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Learner Reviews & Feedback for Using TensorFlow with Amazon Sagemaker by Coursera Project Network

4.7
stars
69 ratings
6 reviews

About the Course

Please note: You will need an AWS account to complete this course. Your AWS account will be charged as per your usage. Please make sure that you are able to access Sagemaker within your AWS account. If your AWS account is new, you may need to ask AWS support for access to certain resources. You should be familiar with python programming, and AWS before starting this hands on project. We use a Sagemaker P type instance in this project, and if you don't have access to this instance type, please contact AWS support and request access. In this 2-hour long project-based course, you will learn how to train and deploy an image classifier created and trained with the TensorFlow framework within the Amazon Sagemaker ecosystem. Sagemaker provides a number of machine learning algorithms ready to be used for solving a number of tasks. However, it is possible to use Sagemaker for custom training scripts as well. We will use TensorFlow and Sagemaker's TensorFlow Estimator to create, train and deploy a model that will be able to classify images of dogs and cats from the popular Oxford IIIT Pet Dataset. Since this is a practical, project-based course, we will not dive in the theory behind deep learning based image classification, but will focus purely on training and deploying a model with Sagemaker and TensorFlow. You will also need to have some experience with Amazon Web Services (AWS). Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

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1 - 6 of 6 Reviews for Using TensorFlow with Amazon Sagemaker

By Andrew H

Apr 08, 2020

By far the worst Coursera course I've ever done. The interface is barely useable (two windows in one tab), you have to sign up to various accounts including with a credit card for AWS, and the session times out in just over an hour for the two hour course. I want a refund! Avoid.

By Suhaimi W C

Sep 27, 2020

Great project and awesome customization. I got to learn a lot and practice what I learned in this class. Thanks to Amit for teaching this class.

By purnachand k

May 16, 2020

Very Interesting

By tale p

Jun 27, 2020

good

By Sebastian R G

Jul 24, 2020

This course will serve as a guide on how to use AWS SageMaker. However, there is no technical challenge to it. In my opinion, since the course is marked as difficult the students should be capable of solving some problems on their own.

I would still encourage people to learn about this tool since it can be used to take models into production with a simple API.

By Prafull S

Jun 24, 2020

The overall project is good.

But May be the coding style should have been better.

For example train.py could have been written in pycharm or even jupyter directly instead of %%writefile.