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    15

    Machine Learning Operations (MLOps) for Generative AI

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    15

    Machine Learning Operations (MLOps) for Generative AI

    30 minutes Intermediate universal_currency_alt No cost

    This course is dedicated to equipping you with the knowledge and tools needed to uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models, and exploring how Vertex AI empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.

    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) for Generative AI
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    Course Info
    Objectives
    • Recognize the evolution of MLOps Explore the MLOps framework for Generative AI Explain the unique challenges of Generative AI Explore how Vertex AI empowers AI teams
    Prerequisites

    Working proficiency with Python on topics covered in the Google Crash Course on Python.

    Prior experience with foundational machine learning concepts and building machine learning solutions on Google Cloud as covered in Machine Learning on Google Cloud and Machine Learning Operations (MLOps) Getting Started v.2.0.
    Audience
    Intermediate
    Available languages
    English, Deutsch, español (Latinoamérica), français, bahasa Indonesia, 日本語, 한국어, português (Brasil), 简体中文, 繁體中文, and Türkçe
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    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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