How much does Generative AI in Production cost?

$900 per seat. That covers courseware and lab access. Exam vouchers are quoted separately. Volume pricing is available for teams, and a private cohort is usually cheaper per seat past about four people.

How long is Generative AI in Production?

1 day of instructor-led training, delivered live online. Classes run during business hours in the timezone shown on each date.

When is the next Generative AI in Production class?

This course currently runs as a private cohort rather than on the public schedule. Tell us your dates and headcount and we will schedule it.

Is Generative AI in Production delivered online?

Yes. It runs live online with an instructor, not as a recording, so you can ask questions as you go. It can also be delivered privately at your site.

Can a government agency buy Generative AI in Production?

Yes. Purchase orders and government purchase cards are both accepted at checkout, and quotes can be formatted for a solicitation response. Terms are net 30 on invoiced orders.

What happens if I need to cancel Generative AI in Production?

Course fees are fully refundable with written notice at least ten business days before the class. Inside that window the fee is forfeited, though one free retake is available within six months of the class date.

Generative AI in Production | 1-day class

Upcoming dates

No public dates scheduled right now

This class runs as a private cohort on dates that suit your team, at your site or delivered live online. Tell us roughly when and how many people, and we'll come back with dates and a total.

Private delivery is usually faster and works out better per seat once you're past four or five people.

Request private dates

Or leave your details and we will email you the moment a public date is scheduled.

Email Name Seats Roughly when

One email when a date is set. Nothing else, and no list.

About this class

Generative AI in Production is not on the public schedule at the moment, and runs as a private cohort on dates you choose. Seats are $900 each over 1 day, courseware included. Tell us your dates and headcount and a quote comes back the same business day. Purchase orders welcome.

Traditional MLOps is a set of practices to productionize traditional ML systems for enterprise applications. Generative AI raises new challenges in managing and productionizing applications at scale. The field of generative AI operations seeks to address these new challenges. In this course, you learn about the challenges that arise when deploying and productionizing generative AI-powered applications. You learn how to secure your generative AI-powered applications. Finally, you will discuss best practices for logging and monitoring your generative AI-powered applications in production.

What you'll be able to do

Understand the challenges in productionizing applications using generative AI
Manage experimentation and evaluation for LLM-powered application
Productionize LLM-powered applications
Secure generative AI applications
Implement logging and monitoring for LLM-powered applications

Course outline

Introduction to GenAI in Production
GenAI Application Deployment
Productionizing GenAI
Securing GenAI Applications
Observability for Production LLM Systems

Before you attend

Before attending this course, students should have attended the Application Development with LLMs on Google Cloud course

Who this is for

Developers, DevOps Engineers, and Machine Learning Engineers

Request a quote

Tell us how many people and roughly when. We'll come back with dates, seat price, and a total by the end of the next business day.