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    13

    Work with Gemini Models in BigQuery

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    13

    Work with Gemini Models in BigQuery

    3 hours Intermediate universal_currency_alt 10 Credits

    This course demonstrates how to use AI/ML models for generative AI tasks in BigQuery. Through a practical use case involving customer relationship management, you learn the workflow of solving a business problem with Gemini models. To facilitate comprehension, the course also provides step-by-step guidance through coding solutions using both SQL queries and Python notebooks.

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    Course Info
    Objectives
    • Recognize the AI capabilities of BigQuery.
    • Explain the workflow of using AI/ML models for predictive and generative tasks in BigQuery.
    • Create a solution for leveraging Gemini models in BigQuery with SQL queries.
    • Create a solution for leveraging Gemini models in BigQuery with Python notebooks.
    Prerequisites

    Prior experience with programming languages including SQL and/or Python

    Basic knowledge of ML and generative AI
    Audience
    Data scientists, Data analysts, AI developers
    Available languages
    English, Deutsch, español (Latinoamérica), français, bahasa Indonesia, 日本語, 한국어, português (Brasil), 简体中文, and 繁體中文
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    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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