Building Intelligent Troubleshooting Agents

This course focuses on the design and implementation of intelligent troubleshooting agents. You will learn to create AI-powered agents that can diagnose and resolve issues autonomously. The course covers natural language processing, decision-making algorithms, and best practices in AI agent development.

By the end of this course, you will be able to:

1. Define, describe, and design the architecture of an intelligent troubleshooting agent.

2. Implement natural language processing techniques for user interaction.

3. Develop decision-making algorithms for problem diagnosis and resolution.

4. Optimize and evaluate the performance of AI-based troubleshooting agents.

To be successful in this course, you should have intermediate programming knowledge of Python, plus experience with AI & ML infrastructure and core algorithms and techniques, including approaches using pretrained large-language models (LLMs). Familiarity with statistics is also recommended.