NIH Strides “Medical Imaging and Machine Learning in Google Cloud”

I have been told that anyone from any hospital or university that received NIH funding (even if the person taking the training does not have an active grant themselves) can take this training.

Picture this…

You have large amounts of siloed medical imaging data, but you don’t have the time or budget to manually prepare the images and datasets for annotation and analysis.

Don’t you wish there were tools available to you to make your imaging data accessible, interoperable, and insightful?
The cloud is here for you!

The NIH STRIDES Initiative and Google have teamed up to create a custom course for NIH staff and NIH-funded researchers: “Medical Imaging and Machine Learning in Google Cloud”.

The course introduces Google Cloud’s Medical Imaging Suite and works with real-life data sets from the National Cancer Institute’s Imaging Data Commons.

The course is offered at no cost in June, July, August, and September 2023.

Want more course details?
Required Prerequisites Format Duration & Dates
Experience working with medical imaging data

Basic understanding of machine learning

Basic familiarity with Google Cloud or watch this 6-minute video before attending the course Virtual with live instruction from Google experts One full day – 9:00 AM to 5:00 PM EST with the following date options*:*

  • Wednesday, June 21
  • Thursday, July 20
  • Tuesday, August 15
  • Thursday, September 21
    Ready to sign up?
    For NIH staff:

Visit the course page in the LMS to learn more. Click the “Begin Registration” button to select your preferred date.

For Institution and Organization staff associated with NIH:

Email Dr. Philip Meacham indicating your interest and any potential time zone conflicts.

If you have any questions about this course or additional cloud trainings, please message Dr. Philip Meacham or the STRIDES Training Team at

We look forward to seeing you in the cloud,


Cloud Computing Services Division of the Office of Scientific Computing Services

NIH Center for Information Technology

Know someone who works in medical imaging? Feel free to forward them this course information and encourage them to sign up. We’re here for both you and your colleagues!
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