En este curso, se presentan a los participantes las herramientas y prácticas recomendadas de MLOps para implementar, evaluar, supervisar y operar sistemas de AA de producción en Google Cloud. Las MLOps son una disciplina enfocada en la implementación, prueba, supervisión y automatización de sistemas de AA en producción. Los ingenieros profesionales de aprendizaje automático usan herramientas para mejorar y evaluar continuamente los modelos implementados. Trabajan con científicos de datos (o pueden serlo) que desarrollan modelos para ofrecer velocidad y rigor en la implementación de modelos con el mejor rendimiento.

Machine Learning Operations (MLOps): Getting Started - Español

Machine Learning Operations (MLOps): Getting Started - Español

Instructor: Google Cloud Training
Access provided by Mojatu Foundation
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
4 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Identificar y usar tecnologías fundamentales para admitir MLOps eficaces
Adoptar las mejores prácticas de CI/CD en el contexto de sistemas de AA
Configurar y aprovisionar arquitecturas de Google Cloud para entornos de MLOps confiables y eficaces
Implementar entrenamiento confiable y repetible, y flujos de trabajo de inferencia
Skills you'll gain
Tools you'll learn
Details to know

Shareable certificate
Add to your LinkedIn profile
Assessments
2 assignments
Taught in Spanish
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There are 4 modules in this course
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