LLM Finetuning : RunPod and Multi-GPU Practice

Name: LLM Finetuning : RunPod and Multi-GPU Practice
Price: 60500 KRW
Rating: 4.8 (6 reviews)

Packed with LLM Fine-Tuning Know-how, learned from Silicon Valley LLM Project Practitioners.

(4.8) 6 reviews

45 learners

Level Basic

Course period Unlimited

danielyouk

LLM

RunPod

openAI API

GPU

Parallel Processing

LLM

RunPod

openAI API

GPU

Parallel Processing

What you will gain after the course

LLM Fine Tuning
Multi GPUs
OpenAI API
Ollama
Hugging Face

Leveraging the OpenAI API: Building the Dataset Required for Model Training

By leveraging the OpenAI API, you can overcome data shortage issues and efficiently secure high-quality data needed for model training.

 from openai import OpenAI
client = OpenAI()

completion = client.chat.completions.create(
    model= "gpt-4o" ,
    messages=[
        { "role" : "developer" , "content" : "You are a helpful assistant." },
        {
            "role" : "user" ,
            "content" : "Translate the following English text into a Shakespearean style."
        }
    ]
)

print (completion.choices[ 0 ].message)

Recommended for
these people

Who is this course right for?

Developer wanting to build their own Chat model
Everyone who wants to learn Multi GPU model training

Need to know before starting?

(Optional) Problem-solving ability via Chatgpt search

Hello
This is danielyouk

660

Learners

Reviews

Answers

4.9

Rating

Courses

Working as a Pod Lead at an LLM-based AI company
Seoul National University Graduated from the Department of Mechanical and Aerospace Engineering
Master's degree in Mechanical and Aerospace Engineering from a graduate school in Europe
Conducting doctoral research at an engineering research institute in Germany
Senior Data Scientist experience at a major European energy company
Active as a Senior Consultant at a UK-based energy consulting firm
Performed Databricks-based data engineering projects
Achieved Top 3% in Kaggle Stock Trading AI Competition
Currently serving as the AI Agent Development Team Lead

Curriculum

All

20 lectures ∙ (3hr 26min)

Course Materials:

Lecture resources

Section 1. Course Goals and Materials

2 lectures ∙ (7min)

Section 2. Multi GPU RunPod Setting

7 lectures ∙ (1hr 6min)

3. Multi GPUs RunPod Fine-Tuning Introduction
04:58
4. Pod Connection Using SSH
14:15
5. Limitations and Alternatives of RunPod: Limitations
09:01
6. RunPod's Limitations and Alternatives: Alternatives
04:58
7. Creating a Network Volume in RunPod
05:43
8. Creating a cluster in RunPod
14:21
9. Reset Config File on RunPod Reconnection
13:25

Section 3. Dataset creation for Shakespeare translation model

5 lectures ∙ (46min)

10. Fine Tuning Process: An Overview
07:16
11. Generating a Korean Dataset Using the Openai API
19:21
12. Ollama Introduction
05:03
13. Generating English Dataset Using Ollama
10:25
14. Generating Shakespearean-style English Data Set using OpenAI API
04:01

Section 4. Hands On LLM Fine-Tuning

6 lectures ∙ (1hr 26min)

Published: 03/11/2025

Last updated: 05/13/2025

Reviews

All

6 reviews

4.8

6 reviews

kaciaryu9603
Reviews 3
∙
Average Rating 5.0
06/21/2025
5
65% enrolled
handover
Reviews 2
∙
Average Rating 4.5
04/28/2025
4
100% enrolled
julee7571
Reviews 2
∙
Average Rating 5.0
12/05/2025
5
100% enrolled
amybae04148768
Reviews 3
∙
Average Rating 5.0
08/06/2025
5
30% enrolled
brand8301114405
Reviews 9
∙
Average Rating 5.0
07/27/2025
5
30% enrolled

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LLM Finetuning : RunPod and Multi-GPU Practice

What you will gain after the course

The Core of AI Customization
Fine Tuning & Multi-GPU

Increasing the efficiency of AI development
GPU solution, RunPod !

Learn about these things

Multi-GPU Fine-Tuning: Creating the Optimal LLM Training Environment

Building Your Own LLM: Customizing AI Models with Fine-Tuning

Leveraging the OpenAI API: Building the Dataset Required for Model Training

AI Development Hands-on: Fine-Tuning Your LLM with the Latest Technology Stack

Things to note before taking the course

Practice environment

Learning Materials

Player Knowledge and Precautions

Recommended for
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Hello
This is danielyouk

Curriculum

Reviews

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LLM Finetuning : RunPod and Multi-GPU Practice

What you will gain after the course

The Core of AI Customization Fine Tuning & Multi-GPU

Increasing the efficiency of AI development GPU solution, RunPod !

Learn about these things

Multi-GPU Fine-Tuning: Creating the Optimal LLM Training Environment

Building Your Own LLM: Customizing AI Models with Fine-Tuning

Leveraging the OpenAI API: Building the Dataset Required for Model Training

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Practice environment

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The Core of AI Customization
Fine Tuning & Multi-GPU

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Hello
This is danielyouk