Introduction to Amazon CodeGuru

By Errol Hooper

Explore CodeGuru and gain hands-on learning on implementing this service in real world scenarios to optimize your code and applications.

2 hours
  • 18 Lessons
  • 2 Hands-On Labs

About the course

Hello Cloud Gurus,

Amazon CodeGuru is AWS’s machine learning tool which conducts code reviews to improve code quality. CodeGuru consists of two main components: Reviewer and Profiler. CodeGuru Reviewer finds bugs within our code and makes inline recommendations in our pull requests. CodeGuru Profiler shows us where our code is contributing to CPU over-utilization within our resources.

Join us on this journey as we explore CodeGuru and gain hands on learning on how we can implement this service in our real world scenarios to optimize our code and applications alike.

In this course, you’ll learn:

  • The key concepts of how CodeGuru works and its fundamentals including Reviewer, Profiler, recommendations, and more.
  • Quick steps to integrating your existing code base with CodeGuru.
  • The simple steps to automate your code reviews via pull request and conduct on-demand repository analysis.
  • The techniques to understanding CodeGuru’s visualization.
  • The process of integrating CodeGuru with existing applications through profiling groups.
  • Chapter 1 2 Lessons Introducing the Course 3:06

    Course Introduction


    About the Training Architect

  • Chapter 2 4 Lessons Understanding the Essentials of Amazon CodeGuru 15:19

    Section Introduction


    Exploring Amazon CodeGuru


    Amazon CodeGuru Use Cases


    Section Review

  • Chapter 3 5 Lessons Diving Deeper into CodeGuru Reviewer 45:57

    Section Introduction


    Diving into CodeGuru Reviewer


    Strengthening Our Code Reviews with CodeGuru


    Reviewing Your Code Base with Amazon CodeGuru

    30:00 Hands-On Lab

    Section Review

  • Chapter 4 5 Lessons Diving Deeper into CodeGuru Profiler 41:44

    Section Introduction


    Diving into CodeGuru Profiler


    Profiling Applications in CodeGuru Profiler


    Optimizing Your Application Through Amazon CodeGuru’s Profiler

    30:00 Hands-On Lab

    Section Review

  • Chapter 5 2 Lessons Conclusion 5:22

    Reviewing Amazon CodeGuru


    Conclusion and What’s Next


What are Hands-on Labs

What's the difference between theoretical knowledge and real skills? Practical real-world experience. That's where Hands-on Labs come in! Hands-on Labs are guided, interactive experiences that help you learn and practice real-world scenarios in real cloud environments. Hands-on Labs are seamlessly integrated in courses, so you can learn by doing.

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Psst…this one if you’ve been moved to ACG!