Root Cause Analysis (RCA) With GenAI

2 courses
1 hours

The "Root Cause Analysis (RCA) With GenAI" learning path aims to equip Site Reliability Engineers (SREs) and cloud engineers with the ability to leverage Generative AI and Large Language Models (LLMs) for efficient incident log analysis, root cause identification, and report generation, thereby enhancing incident management and system reliability.

Courses in this path

Getting Started

This path is designed for beginner cloud engineers and IT professionals seeking to understand the foundational concepts and strategic applications of Generative AI and Large Language Models (LLMs) in enhancing cloud operations.

Introduction to GenAI and LLMs in Cloud Operations

by Mike Boorman
31m 41s

Understanding Cloud Incident Logs

by Mike Boorman
22m 37s

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Leveraging LLMs for Incident Analysis: Learners will understand how to employ Large Language Models to efficiently ingest and analyze incident logs, transforming large volumes of unstructured data into actionable insights.
Automating Root Cause Analysis: The path will enable learners to automate the root cause analysis process using GenAI, improving accuracy and reducing the time spent on manual investigation.
Generating Effective RCA Summaries: Participants will gain the skills to create clear and concise RCA summaries using GenAI tools, enhancing communication and decision-making during incident management.

Experience

The prerequisites for the "Root Cause Analysis (RCA) With GenAI" learning path include a basic understanding of cloud computing and infrastructure, particularly platforms like AWS, Azure, or Google Cloud. Learners should also have foundational knowledge of incident management principles, as well as introductory familiarity with AI and machine learning concepts, including Large Language Models. Basic programming skills in languages like Python will be beneficial for engaging with hands-on labs and implementing AI solutions effectively.

Learn with the best

Mike Boorman

Mike has always loved technology and education. When the two can come together he is in his happy place. He has served as a systems engineer, site reliability engineer, and a cloud solutions architect in both the private and public sectors. With a passion to learn "all the things," Mike has earned several technology related certifications as well as degrees in the humanities because he believes each area helps him have a better understanding of the other. When not learning in front of a computer... more