Understanding the Fundamental Principles of Large Language Models (LLMs)
arigaram
$77.00
Intermediate / NLP, gpt, AI, ChatGPT, LLM
3.5
(2)
Explains the basic principles of large language models like ChatGPT, focusing on theory.
Intermediate
NLP, gpt, AI
Understanding the Fundamental Principles of Large Language Models (LLMs)
arigaram
$77.00
Intermediate / NLP, gpt, AI, ChatGPT, LLM
3.5
(2)
Complete mastery of deep learning theory + PyTorch practice
peterbyun969574
$220.00
Basic / Deep Learning(DL), PyTorch, Computer Vision(CV), NLP, transformer, CNN, RNN, LLM
4.9
(58)
This course teaches the “core concepts” of deep learning required to work in the deep learning field and the practical skills required to perform actual deep learning projects through hands-on training using PyTorch.
Basic
Deep Learning(DL), PyTorch, Computer Vision(CV)
Complete mastery of deep learning theory + PyTorch practice
peterbyun969574
$220.00
Basic / Deep Learning(DL), PyTorch, Computer Vision(CV), NLP, transformer, CNN, RNN, LLM
4.9
(58)
<From Scratch: Building and Learning LLMs> Commentary Lecture
haesunpark
$77.00
Basic / PyTorch, gpt-2, transformer, LLM, Fine-Tuning
5.0
(15)
This is a course covering the GitHub notebooks and bonus content from <Build a Large Language Model from Scratch> (Gilbut, 2025). GitHub: https://github.com/rickiepark/llm-from-scratch/ <Build a Large Language Model from Scratch> is the Korean translation of the bestseller <Build a Large Language Model (from Scratch)> (Manning, 2024) by Sebastian Raschka. This book provides a way to learn and utilize the operating principles of large language models by building a complete model starting from scratch with OpenAI's GPT-2 model.
Basic
PyTorch, gpt-2, transformer
<From Scratch: Building and Learning LLMs> Commentary Lecture
haesunpark
$77.00
Basic / PyTorch, gpt-2, transformer, LLM, Fine-Tuning
5.0
(15)
First Time Creating Custom LLMs – LoRA & QLoRA Fine-tuning Introduction
HappyAI
$17.60
Beginner / Deep Learning(DL), NLP, AI, LLM, Fine-Tuning
4.8
(24)
"LoRA-based lightweight fine-tuning: Your first step to creating a customized LLM!" This course is an introductory hands-on lecture designed so that even those encountering LLMs for the first time can easily follow along. We minimize complex theory and guide you step-by-step through the entire process: loading models → applying data → training → comparing results. In a short time, you'll directly experience the flow of cutting-edge lightweight fine-tuning techniques like LoRA and QLoRA, gaining an intuitive understanding of "how LLM fine-tuning works." Even without extensive resources, experience the satisfaction of creating an LLM specialized for your domain!
Beginner
Deep Learning(DL), NLP, AI
First Time Creating Custom LLMs – LoRA & QLoRA Fine-tuning Introduction
HappyAI
$17.60
Beginner / Deep Learning(DL), NLP, AI, LLM, Fine-Tuning
4.8
(24)
Large Language Models, Just the Essentials!
haesunpark
$34.10
Beginner / Artificial Neural Network, PyTorch, LLM, Fine-Tuning, RNN
4.6
(7)
This is a lecture covering LLM theory and practical examples based on <Large Language Models, Just the Essentials!> (Insight, 2025).
Beginner
Artificial Neural Network, PyTorch, LLM
Large Language Models, Just the Essentials!
haesunpark
$34.10
Beginner / Artificial Neural Network, PyTorch, LLM, Fine-Tuning, RNN
4.6
(7)
LLM Finetuning : RunPod and Multi-GPU Practice
danielyouk
$47.30
Basic / LLM, RunPod, openAI API, GPU, Parallel Processing, Docker, Fine-Tuning
4.8
(6)
Packed with LLM Fine-Tuning Know-how, learned from Silicon Valley LLM Project Practitioners.
