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    09

    Build, Train and Deploy ML Models with Keras on Google Cloud

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    09

    Build, Train and Deploy ML Models with Keras on Google Cloud

    magic_button TensorFlow Machine Learning Pipeline Machine Learning Model Training
    These skills were generated by A.I. Do you agree this course teaches these skills?
    15 hours 30 minutes Intermediate universal_currency_alt 25 Credits

    This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.

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    info
    Course Info
    Objectives
    • Design and build a TensorFlow input data pipeline.
    • Use the tf.data library to manipulate data in large datasets.
    • Use the Keras Sequential and Functional APIs for simple and advanced model creation.
    • Train, deploy, and productionalize ML models at scale with Vertex AI.
    Prerequisites

    Some familiarity with basic machine learning concepts

    Basic proficiency with a scripting language; Python preferred
    Audience
    - Data Analysts - Data Engineers - Data Scientists - ML Engineers - ML Software Engineers
    Available languages
    English, 日本語, français, español (Latinoamérica), 한국어, português (Brasil), and italiano
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