Introduction to GenAI and LLMs in Cloud Operations

Overview

Root Cause Analysis is a fundamental component of any incident management process within system operations. In this course, Introduction to GenAI and LLMs in Cloud Operations, you’ll learn why using GenAI and LLMs to perform root cause analysis can be a force multiplier in your cloud operations.

First, you’ll explore what Generative AI and Large Language Models are. Next, you’ll discover some applications of LLMs in the area of incident management.

Finally, you’ll learn how to determine when LLMs are useful for cloud operations incidents. When you’re finished with this course, you’ll have the skills and knowledge to begin using Generative AI and Large Language Models to enhance your cloud operations.

Syllabus

• Introduction to Generative AI and Large Language Models
Overview of Generative AI
Basics of Large Language Models (LLMs)
Key differences between traditional AI and GenAI
• Understanding Cloud Operations and Incident Management
What are Cloud Operations?
Introduction to Incident Management
Importance of Root Cause Analysis in Incident Management
• Applications of Generative AI in Cloud Operations
Enhancing Root Cause Analysis with GenAI
Automation in Incident Detection and Response
Predictive Maintenance and Anomaly Detection
• Leveraging Large Language Models for Incident Management
How LLMs can assist in Root Cause Analysis
Case Studies: Successful Applications of LLMs in Cloud Operations
Limitations and Challenges of LLM Implementation
• Evaluating the Usefulness of LLMs in Cloud Incidents
Criteria for LLM Effectiveness in Cloud Operations
Decision-making: When to Use LLMs
Best Practices for Integrating LLMs into Incident Management
• Practical Skills and Tools
Hands-on Lab: Using GenAI Tools for Root Cause Analysis
Selecting the Right LLM for Your Needs
Implementation Strategies in Cloud Environments
• Conclusion and Future Directions
Recap of Key Learnings
Emerging Trends in GenAI and LLMs
Q&A Session and Course Feedback

Taught by

Mike Boorman

Subjects

Computer Science