A Complete Guide to Deep Learning CNN - TensorFlow Keras Version
dooleyz3525
₩85
초급 / Deep Learning(DL), CNN, Tensorflow, Keras, Kaggle, Machine Learning(ML)
4.9
(119)
From core theories of Deep Learning and CNN to implementation methods of various CNN models, and practical Deep Learning development know-how through real-world problems, If you want to become a Deep Learning CNN technology expert, join us in this lecture :)
초급
Deep Learning(DL), CNN, Tensorflow
A Complete Guide to Deep Learning CNN - TensorFlow Keras Version
dooleyz3525
₩85
초급 / Deep Learning(DL), CNN, Tensorflow, Keras, Kaggle, Machine Learning(ML)
4.9
(119)
![[Revised Edition] The Complete Guide to Python Machine Learning강의 썸네일](https://cdn.inflearn.com/public/courses/324238/cover/7e380aa0-48ba-4ee7-a6b2-8da7900568d6/324238-eng.png?f=avif&w=420)
[Revised Edition] The Complete Guide to Python Machine Learning
dooleyz3525
₩77
초급 / Python, Machine Learning(ML), Statistics
4.9
(472)
We will help you easily understand the core concepts of machine learning and acquire the ability to implement practical machine learning applications by moving away from theory-based machine learning courses.
초급
Python, Machine Learning(ML), Statistics
[Revised Edition] The Complete Guide to Python Machine Learning
dooleyz3525
₩77
초급 / Python, Machine Learning(ML), Statistics
4.9
(472)
Spark Machine Learning Complete Guide - Part 1
dooleyz3525
₩77
중급이상 / Apache Spark, Machine Learning(ML), Big Data, Data Engineering
4.9
(29)
If you want to be recognized as a machine learning expert in large-scale data environments—from understanding the core framework of Spark Machine Learning to SQL-based data processing through high-difficulty practical problems, and the ability to implement optimized machine learning models through business domain analysis—join this course.
중급이상
Apache Spark, Machine Learning(ML), Big Data
Spark Machine Learning Complete Guide - Part 1
dooleyz3525
₩77
중급이상 / Apache Spark, Machine Learning(ML), Big Data, Data Engineering
4.9
(29)
Introduction to Machine Learning/Deep Learning and Python Introductory Course for Learning
YoungJea Oh
₩9
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib
4.8
(40)
You can acquire an overview of machine learning and deep learning, how to use basic tools, and the Python language knowledge necessary for learning in a short period of time.
입문
Machine Learning(ML), Deep Learning(DL), Python
Introduction to Machine Learning/Deep Learning and Python Introductory Course for Learning
YoungJea Oh
₩9
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib
4.8
(40)
Kaggle Advanced Machine Learning Practical Crash Course
dooleyz3525
₩52
중급이상 / Machine Learning(ML), Kaggle
4.9
(76)
This course is designed to upgrade your skills as a practical machine learning development expert by implementing the machine learning model of the Home Credit Default Risk competition on Kaggle.
중급이상
Machine Learning(ML), Kaggle
Kaggle Advanced Machine Learning Practical Crash Course
dooleyz3525
₩52
중급이상 / Machine Learning(ML), Kaggle
4.9
(76)
![[Revised Edition] Deep Learning Computer Vision: The Complete Guide강의 썸네일](https://cdn.inflearn.com/public/courses/325035/cover/f4bbef4d-d9a9-4def-a3a5-738a9eed8245/325035-eng.jpg?f=avif&w=420)
[Revised Edition] Deep Learning Computer Vision: The Complete Guide
dooleyz3525
₩94
중급이상 / Python, Machine Learning(ML), Deep Learning(DL), Computer Vision(CV)
4.9
(165)
This course will help you grow into a deep learning-based computer vision expert needed in the field through in-depth theoretical explanations of Object Detection and Segmentation, along with practical examples at a level that can be immediately applied in the industry.
중급이상
Python, Machine Learning(ML), Deep Learning(DL)
[Revised Edition] Deep Learning Computer Vision: The Complete Guide
dooleyz3525
₩94
중급이상 / Python, Machine Learning(ML), Deep Learning(DL), Computer Vision(CV)
4.9
(165)
RAG System Implemented with AI Agents (w. LangGraph)
pdstudio
₩77
초급 / AI Agent, LangGraph, RAG, LLM, LangChain
4.8
(145)
Building a Retrieval-Augmented Generation (RAG) Intelligent AI Agent with LangGraph! From theory to practice, this is a hands-on tutorial that even beginners can easily follow.
