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 Professional Certificate
Instructor: AWS Instructor
Access provided by Effat 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
Skills you'll gain
- Artificial Intelligence and Machine Learning (AI/ML)
- Retrieval-Augmented Generation
- Continuous Monitoring
- MLOps (Machine Learning Operations)
- Data Pipelines
- Machine Learning
- Dashboard Creation
- Artificial Intelligence
- System Monitoring
- Natural Language Processing
- Anomaly Detection
- Performance Tuning
- Cloud Computing
- Embeddings
- Software Development
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 Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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There are 5 modules in this course
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