Online Course
End-to-End Machine Learning with TensorFlow on GCP
Google Cloud and Google via Coursera
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Overview
Class Central Tips
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
-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.
Taught by
Google Cloud Training
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