• views: 160
• date: 3 July 2026
• posted by: voska89

Generative AI applications require evaluation, testing, and monitoring to ensure they perform reliably in production. In this course, AIP-C01: Testing, Validation, and Troubleshooting, you'll gain the ability to evaluate, troubleshoot, and validate generative AI workloads on AWS. First, you'll explore how to evaluate foundation model outputs using Bedrock's LLM-as-a-judge evaluations, human feedback workflows, and RAG and agent evaluation frameworks. Next, you'll discover how to build automated quality gates with Step Functions, validate deployments using synthetic user workflows, and report on model performance with CloudWatch and Quick Sight. Finally, you'll learn how to troubleshoot common issues, including FM API integration errors, prompt engineering problems, and RAG retrieval quality using CloudWatch GenAI Observability and the Bedrock Agent trace. When you're finished with this course, you'll have the skills and knowledge of generative AI testing, validation, and troubleshooting needed to evaluate and maintain production-grade GenAI applications on AWS.

Homepage

https://app.pluralsight.com/ilx/video-courses/aip-c01-testing-validation-troubleshooting/course-overview

   
   
   

Forex Trading

Crypto Trading. 20 USD Bonus after KYC

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm

0 1 2 3 4 5

| Print version |

	Information
		Users of GUESTS are not allowed to comment this publication.