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    12

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

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    12

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

    magic_button Machine Learning Pipeline Machine Learning Operations Machine Learning
    These skills were generated by AI. Do you agree this course teaches these skills?
    8 hours Intermediate universal_currency_alt 5 Credits

    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.

    When you complete this course, you can earn the badge displayed here! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!

    Badge for Machine Learning Operations (MLOps) with Vertex AI: Manage Features
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    Course Info
    Objectives
    • 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.
    Prerequisites
    • 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.
    Audience
    Intermediate
    Available languages
    English, español (Latinoamérica), français, 日本語, 한국어, and português (Brasil)
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    View the public classroom schedule here.
    Can I take this course for free?
    When you enroll into most courses, you will be able to consume course materials like videos and documents for free. If a course consists of labs, you will need to purchase an individual subscription or credits to be able consume the labs. Labs can also be unlocked by any campaigns you participate in. All required activities in a course must be completed to be awarded the completion badge.
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