PluralSight – Shadow Deployment For Generative AI 2025
English | Tutorial | Size: 41.18 MB
Learn how to safely deploy new AI models using shadow deployments. This course will teach you how to test, monitor, and gather feedback without impacting users, ensuring a smooth, low-risk rollout of generative AI features.
What you’ll learn
Generative AI deployments require careful testing and monitoring to ensure a smooth user experience.
In this course, Shadow Deployment for Generative AI, you’ll learn how to deploy new AI models with minimal risk without disrupting users.
First, you’ll explore the concept of shadow deployment and how it allows you to run parallel systems for real-time testing.
Next, you’ll discover how to implement shadow deployments using feature flags and performance tracking tools.
Finally, you’ll learn strategies for gathering user feedback and monitoring key performance metrics without impacting the user base.
When you’re finished with this course, you’ll have the skills and knowledge to deploy and monitor generative AI systems safely, reducing risk while gathering actionable data before going live.
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