Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Online Course

Custom Prediction Routine on Google AI Platform

Coursera Project Network via Coursera

(1)
  • Provider Coursera
  • Cost Paid Course
  • Session Upcoming
  • Language English
  • Certificate Paid Certificate Available
  • Effort 6 hours a week
  • Duration 1 weeks long
  • Learn more about MOOCs

Taken this course? Share your experience with other students. Write review

Overview

Please note: You will need a Google Cloud Platform account to complete this course. Your GCP account will be charged as per your usage. Please make sure that you are able to access Google AI Platform within your GCP account. You should be familiar with python programming, and Google Cloud Platform before starting this hands on project. Please also ensure that you have access to the custom prediction routine feature in Google AI Platform.

In this 2-hour long project-based course, you will learn how to deploy, and use a model on Google’s AI Platform. Normally, any model trained with the TensorFlow framework is quite easy to deploy, and you can simply upload a Saved Model on Google Storage, and create an AI Platform model with it. But, in practice, we may not always use TensorFlow. Fortunately, the AI Platform allows for custom prediction routines as well and that’s what we are going to focus on. Instead of converting a Keras model to a TensorFlow Saved Model, we will use the h5 file as is. Additionally, since we will be working with image data, we will use this opportunity to look at encoding and decoding of byte data into string for data transmission and then encoding of the received data in our custom prediction routine on the AI Platform before using it with our model.

This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your Internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with (e.g. Python, Jupyter, and Tensorflow) pre-installed.

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.

Taught by

Amit Yadav

Help Center

Most commonly asked questions about Coursera

Review for Coursera's Custom Prediction Routine on Google AI Platform Based on 1 reviews

  • 5 star 100%
  • 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
  • 1
Aboubaker A
Aboubaker is taking this course right now, spending 5 hours a week on it and found the course difficulty to be easy.
I need to learning english course I’m very happy to study I want to tankful for all my teachers I never before take online english course I’m interesting to take it thanks everyone
Was this review helpful to you? Yes
  • 1

Class Central

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free

Never stop learning Never Stop Learning!

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free