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.
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Machine Learning Operations (MLOps): Getting Started - Español
Recommended experience
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
Details to know
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2 quizzes
See how employees at top companies are mastering in-demand skills
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Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
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There are 4 modules in this course
En este módulo, se proporciona una descripción general del curso
What's included
1 video
Principales problemas de los profesionales del AA El concepto de las DevOps aplicado al AA Las tres fases del ciclo de vida del AA Automatización de los procesos del AA
What's included
5 videos1 reading1 quiz
¿Qué es Vertex AI y por qué es importante disponer de una plataforma unificada? Introducción a las MLOps en Vertex AI ¿Cómo ayuda Vertex AI al flujo de trabajo de las MLOps? Parte 1 ¿Cómo ayuda Vertex AI al flujo de trabajo de las MLOps? Parte 2
What's included
6 videos1 reading1 quiz1 app item
Resumen
What's included
1 video1 reading
Instructor
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Recommended if you're interested in Machine Learning
Coursera Project Network
Universitat Autònoma de Barcelona
Universidad Nacional Autónoma de México
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New to Machine Learning? Start here.
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Last Updated: September 1, 2015
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