초급
AI Agent, LangGraph, RAG
RAG System Implemented with AI Agents (w. LangGraph)
pdstudio
₩77
초급 / AI Agent, LangGraph, RAG, LLM, LangChain
4.8
(145)
RAG Master: From Basics to Advanced Techniques (feat. LangChain)
pdstudio
₩94
초급 / RAG, LangChain, LLM, Chatbot, Python
4.9
(78)
This lecture covers RAG (Retrieval-Augmented Generation) system fundamentals and implementation using LangChain. Participants will understand RAG's core principles and learn to build and evaluate systems using LangChain.
초급
RAG, LangChain, LLM
RAG Master: From Basics to Advanced Techniques (feat. LangChain)
pdstudio
₩94
초급 / RAG, LangChain, LLM, Chatbot, Python
4.9
(78)
LLM Data Analytics - From Web Crawling to Recommendation Systems
pdstudio
₩52
초급 / LLM, LangChain, Web Crawling, Web Scraping, Recommendation System, Selenium
4.7
(23)
This course is designed for beginners and consists of easy explanations and various hands-on projects. It covers data collection using web crawling and LangChain tools, and summarization, extraction, sentiment analysis, and recommendation systems using LLM.
초급
LLM, LangChain, Web Crawling
LLM Data Analytics - From Web Crawling to Recommendation Systems
pdstudio
₩52
초급 / LLM, LangChain, Web Crawling, Web Scraping, Recommendation System, Selenium
4.7
(23)
Understanding the latest big data and artificial intelligence trends
YoungJea Oh
₩18
내일까지
25%
₩13
입문 / Big Data, AI
4.7
(28)
Find your way through the sea of data and explore the future of artificial intelligence. This course explores the two massive technological trends of Big Data and Artificial Intelligence (AI), examining how they are bringing innovation to our lives and work.
입문
Big Data, AI
Understanding the latest big data and artificial intelligence trends
YoungJea Oh
₩18
내일까지
25%
₩13
입문 / Big Data, AI
4.7
(28)
![[Pytorch] Building Deep Learning Models Using PyTorch강의 썸네일](https://cdn.inflearn.com/public/courses/329226/cover/056ed444-5b26-40fc-b4d6-8e03b2f23890/DL_pytorch.jpg?f=avif&w=420)
[Pytorch] Building Deep Learning Models Using PyTorch
YoungJea Oh
₩43
초급 / Deep Learning(DL), Artificial Neural Network, PyTorch, Anaconda, CNN
5.0
(11)
Learn how to build deep learning models yourself using intuitive and Pythonic PyTorch. This reflects the latest PyTorch version.
초급
Deep Learning(DL), Artificial Neural Network, PyTorch
[Pytorch] Building Deep Learning Models Using PyTorch
YoungJea Oh
₩43
초급 / Deep Learning(DL), Artificial Neural Network, PyTorch, Anaconda, CNN
5.0
(11)
Introduction to Machine Learning and Deep Learning Using Python
YoungJea Oh
₩52
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib, Anaconda, Tensorflow, Keras, CNN
4.9
(66)
Do you want to take your first step into the world of data? Learn machine learning and deep learning, the core technologies of AI, with Python. This course will guide you step by step, from the basics of machine learning and deep learning to practical applications. Traditional machine learning and deep learning are based on many of the same principles and technical systems. Therefore, this course does not separate the two into separate subjects, but rather organizes them into one connected course so that beginners can increase their understanding of machine learning as a whole.
입문
Machine Learning(ML), Deep Learning(DL), Python
Introduction to Machine Learning and Deep Learning Using Python
YoungJea Oh
₩52
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib, Anaconda, Tensorflow, Keras, CNN
4.9
(66)
Data Science(DS) and AI Learning & Career Guide for Non-Majors/Beginners
AISchool
₩23
입문 / Deep Learning(DL), Machine Learning(ML)
5.0
(40)
Data Science(DS) & Artificial Intelligence(AI) job role analysis, plus a learning & employment roadmap for building a career in these roles.
