This module focuses on implementing comprehensive monitoring systems specifically designed for generative AI applications. You will learn to create actionable dashboards, establish performance baselines, detect anomalies, and monitor specialized components like vector databases that are unique to AI workloads.In this lesson, you will learn how to do the following:Implement comprehensive monitoring and observability systems for generative AI applicationsMonitor and optimize vector database perfor
Gen AI Dev- Implement Monitoring Systems

Gen AI Dev- Implement Monitoring Systems
This course is part of AWS Generative AI Developer Advanced Specialization

Instructor: AWS Instructor
Access provided by Michigan State University
Gain insight into a topic and learn the fundamentals.
Advanced level
Recommended experience
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
Implement comprehensive monitoring and observability systems for generative AI applications
Implement call pattern tracking systems that identify usage trends and anomalies
Apply optimization techniques for FAISS indexes and approximate nearest neighbor algorithms
Details to know

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Assessments
1 assignment
Taught in English
Recently updated!
September 2026
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This course is part of the AWS Generative AI Developer Advanced Specialization
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There are 5 modules in this course
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