EC-CouncilIntermediate · 3h 41m

Troubleshooting Issues with Generative AI

What this course answers

A 3h 41m course that teaches tech support professionals to troubleshoot with large language models such as GPT, Gemini and Claude. It compares model capabilities, builds simple RAG applications with vector databases, generates code and commands for support work, and applies LLMs to Windows and Linux troubleshooting.

For: Tech support professionals, system administrators, application and network support engineers, and cybersecurity specialists.
Time: 3h 41m

Last verified
25 Sep 2026

What you will be able to do

Explore generative AI concepts and compare model capabilities
Build simple RAG applications with vector databases
Apply LLMs to improve system and data preparedness
Generate code and commands for support activities
Troubleshoot Windows and Linux systems with LLMs

Curriculum

01Introduction to Generative AI and LLMs

Lesson list to be added.
02Choice of LLMs and Other Multi-modal Models

Lesson list to be added.
03LLM-RAG Applications and Vector Databases

Lesson list to be added.
04Crafting Effective Prompts

Lesson list to be added.
05System and Data Preparedness

Lesson list to be added.
06Code Generation with LLMs

Lesson list to be added.
07Windows Troubleshooting with LLMs

Lesson list to be added.
08Linux Troubleshooting with LLMs

Lesson list to be added.

Troubleshooting Issues with Generative AI

What you will be able to do

Curriculum

Prerequisites

Frequently asked questions

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Keep going

Gen AI - LLM RAG Two in One - LangChain + LlamaIndex

Introduction to Retrieval Augmented Generation (RAG)