입문
Deep Learning(DL), Machine Learning(ML)
Data Science(DS) and AI Learning & Career Guide for Non-Majors/Beginners
AISchool
₩23
입문 / Deep Learning(DL), Machine Learning(ML)
5.0
(40)
TensorFlow Object Detection API Guide Part 1 - Detecting Objects with 10 Lines of Code
AISchool
₩26
초급 / Tensorflow, Deep Learning(DL), CNN
4.8
(33)
This course teaches you how to perform Object Detection using the latest high-performance deep learning model using the TensorFlow Object Detection API through simple Colab exercises, and learns the principles of the latest deep learning Object Detection models.
초급
Tensorflow, Deep Learning(DL), CNN
TensorFlow Object Detection API Guide Part 1 - Detecting Objects with 10 Lines of Code
AISchool
₩26
초급 / Tensorflow, Deep Learning(DL), CNN
4.8
(33)
Time series data processing using Python and deep learning
YoungJea Oh
₩39
내일까지
20%
₩31
중급이상 / AI, python3, Deep Learning(DL), Financial Engineering, Algorithm, Investment
4.8
(17)
Time is constantly flowing, and data is constantly accumulating. In this dynamic world, time series data plays a vital role in every aspect of our lives. From the volatility of financial markets to subtle signals of climate change, time series data captures it all. Now learn how to interpret and leverage this powerful data using the power of Python and deep learning!
중급이상
AI, python3, Deep Learning(DL)
Time series data processing using Python and deep learning
YoungJea Oh
₩39
내일까지
20%
₩31
중급이상 / AI, python3, Deep Learning(DL), Financial Engineering, Algorithm, Investment
4.8
(17)
Learn Python Chatbot & RAG through Projects - Using LangChain, Gradio
pdstudio
₩41
초급 / RAG, LangChain, LLM, ChatGPT, Chatbot, openAI API, gradio
4.8
(44)
Create your own AI chatbot using Python's basic syntax and libraries. Learn through a step-by-step process of completing 5 projects, including PDF document-based RAG, and deploy them as web services.
초급
RAG, LangChain, LLM
Learn Python Chatbot & RAG through Projects - Using LangChain, Gradio
pdstudio
₩41
초급 / RAG, LangChain, LLM, ChatGPT, Chatbot, openAI API, gradio
4.8
(44)
The First Step into AI Without Math: From Basics to the Latest Trends
jihoonkim
₩59
입문 / Machine Learning(ML), Deep Learning(DL)
4.8
(134)
This lecture is designed to give you a general understanding of AI without overwhelming you with difficult topics like mathematical formulas. It's perfect for learning with a light and easy mindset.
입문
Machine Learning(ML), Deep Learning(DL)
The First Step into AI Without Math: From Basics to the Latest Trends
jihoonkim
₩59
입문 / Machine Learning(ML), Deep Learning(DL)
4.8
(134)
LLM Application Service Case Analysis (For Product Managers)
arigaram
₩26
입문 / NLP, Service Planning, Content Planning, LLM
5.0
(1)
[Scheduled for completion of the 2nd edition in 2026] We will explore the types of applications and web services that can be built using LLMs.
입문
NLP, Service Planning, Content Planning
LLM Application Service Case Analysis (For Product Managers)
arigaram
₩26
입문 / NLP, Service Planning, Content Planning, LLM
5.0
(1)
(For Product Managers) Fundamentals of LLM and Understanding LLM-based Service Planning
arigaram
₩254
입문 / NLP, gpt, AI, ChatGPT, LLM
4.0
(9)
[Scheduled for completion of the 2nd edition in 2026] Explains why LLM is necessary, the technical background, and basic concepts for LLM planners and LLM application planning managers.
입문
NLP, gpt, AI
(For Product Managers) Fundamentals of LLM and Understanding LLM-based Service Planning
arigaram
₩254
입문 / NLP, gpt, AI, ChatGPT, LLM
4.0
(9)
Large-Scale Language Models for Everyone LLM Part 3 - Building AI Applications with Google Gemini API, OpenAI API, and Gemma
AISchool
₩43
중급이상 / openAI API, ChatGPT, gemini, Gemma, multimodal, LLM, Deep Learning(DL), streamlit
4.8
(10)
This course will teach you the concept of the Google Gemini model and how to use the Gemini API, and create various AI applications using Streamlit.
