- 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
Who should attend Generative AI in Production Course
Prerequisites for Generative AI in Production Course
Generative AI in Production Course Outline
- GenAI Application Deployment
- Productionizing GenAI
- Securing GenAI Applications
- Observability for Production LLM Systems
Resources
FAQs on Generative AI in Production
This course is designed for Developers, DevOps Engineers, and Machine Learning Engineers who work with generative AI applications and need to deploy them into production environments.
Students should have prior attendance in the Application Development with LLMs on Google Cloud course before enrolling in this training.
You will learn to manage experimentation and evaluation for LLM-powered applications, productionize and secure generative AI applications, and implement effective logging and monitoring practices.
The course covers Introduction to GenAI in Production, GenAI Application Deployment, Productionizing GenAI, Securing GenAI Applications, and Observability for Production LLM Systems.
The course aims to help learners understand the challenges of productionizing generative AI applications, including deployment, security, monitoring, and experimentation management for LLM-powered systems.


