the Machine Learning: Applying AI to Machine Learning course, you will be trained to design and implement machine learning models that solve complex real-world problems. You will learn to handle large volumes of data, select appropriate algorithms and evaluate their effectiveness. In addition, you will acquire skills to optimize models and improve their accuracy, applying advanced AI techniques that will allow you to innovate in your professional field.

Who is it addressed to?

This course is designed for professionals and graduates in the technology sector seeking to expand their knowledge in artificial intelligence and machine learning. Ideal for those interested in understanding basic concepts and practical applications of Machine Learning, without requiring advanced prior knowledge on the subject.

Objectives

- Understand the fundamentals of machine learning and its impact on artificial intelligence. - Identify different machine learning algorithms and evaluate their applicability in various contexts. - Analyze data sets to select relevant features in AI models. - Implement supervised and unsupervised learning models effectively. - Evaluate the performance of machine learning models through specific metrics. - Apply data preprocessing techniques to improve the quality of the models. - Develop skills for the interpretation and communication of analytical results in AI.

Machine Learning Microcredential: Application of AI for Machine Learning + 2 ECTS Credits

$69.00

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