Online Course
End-to-End Machine Learning with TensorFlow on GCP
Google Cloud and Google via Coursera
- Provider Coursera
- Cost Free Online Course (Audit)
- Session Upcoming
- Language English
- Certificate Paid Certificate Available
- Effort 8-10 hours a week
- Duration 3 weeks long
- Learn more about MOOCs
Taken this course? Share your experience with other students. Write review
Become a Data Scientist
datacamp.com
Learn Python & R at your own pace. Start now for free!
AD
Class Central Custom Lists
Build and share your own catalog of courses with Class Central's custom lists.
Overview
Class Central Tips
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
>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<
COMPLETION CHALLENGE
Complete any GCP specialization from November 5 - November 30, 2019 for an opportunity to receive a GCP t-shirt (while supplies last). Check Discussion Forums for details.
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
>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<
COMPLETION CHALLENGE
Complete any GCP specialization from November 5 - November 30, 2019 for an opportunity to receive a GCP t-shirt (while supplies last). Check Discussion Forums for details.
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.
-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
Help Center
Most commonly asked questions about Coursera
Reviews for Coursera's End-to-End Machine Learning with TensorFlow on GCP Based on 0 reviews
- 5 star 0%
- 4 star 0%
- 3 star 0%
- 2 star 0%
- 1 star 0%
Did you take this course? Share your experience with other students.
Write a review
Never Stop Learning!