중급이상
openAI API, ChatGPT, gemini
Large-Scale Language Models for Everyone LLM Part 3 - Building AI Applications with Google Gemini API, OpenAI API, and Gemma
AISchool
₩43
중급이상 / openAI API, ChatGPT, gemini, Gemma, multimodal, LLM, Deep Learning(DL), streamlit
4.8
(10)
Machine Learning with JavaScript and Tensorflow.js
YoungJea Oh
₩43
내일까지
23%
₩33
초급 / Machine Learning(ML), Deep Learning(DL), JavaScript, tensorflow-js
5.0
(3)
JavaScript, which is known to all web developers, now explore the world of machine learning with this powerful language! This course learns how to build and deploy machine learning models using JavaScript and the powerful machine learning library Tensorflow.js. It guides you step-by-step through all the technologies required to develop web-based machine learning applications. Through this course, learners will systematically understand the core principles of machine learning. In addition, you will learn how to develop deep learning models using JavaScript and Tensorflow.js APIs, how to utilize transfer learning based on pre-trained models, and how to apply all this knowledge interactively in a browser environment.
초급
Machine Learning(ML), Deep Learning(DL), JavaScript
Machine Learning with JavaScript and Tensorflow.js
YoungJea Oh
₩43
내일까지
23%
₩33
초급 / Machine Learning(ML), Deep Learning(DL), JavaScript, tensorflow-js
5.0
(3)
From Introduction to Reinforcement Learning to Deep Q-learning/Policy Gradient
YoungJea Oh
₩43
중급이상 / Python, Deep Learning(DL), Reinforcement Learning(RL), PyTorch
4.7
(34)
Recently, all the remarkable achievements in the field of artificial intelligence are being announced in the area of reinforcement learning. This covers reinforcement learning technology—which is bringing about true innovation in AI such as robotics, autonomous driving, and humanoid machines—from basic to advanced levels in an easy-to-understand way for beginners.
중급이상
Python, Deep Learning(DL), Reinforcement Learning(RL)
From Introduction to Reinforcement Learning to Deep Q-learning/Policy Gradient
YoungJea Oh
₩43
중급이상 / Python, Deep Learning(DL), Reinforcement Learning(RL), PyTorch
4.7
(34)
Hands-on! Machine Learning/Deep Learning Fraud Detection Master Class
YoungJea Oh
₩43
중급이상 / Machine Learning(ML), Deep Learning(DL)
4.6
(25)
Do you know the theory but feel lost when applying it to real-world data? I will pass on practical techniques to solve complex fraudulent transactions directly with code, incorporating my professional know-how.
중급이상
Machine Learning(ML), Deep Learning(DL)
Hands-on! Machine Learning/Deep Learning Fraud Detection Master Class
YoungJea Oh
₩43
중급이상 / Machine Learning(ML), Deep Learning(DL)
4.6
(25)
Understanding the concept of deep learning leading to practical artificial intelligence
dlbro
₩55
입문 / Deep Learning(DL), Artificial Neural Network, Machine Learning(ML)
4.7
(107)
This course provides essential knowledge needed to understand the structure and operating principles of various artificial neural networks and create good models.
입문
Deep Learning(DL), Artificial Neural Network, Machine Learning(ML)
Understanding the concept of deep learning leading to practical artificial intelligence
dlbro
₩55
입문 / Deep Learning(DL), Artificial Neural Network, Machine Learning(ML)
4.7
(107)
MLflow with Silicon Valley Engineers
altoformula
₩43
입문 / mlflow, Machine Learning(ML), mlops, Deep Learning(DL), AI
4.7
(21)
Are you still managing ML experiments manually? 🤔 Automate everything from experiment tracking to model deployment with MLflow, and dramatically boost your development productivity! An essential skill for data scientists and ML engineers 💡 Start right now! 🚀
입문
mlflow, Machine Learning(ML), mlops
MLflow with Silicon Valley Engineers
altoformula
₩43
입문 / mlflow, Machine Learning(ML), mlops, Deep Learning(DL), AI
4.7
(21)
Large Language Models LLM for Everyone Part 5 - Building Your Own AI Agent with LangGraph
AISchool
₩59
중급이상 / LangGraph, AI Agent, LangChain, RAG, openAI API, LLM
4.9
(34)
AI Agent: A total integration of the latest AI technology! Implement various AI agents and learn to build your own AI agent using LangGraph.
