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    05

    Introduction to AI and Machine Learning on Google Cloud

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    05

    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.

    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!

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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, and bahasa Indonesia
    What do I do when I finish this course?
    After finishing this course, you can explore additional content in your learning path or browse the catalog.
    What badges can I earn?
    Upon finishing the required items in a course, you will earn a badge of completion. Badges can be viewed on your profile and shared with your social network.
    Interested in taking this course with one of our authorized on-demand partners?
    Explore Google Cloud content on Coursera and Pluralsight.
    Prefer learning with an instructor?
    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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