Google Earth Engine Machine Learning

Details

Length: 2 days
Time: Office hours in your timezone
Location: Online – US, EU and SE Asian timezones
Or contact NGIS on the form at the bottom of the page to request a corporate course.

The Google Earth Engine Machine Learning course will focus on the advanced Machine Learning capabilities. Best practices for Machine Learning for Earth Observations will be presented along with the ML features of Earth Engine and the broader Google Cloud Platform.

NGIS are able to offer group training sessions for a team of six or more on an agreed date online only. Please send an email to training@ngis.com.au to start this discussion.

Google Earth Engine Fundamentals or equivalent skills

ML in Earth Engine Overview
ML best practices
Training data
Validating data
Supervised classification
Unsupervised classification
Tensorflow API
Exporting Tensorflow records
Neural segmentation
Designing Deep Neural Network Models
Designing Full Convolution Neural Network Models
Image classification through ML

*NGIS reserves the right to cancel, postpone or re-schedule courses due to low enrolments or unforeseen circumstances. Where a fee refund is due, such a refund will be provided within 30 days. NGIS will have no further liability.

Contact us

Submit this form to start the booking process.

Please ensure the details are of the individual attending the course.

Would you like to be kept up to date with the NGIS training program?
Have you read the NGIS training terms and conditions?(Required)