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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.

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