This is a self-paced lab that takes place in the Google Cloud console. AutoML Vision helps developers with limited ML expertise train high-quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).



Classify Images of Clouds in the Cloud with AutoML Vision

Instructor: Google Cloud Training
Access provided by Capgemini
(13 reviews)
What you'll learn
- Uploading a labeled dataset to Cloud Storage and connecting it to AutoML Vision with a CSV label file. 
- Training a model with AutoML Vision and evaluating its accuracy. 
- Generating predictions on your trained model. 
Skills you'll practice
Details to know

Add to your LinkedIn profile
Only available on desktop
See how employees at top companies are mastering in-demand skills

Learn, practice, and apply job-ready skills in less than 2 hours
- Receive training from industry experts
- Gain hands-on experience solving real-world job tasks

About this project
Instructor

Offered by
How you'll learn
- Hands-on, project-based learning - Practice new skills by completing job-related tasks with step-by-step instructions. 
- No downloads or installation required - Access the tools and resources you need in a cloud environment. 
- Available only on desktop - This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices. 
Why people choose Coursera for their career




Learner reviews
13 reviews
- 5 stars61.53% 
- 4 stars15.38% 
- 3 stars7.69% 
- 2 stars0% 
- 1 star15.38% 
Showing 3 of 13
Reviewed on Jun 7, 2022
It is very good project to get hands on GCP. It is well design with an intermidiate difficulty level.
You might also like
 - Coursera Project Network 
 - Coursera Project Network 



