Partecipa Accedi

Shilpa K.Shibu

Membro dal giorno 2023

Campionato Argento

3345 punti
Machine Learning Operations (MLOps) with Vertex AI: Manage Features Earned giu 26, 2024 EDT
Machine Learning Operations (MLOps): Getting Started Earned giu 25, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals - Italiano Earned mar 25, 2024 EDT

This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Learners will get hands-on practice using Vertex AI Feature Store's streaming ingestion at the SDK layer.

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This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.

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Questo corso presenta i prodotti e i servizi per big data e di machine learning di Google Cloud che supportano il ciclo di vita dai dati all'IA. Esplora i processi, le sfide e i vantaggi della creazione di una pipeline di big data e di modelli di machine learning con Vertex AI su Google Cloud.

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