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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 jam Menengah universal_currency_alt 5 Kredit

    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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    Info Kursus
    Tujuan
    • 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.
    Prasyarat
    • 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.
    Audiens
    Intermediate
    Bahasa yang tersedia
    English, español (Latinoamérica), français, 日本語, 한국어, dan português (Brasil)
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    Setelah menyelesaikan kursus, Anda akan mendapatkan badge kelulusan. Badge dapat dilihat di profil dan dibagikan di jaringan sosial Anda.
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