Course in Machine Learning Operations (MLOps)

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Course in Machine Learning Operations (MLOps)

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$427.00
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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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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 in Machine Learning Operations (MLOps)

Información adicional del Online COURSE

Course in Machine Learning Operations (MLOps)

6 months de tutorización

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Course information

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Course information

Description
This Course in Machine Learning Operations (MLOps) provides a complete view of machine learning project management, highlighting the automation, deployment and monitoring of models in production environments. Throughout the training, data acquisition, configuration of development environments and advanced tools such as MLflow, Kubeflow and Prometheus are covered. Through comparisons with DevOps and DataOps, students are prepared to integrate MLOps in various industries, optimizing the performance and reliability of ML models. In addition, it covers the prevention of model degradation and guarantees compliance with quality standards thanks to the use of all these technologies.

Job opportunities

By passing this Course in Machine Learning Operations (MLOps) you will be able to apply for roles in MLOps engineering, data science, data engineering or a DevOps specialist focused on machine learning integration. Thanks to the training you will obtain a highly demanded profile in sectors such as technology, finance, health, commerce and manufacturing.

What does it prepare you for?

The Machine Learning Operations (MLOps) Course prepares you to efficiently manage machine learning projects in all their phases, from data acquisition to monitoring and maintaining models in production. You will learn to implement automation, testing and monitoring tools, integrating MLOps with existing systems to guarantee the scalability and reliability of ML models.

Who is it addressed to?

This Course in Machine Learning Operations (MLOps) is aimed at data professionals, software engineering, data science and machine learning specialists who seek to optimize the implementation and management of ML models in production, as well as automate development processes and improve the quality of their systems through the integration of MLOps.

Objectives

- Understand the key concepts and importance of MLOps. - Learn to automate ML processes with advanced tools. - Implement data acquisition and preprocessing strategies. - Configure development environments and test ML models. - Monitor performance and prevent degradation of models in production. - Integrate MLOps with other technologies and systems. - Learn about use cases of MLOps in different sectors.

Course in Machine Learning Operations (MLOps)

$427.00