Basic
LLM, RunPod, openAI API
LLM Finetuning : RunPod and Multi-GPU Practice
danielyouk
$47.30
Basic / LLM, RunPod, openAI API, GPU, Parallel Processing, Docker, Fine-Tuning
4.8
(6)
How Far Have We Come with Generative Model Tuning? - Langcon 2024
Young Sook Song
Free
Intermediate / LLM, openAI API
5.0
(2)
NLP Conference <Langcon 2024> Presentation Session Video
Intermediate
LLM, openAI API
How Far Have We Come with Generative Model Tuning? - Langcon 2024
Young Sook Song
Free
Intermediate / LLM, openAI API
5.0
(2)
![[Beginner/Introductory] Implementing Recommendation Systems through Various ExamplesCourse Thumbnail](https://cdn.inflearn.com/public/files/courses/337887/cover/01jyvdpxdgj736bzm3ek4mnk59?f=avif&w=420)
[Beginner/Introductory] Implementing Recommendation Systems through Various Examples
goodwon5937125
$29.70
Basic / Machine Learning(ML), Deep Learning(DL), PyTorch, AI, LLM
4.5
(4)
🧩 Rather than focusing on complex formulas or theory-centric explanations, the goal is to learn the core concepts of recommendation systems by directly implementing programs. 🛠️ Through a total of 12 diverse and practical examples, we have progressively designed recommendation systems that can be utilized in real-world environments, including content-based recommendation, collaborative filtering, and deep learning recommendation.
Basic
Machine Learning(ML), Deep Learning(DL), PyTorch
[Beginner/Introductory] Implementing Recommendation Systems through Various Examples
goodwon5937125
$29.70
Basic / Machine Learning(ML), Deep Learning(DL), PyTorch, AI, LLM
4.5
(4)
90-Minute Complete Guide: From LLM Agent Basics to Practice – Learning AI Agents Through Hands-on Experience
HappyAI
$17.60
Basic / multi-agent, LLM, LangChain, AI Agent, LangGraph
The era of AI simply providing answers is over. Now is the age of LLM Agents that make decisions and take actions on their own. This course is an introductory lecture where you learn the core principles and structure of agents by implementing them directly through just 90 minutes of hands-on practice. We minimize complex theory and focus on code-centered practical flow, allowing you to directly experience "how AI makes decisions and uses tools." Beyond prompt engineering, let's take the first step into AI automation together.
Basic
multi-agent, LLM, LangChain
90-Minute Complete Guide: From LLM Agent Basics to Practice – Learning AI Agents Through Hands-on Experience
HappyAI
$17.60
Basic / multi-agent, LLM, LangChain, AI Agent, LangGraph
Creating Custom LLMs: From Basic RAG Concepts to Multimodal·Agent Practice for Beginners
HappyAI
$17.60
Beginner / Python, vector-database, LLM, LangChain, RAG
4.9
(11)
RAG (Retrieval-Augmented Generation) from theory to the latest multimodal and agent-based RAG! This is a hands-on lecture designed to be understandable even for non-majors. From paper reviews to practical code implementation, it's designed so that even those encountering RAG for the first time can easily follow along.
Beginner
Python, vector-database, LLM
Creating Custom LLMs: From Basic RAG Concepts to Multimodal·Agent Practice for Beginners
HappyAI
$17.60
Beginner / Python, vector-database, LLM, LangChain, RAG
4.9
(11)
AI Agent with LangGraph version 1 From Basics to Advanced
goodwon5937125
$38.50
Early Bird
48%
$19.80
Basic / AI, ChatGPT, LLM, Generative AI, AI Agent
This course covers the entire process of evolving ChatGPT from a simple conversational AI to an intelligent AI Agent that performs actual work tasks. Using three core frameworks - LangChain, LangGraph, and LangSmith - you'll directly create AI Agents that can be immediately used in real-world applications.
Basic
AI, ChatGPT, LLM
AI Agent with LangGraph version 1 From Basics to Advanced
goodwon5937125
$38.50
Early Bird
48%
$19.80
Basic / AI, ChatGPT, LLM, Generative AI, AI Agent
