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    02

    Introduction to AI and Machine Learning on Google Cloud

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    02

    Introduction to AI and Machine Learning on Google Cloud

    magic_button Machine Learning Machine Learning Models Machine Learning Pipeline
    These skills were generated by AI. Do you agree this course teaches these skills?
    8 hours Introductory universal_currency_alt 10 Credits

    This course introduces the AI and machine learning (ML) offerings on Google Cloud that build both predictive and generative AI projects. It explores the technologies, products, and tools available throughout the data-to-AI life cycle, encompassing AI foundations, development, and solutions. It aims to help data scientists, AI developers, and ML engineers enhance their skills and knowledge through engaging learning experiences and practical hands-on exercises.

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    Course Info
    Objectives
    • Recognize the data-to-AI technologies and tools provided by Google Cloud.
    • Build generative AI projects by using Gemini multimodal, efficient prompts, and model tuning.
    • Explore various options for developing an AI project on Google Cloud.
    • Create an ML model from end-to-end by using Vertex AI.
    Prerequisites

    Basic knowledge of machine learning concepts

    Prior experience with programming languages such as SQL and Python
    Audience
    Data scientist, AI developers, ML engineers
    Available languages
    English, español (Latinoamérica), français, italiano, 日本語, 한국어, português (Brasil), 简体中文, 繁體中文, Deutsch וbahasa Indonesia
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