End-to-End Machine Learning with TensorFlow on GCP

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Free Online Course: End-to-End Machine Learning with TensorFlow on GCP provided by Coursera is a comprehensive online course, which lasts for 3 weeks long, 13 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from Coursera. End-to-End Machine Learning with TensorFlow on GCP is taught by Google Cloud Training.

Overview
  • In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization (https://www.coursera.org/specializations/machine-learning-tensorflow-gcp).

    One of the best ways to review something is to work with the concepts and technologies that you have learned.

    So, this course is set up as a workshop and in this workshop, you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform

    Prerequisites:
    Basic SQL, familiarity with Python and TensorFlow

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Syllabus
    • Welcome to the Course
      • We'll give you an overview of this course and reveal the upcoming Advanced Machine Learning with TensorFlow on GCP specialization.
    • Machine Learning (ML) on Google Cloud Platform (GCP)
      • This module reviews the steps of deploying machine learning in a production environment.
    • Explore the Data
      • This module explores a large dataset using Datalab and BigQuery.
    • Create the dataset
      • This modules shows how to use Pandas in Datalab and sample a dataset for local development.
    • Build the Model
      • This module let's you develop a machine learning model in Tensorflow.
    • Operationalize the model
      • This module explains how to preprocess data at scale for machine learning and lets you train a machine learning model at scale on Cloud AI Platform.
    • Summary
      • This module reviews what you've learned in this course.