중급이상
LangGraph, AI Agent, LangChain
Large Language Models LLM for Everyone Part 5 - Building Your Own AI Agent with LangGraph
AISchool
₩59
중급이상 / LangGraph, AI Agent, LangChain, RAG, openAI API, LLM
4.9
(34)
Silicon Valley Engineer's Guide to LangChain, LangGraph, and MCP
altoformula
₩52
초급 / LLM, LangChain, prompt engineering, NLP, openai
4.8
(46)
Become a pioneer in the latest large language model (LLM) technology through Langchain online lectures! This course provides practical skills and innovative knowledge that will upgrade your career. #LangChain #LangGraph #LangSmith #MCP
초급
LLM, LangChain, prompt engineering
Silicon Valley Engineer's Guide to LangChain, LangGraph, and MCP
altoformula
₩52
초급 / LLM, LangChain, prompt engineering, NLP, openai
4.8
(46)
Learning Artificial Intelligence and Autonomous Driving with AWS DeepRacer
AI CASTLE
₩54
입문 / DeepRacer, Reinforcement Learning(RL), Autonomous Driving
4.8
(42)
Make your own AI autonomous vehicle! This is a course where you can learn about AI and reinforcement learning in the most fun and fastest way. This course was produced by the developer ranked #1 in DeepRacer Korea.
입문
DeepRacer, Reinforcement Learning(RL), Autonomous Driving
Learning Artificial Intelligence and Autonomous Driving with AWS DeepRacer
AI CASTLE
₩54
입문 / DeepRacer, Reinforcement Learning(RL), Autonomous Driving
4.8
(42)
Silicon Valley Engineer's Guide to OpenAI API (ChatGPT)
altoformula
₩43
초급 / ChatGPT, Python, openai, Midjourney
4.9
(74)
Envision the future with OpenAI API! OpenAI is a leader in the field of artificial intelligence, always providing cutting-edge technology. The GPT-4-based OpenAI API enables human-like conversations, demonstrating remarkable capabilities applicable to various fields.
초급
ChatGPT, Python, openai
Silicon Valley Engineer's Guide to OpenAI API (ChatGPT)
altoformula
₩43
초급 / ChatGPT, Python, openai, Midjourney
4.9
(74)
How to Make Money with AI - AI Transformation Through Case Studies
AISchool
₩26
입문 / Service Planning
4.7
(61)
Through AI company reviews, we examine how AI technology will change our present and future through various cases. By examining the necessary elements for carrying out AI projects, we prepare for the upcoming AI Transformation.
입문
Service Planning
How to Make Money with AI - AI Transformation Through Case Studies
AISchool
₩26
입문 / Service Planning
4.7
(61)
Mathematics for Game Development (PART 1)
eazuooz
₩26
초급 / C++, Linear Algebra, game-math
5.0
(17)
This is a lecture where you can easily learn important mathematical concepts used in games. People who are well-versed in mathematics take this knowledge for granted, so they cannot teach it assuming you know nothing. I explain from a beginner's perspective, truly assuming you are a non-major.
초급
C++, Linear Algebra, game-math
Mathematics for Game Development (PART 1)
eazuooz
₩26
초급 / C++, Linear Algebra, game-math
5.0
(17)
Deep Learning and TensorFlow for Beginners: The Basics Fast
Jay
₩9
초급 / Deep Learning(DL), Tensorflow, Python, colab
4.9
(47)
This is a lecture where you can learn Deep Learning using TensorFlow. Learn linear regression, logistic regression, and softmax regression models, and finally create an MLP model that can classify fashion images!
초급
Deep Learning(DL), Tensorflow, Python
Deep Learning and TensorFlow for Beginners: The Basics Fast
Jay
₩9
초급 / Deep Learning(DL), Tensorflow, Python, colab
4.9
(47)
Everyone's Korean Text Analysis and Natural Language Processing with Python
todaycode
₩59
초급 / NLP, Text Mining, Machine Learning(ML), data-clustering, Big Data, Data literacy, Python
4.9
(27)
Python Korean Text Analysis and Natural Language Processing: Word Cloud Visualization, Morphological Analysis, Topic Modeling, Clustering, Similarity Analysis, Bag of Words and TF-IDF for Text Data Vectorization, Text Classification Using Machine Learning and Deep Learning, and How to Use Hugging Face
초급
NLP, Text Mining, Machine Learning(ML)
Everyone's Korean Text Analysis and Natural Language Processing with Python
todaycode
₩59
초급 / NLP, Text Mining, Machine Learning(ML), data-clustering, Big Data, Data literacy, Python
4.9
(27)
ChatGPT Latest Model Prompt Engineering Bible
Masocampus
₩77
입문 / AI, ChatGPT, prompt engineering, GPTs
4.6
(49)
Apply the latest trends in generative AI directly to your work! The bible of prompt engineering lectures, containing only the essentials.
