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

    12

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

    magic_button Machine Learning Pipeline Machine Learning Operations Machine Learning
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    8 год Середній universal_currency_alt 5 кредитів

    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.

    Complete this activity and earn a badge! Boost your cloud career by showing the world the skills you’ve developed.

    Значок за Machine Learning Operations (MLOps) with Vertex AI: Manage Features
    info
    Інформація про курс
    Цілі
    • 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.
    Рівень попередньої підготовки
    • 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.
    Аудиторія
    Intermediate
    Доступні мови
    English, español (Latinoamérica), français, 日本語, 한국어 та português (Brasil)
    Попередній перегляд