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Machine Learning University Microcredential + 3 Credits

Name: Machine Learning University Microcredential + 3 Credits
Brand: Unimiami eCommerce
SKU: 430410-2601
Availability: InStock

$89,00

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135 hours

Duration

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Spanish

Language

3 CR

Credits

Agenda

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Specialized teaching staff

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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Microcredentials

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Skills demanded by the labor market quickly.

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Frequently asked questions

The Machine Learning Microcredential is presented as a gateway to one of the most dynamic and booming sectors in the technological world. Artificial intelligence and machine learning have become essential pillars for innovation in multiple industries, from health to finance. This course offers you the opportunity to acquire key skills in machine learning, from the fundamentals to the understanding and application of artificial neural networks. Throughout the program, you will explore learning mechanisms and discover how to interpret results effectively, preparing you to face real challenges in the workplace. The demand for professionals trained in machine learning is growing at a rapid pace, and our online training allows you to access this knowledge flexibly, adapting to your individual needs. Don't miss the opportunity to position yourself at the forefront of the technological revolution.

- Machine Learning engineer in technology companies - Data scientist applying RNA models - Specialist in artificial intelligence for startups - Consultant in data analysis with a focus on machine learning - Developer of pattern recognition systems - Analyst in market research firms using classification techniques - Expert in optimizing neural network topologies

This course prepares you to understand and apply key concepts in Machine Learning and artificial neural networks. You will learn to identify and classify different types of neural networks, understand their operation and characteristics, as well as the learning mechanisms that govern them. In addition, you will develop skills to build and train a neural network, interpreting the results obtained effectively, which will allow you to address complex problems in your professional field.

The Machine Learning Microcredential course is aimed at professionals and graduates in the technological and scientific field who want to deepen the introduction to artificial neural networks and their characteristics. Ideal for those interested in understanding learning mechanisms and in the construction and interpretation of results in neural networks.

- Acquire basic knowledge of machine learning and its application in real problems. - Understand the operation and structure of artificial neural networks. - Identify the characteristics and types of the most common artificial neural networks. - Explore the theoretical foundations that support artificial neural networks. - Analyze the different learning mechanisms in neural networks. - Examine the various neural network topologies and their impact on performance. - Develop skills to correctly interpret the results of neural networks.

Machine Learning University Microcredential + 3 Credits

$89,00