입문
AI, ChatGPT, prompt engineering
ChatGPT Latest Model Prompt Engineering Bible
Masocampus
₩77
입문 / AI, ChatGPT, prompt engineering, GPTs
4.6
(49)
LLM Application Experience Sharing Session
inflearn
무료
입문 / LLM, RAG
4.8
(74)
This is the edited live video from the LLM Application Experience Sharing Session with knowledge sharer Kang Byung-jin :)
입문
LLM, RAG
LLM Application Experience Sharing Session
inflearn
무료
입문 / LLM, RAG
4.8
(74)
Gen AI RAG Practical Guide, Complete Mastery of AI Chatbot Using Langchain
Masocampus
₩69
초급 / LangChain, FastAPI, RAG, streamlit, openAI API
4.5
(8)
A Complete Guide to Building an AI Chatbot System with Langchain and RAG! Provides a systematic learning process for generative AI development technology.
초급
LangChain, FastAPI, RAG
Gen AI RAG Practical Guide, Complete Mastery of AI Chatbot Using Langchain
Masocampus
₩69
초급 / LangChain, FastAPI, RAG, streamlit, openAI API
4.5
(8)
Deep Learning Next Generation Innovation Technology - Introduction to Physical Information Neural Networks and Pytorch Practice
dlbro
₩55
초급 / PyTorch, Deep Learning(DL), Machine Learning(ML), Artificial Neural Network
4.8
(22)
This is a lecture that studies the physical information neural network, one of the next-generation innovative technologies of deep learning, and implements it directly using Pytorch. Let's learn the next-generation innovative technology of artificial intelligence with me!
초급
PyTorch, Deep Learning(DL), Machine Learning(ML)
Deep Learning Next Generation Innovation Technology - Introduction to Physical Information Neural Networks and Pytorch Practice
dlbro
₩55
초급 / PyTorch, Deep Learning(DL), Machine Learning(ML), Artificial Neural Network
4.8
(22)
Hands-on! Building a Deep Learning-Based Recommendation System
YoungJea Oh
₩39
내일까지
8%
₩35
중급이상 / Python, Machine Learning(ML), Deep Learning(DL), Tensorflow, Recommendation System
4.4
(9)
This course covers everything from the basic concepts of recommendation systems to the principles of applying deep learning. Develop your practical skills for recommendation service development by learning various recommendation algorithms, including collaborative filtering, content-based filtering, and hybrid recommendation systems!
중급이상
Python, Machine Learning(ML), Deep Learning(DL)
Hands-on! Building a Deep Learning-Based Recommendation System
YoungJea Oh
₩39
내일까지
8%
₩35
중급이상 / Python, Machine Learning(ML), Deep Learning(DL), Tensorflow, Recommendation System
4.4
(9)
Understanding the Fundamental Principles of Large Language Models (LLMs)
arigaram
₩254
중급이상 / NLP, gpt, AI, ChatGPT, LLM
4.4
(5)
[The 2nd edition is scheduled for completion in 2026] You can develop your programming skills while exploring the fundamental principles of Large Language Models (LLMs) such as ChatGPT and Claude in depth. You can learn a variety of information and development techniques that are often difficult to come by.
중급이상
NLP, gpt, AI
Understanding the Fundamental Principles of Large Language Models (LLMs)
arigaram
₩254
중급이상 / NLP, gpt, AI, ChatGPT, LLM
4.4
(5)
From LLM Fundamentals to the Latest RAG & LangChain: Master the LLM Basics Course in Just 5 Hours!
HappyAI
₩68
초급 / Chatbot, LLM, LangChain, RAG, openAI API
4.3
(30)
This is a course to master the fundamental theories of LLM and the core technologies of LangChain and RAG. You can easily learn the latest AI technologies used in practice, starting from LLM basics!
초급
Chatbot, LLM, LangChain
From LLM Fundamentals to the Latest RAG & LangChain: Master the LLM Basics Course in Just 5 Hours!
HappyAI
₩68
초급 / Chatbot, LLM, LangChain, RAG, openAI API
4.3
(30)
