Objetivos

Understand the fundamentals and trends of machine learning.

Know and apply different machine learning algorithms to solve problems.

Use tools such as Python, Scikit-learn, TensorFlow or PyTorch.

Deploy and consume machine learning models in productive environments.

Evaluate and improve the quality and performance of machine learning models.

Implement a support system following the DSS and IDSS standard.

Contenido

Metodología

Entre el material entregado en este curso se adjunta un documento llamado Guía del Alumno dónde aparece un horario de tutorías telefónicas y una dirección de e-mail dónde podrá enviar sus consultas, dudas y ejercicios. La metodología a seguir es ir avanzando a lo largo del itinerario de aprendizaje online, que cuenta con una serie de temas y ejercicios. Para su evaluación, el alumno/a deberá completar todos los ejercicios propuestos en el curso. La titulación será remitida al alumno/a por correo una vez se haya comprobado que ha completado el itinerario de aprendizaje satisfactoriamente.

Para qué te prepara

The Diploma in Deployment of Machine Learning Models in Production Environments prepares you to work with data from an intelligent and innovative perspective such as artificial intelligence and machine learning. At the end of the course, you will obtain a certificate that accredits your competencies and skills in machine learning. This will allow you to access different job opportunities.

A quién va dirigido

This Diploma in Deployment of Machine Learning Models in Production Environments is aimed at all those people who want to start or deepen their knowledge in the field of machine learning, either for professional or personal reasons. The course is designed so that you can follow it at your own pace, with personalized exercises and follow-ups.

Oportunidades profesionales

The job opportunities of the Diploma in Deployment of Machine Learning Models in Production Environments are very broad and varied, since machine learning is an essential activity in any field that requires the use or generation of information based on data. The professional positions you will be able to apply for are data analyst, or AI consulting staff, Machine Learning engineer, etc.