Classes AI/ML
Generative AI in Production
- 1 days
- 0 upcoming dates
- May qualify for CEU/PDU credit
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.
We can also add you to the notify list for the next public date, though private delivery is usually faster and works out better per seat once you're past four or five people.
Request private datesAbout this class
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
How reserving works. Your card is authorized, not charged. We confirm the seat with the training center, usually within one business day, and take payment only once it is held. If the class turns out to be full we release the authorization and you are not charged.
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.