Monitoring and Troubleshooting Generative AI Applications on AWS

Posted 1 day 21 hours ago by Amazon Web Services (AWS)

Study Method : Online
Duration : 1 weeks
Subject : IT & Computer Science
Overview
Learn how to monitor and troubleshoot generative AI applications on AWS for reliability, performance, and cost control.
Course Description

Master monitoring and troubleshooting for generative AI on AWS

This course provides practical guidance on monitoring and troubleshooting generative AI applications on AWS. Developed by members of the AWS Technical Field Communities (TFC), it complements the standard AWS training curriculum by focusing on real-world operational needs.

You’ll explore key monitoring requirements for generative AI workloads, learn what metrics, logs, and signals matter most, and understand how to use them to identify and resolve common issues. You’ll be better equipped to maintain reliability, performance, and operational efficiency for generative AI applications running on AWS.

You’ll access learning content and practical activities online through Amazon Web Services (AWS), alongside your FutureLearn course experience, giving you direct access to AWS learning as you progress.

This course is ideal for cloud engineers, solutions architects, machine learning engineers, and DevOps professionals who build or operate generative AI applications on AWS.

Requirements

This course is ideal for cloud engineers, solutions architects, machine learning engineers, and DevOps professionals who build or operate generative AI applications on AWS.

Career Path
  • Learn about AWS monitoring tools for Generative AI applications
  • Review troubleshooting practices using observability tools