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Monitoring and Troubleshooting Generative AI Applications on AWS

Learn how to monitor and troubleshoot generative AI applications on AWS for reliability, performance, and cost control.

  • Duration

    1 week
  • Weekly study

    5 hours
  • 100% online

    How it works
  • Digital upgrade

    Free

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.

Syllabus

  • Week 1

    Monitoring and Troubleshooting Generative AI Applications on AWS

    • Monitoring and Troubleshooting Generative AI Applications on AWS

      In this activity, you will learn to monitor, evaluate, and troubleshoot generative AI applications on AWS using Amazon CloudWatch, CloudTrail, X-Ray, and SageMaker tools to ensure performance, security, and compliance.

When would you like to start?

Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.

  • Available now

Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to...

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

Who is the course for?

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

Who developed the course?

Amazon Web Services (AWS)

AWS is the world’s most comprehensive cloud, enabling organizations to accelerate innovation, reduce costs, and scale more efficiently.

What's included?

Amazon Web Services (AWS) are offering everyone who joins this course a free digital upgrade, so that you can experience the full benefits of studying online for free. This means that you get:

  • Unlimited access to this course
  • Includes any articles, videos, peer reviews and quizzes
  • A PDF Certificate of Achievement to prove your success when you’re eligible
  • Learning on FutureLearn

    Your learning, your rules

    • Courses are split into weeks, activities, and steps to help you keep track of your learning
    • Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
    • Stay motivated by using the Progress page to keep track of your step completion and assessment scores

    Join a global classroom

    • Experience the power of social learning, and get inspired by an international network of learners
    • Share ideas with your peers and course educators on every step of the course
    • Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others

    Map your progress

    • As you work through the course, use notifications and the Progress page to guide your learning
    • Whenever you’re ready, mark each step as complete, you’re in control
    • Complete 90% of course steps and all of the assessments to earn your certificate

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