12 Machine Learning Operations (MLOps) with Vertex AI: Manage Features

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Machine Learning Operations (MLOps) with Vertex AI: Manage Features

Name: Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Rating: 4.17 (367 reviews)

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Machine Learning Pipeline

Machine Learning Operations

Machine Learning

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8 heures Intermédiaire universal_currency_alt 5 crédits

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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Informations sur le cours

Objectifs

Containerize ML workflows for reproducibility, reuse, and scalable training and inference on Google Cloud.
Efficiently share, discover, and re-use ML features at scale while conducting reproducible ML experiments with Vertex AI Feature Store.

Prérequis

Proficiency with Python on topics covered in the Crash Course on Python.
Prior experience with foundational machine learning concepts and building machine learning solutions on Google Cloud as covered in the Machine Learning on Google Cloud course.

Cible

Intermediate

Langues disponibles

English, español (Latinoamérica), français, 日本語, 한국어 et português (Brasil)

Google Cloud Skills Boost

12

Machine Learning Operations (MLOps) with Vertex AI: Manage Features

12

Machine Learning Operations (MLOps) with Vertex AI: Manage Features