Coursera

End-to-End Machine Learning with TensorFlow on GCP (Coursera)

Offered by Google Cloud,
End-to-End Machine Learning with TensorFlow on GCP (Coursera)

In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization. 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.

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Prerequisites:
Basic SQL, familiarity with Python and TensorFlow.
Course 1 of 5 in the Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization.

Syllabus

WEEK 1
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.

WEEK 2
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.

WEEK 3
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.

Go to Class
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