It's live.

"I can train a model. What I cannot do is get all the pieces to fit together, from the model to a thing that actually runs in production."

Some version of that is the most common thing you have told us for years.

As of 9:00 AM ET this morning, we fixed it.

Full-Stack Serverless AI is live on Kickstarter, and here is the math that matters: one deployed client project bills for more than this entire bundle.

If you freelance, consult, or take Upwork contracts, run the numbers yourself.
Search any freelance platform for "deploy machine learning model" and look at the project rates.

Deployment is the skill clients pay a premium for, because plenty of people can train a model in a notebook and very few can turn it into a live application. Deliver one client project with this skill and the bundle has covered its own cost.
You are not buying a course.
You are buying a billable skill.

On payroll instead?
Most companies reimburse continuing education.
Reply with confirmation of the tier you chose and we will send an itemized invoice you can forward to your manager.

Here is the path you will build, end to end:

Convert your PyTorch model to ONNX and benchmark its real inference speed
Wrap it in a FastAPI server and containerize it with Docker
Push it to AWS ECR and stand up a live AWS Lambda function
Expose it through API Gateway
Build a Next.js frontend and deploy it on Vercel
The whole stack runs serverless and scales to zero, so you pay pennies when nobody is using it

And no, you do not need a DevOps background.

If you can train a PyTorch model and run a terminal, you can build this. Every step ships with working code you run as you go, so you are never staring at a wall of AWS documentation wondering what comes next.

You get the 8-chapter eBook ($550 retail), the 8-lesson video course ($450 retail), every line of production code, Colab notebooks, and lifetime access. That is over $1,000 of material, and launch pricing is a fraction of it.

Want the container deployment path too?
Add Production Deployment Vol. 1: Deploying BLIP on AWS (140+ page eBook + 5 videos + code, $297 retail) to any pledge for $149, 50% off.
The two biggest tiers include it free.

And this is finished work, not a roadmap.
We have funded and delivered 8 Kickstarter campaigns and published a Monday tutorial for 520+ straight weeks.

It is the same code-first teaching Francois Chollet, the creator of Keras, praised: "explanations are clear and highly detailed", with "practical tips and recommendations that are rarely included in other books or in university courses."

It is what Yi Shern used to ship a visual search feature at 123RF that scales to millions of images.

One more number before you decide when to click: the deepest discount, 30% off, is capped at 10 backers per tier.

When those ten spots fill, the price steps up and never comes back down.
Our last Kickstarter campaign funded in 25 minutes, so those caps are filling while you read this.

Everything closes Sunday, June 21 at 11:59 PM ET.

Back it now and lock the best price this campaign will ever have:

>> Back Full-Stack Serverless AI now

Your PyImageSearch Team

P.S. The 30% tiers may already be gone by the time you read this. Whatever price is live right now is the best one you will see, and it moves in only one direction. One billable skill, one client project to cover it: grab your spot before the next price step.

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