Gen AI Dev- Implement Monitoring Systems

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Gen AI Dev- Implement Monitoring Systems

Instructor: AWS Instructor

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5 modules

Gain insight into a topic and learn the fundamentals.

Advanced level

Recommended experience

1 hour to complete

Flexible schedule

Learn at your own pace

5 modules

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

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There are 5 modules in this course

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

What's included

7 readings

What's included

17 readings

17 readingsTotal 18 minutes

Introduction1 minute
Case study - E-commerce recommendation dashboard1 minute
Dashboard design principles for generative AI applications1 minute
Integrating diverse metrics into unified views1 minute
Visualization strategies for actionable insights1 minute
Amazon CloudWatch dashboard JSON configurations1 minute
Amazon CloudWatch integration for generative AI monitoring1 minute
Dashboard implementation best practices1 minute
Introduction1 minute
CloudWatch fundamentals for generative AI1 minute
Token usage and cost monitoring2 minutes
Prompt effectiveness monitoring1 minute
Response quality and hallucination monitoring1 minute
Agent quality monitoring with Amazon Bedrock AgentCore1 minute
Amazon Bedrock model invocation logs1 minute
Log analysis and insights1 minute
Best practices for CloudWatch implementation1 minute

What's included

8 readings

8 readingsTotal 8 minutes

Introduction1 minute
Understanding baseline requirements for generative AI1 minute
Collecting usage baselines for anomaly detection1 minute
Call pattern tracking and analysis1 minute
CloudWatch anomaly detection best practices1 minute
Third-Party monitoring integration1 minute
Performance framework implementation1 minute
Best practices for baseline management1 minute

What's included

15 readings

15 readingsTotal 15 minutes

Introduction1 minute
Case study - E-commerce search optimization1 minute
Vector database performance fundamentals1 minute
Key performance indicators for vector databases1 minute
Product-specific monitoring approaches1 minute
Performance monitoring implementation1 minute
Automated monitoring and alerting strategies1 minute
Best practices for vector database monitoring1 minute
Introduction1 minute
Index optimization fundamentals1 minute
Automated index optimization techniques1 minute
Automated index optimization techniques1 minute
Data quality validation with practical thresholds1 minute
Automated optimization workflows1 minute
Best practices for automated optimization1 minute

What's included

4 readings1 assignment

Instructor

AWS Instructor

Amazon Web Services

187 Courses366,231 learners

Offered by

Amazon Web Services

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