Time is running out.
Less than 36 hours left.

The campaign closes tomorrow at 11:59 PM ET, and the Kickstarter pricing disappears with it.

If you have been on the fence all week, here is the whole decision in one shot.

A year from now there are two versions of you.

  • One backed this campaign, worked through the 8 lessons, and now points a working serverless deployment pipeline at every new model: notebook in, live app out.
  • The other still has a folder full of trained models and a "deploy this someday" list that never gets shorter.
Same talent. Same tools.
The difference is one decision, and the window on it closes this weekend.

Back today and you get the complete eBook, all 8 video lessons, every line of working code, and lifetime access.

That is over $1,000 in training ($550 eBook + $450 course) at Kickstarter pricing, and if you freelance, a single client deployment project bills for more than this entire bundle.

If you can train a model and run a terminal, you already have every prerequisite.
And you'll have it all in your inbox soon: the work is finished, and we have delivered 8 Kickstarter campaigns before this one.

Andrew Baker, Senior Advanced Systems Engineer at Honeywell, put it best:
"Next to Andrew Ng, PyImageSearch is the definitive resource for Computer Vision and Deep Learning. I have subscribed to all of his courses and fully endorse their teachings. You will not be disappointed."

Two quick notes before you pledge.

  1. You can still add Production Deployment Vol. 1 (deploying BLIP on AWS) to any tier for $149, 50% off the $297 retail, and it is included free in the two biggest bundles.
  2. If your employer covers continuing education, reply with proof of the tier you backed and we will send an itemized invoice you can forward to your manager.

At midnight, one of those two versions of you gets locked in. You pick which.

>> Back it now before it's too late

Your PyImageSearch Team

Not interested in Serverless AI Kickstarter? Opt Out of this offer while still getting your technical Monday Morning Emails.