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)
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)
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)
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)
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)
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)
![[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)
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)
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)
Introduction to Deep Learning Natural Language Processing with Examples NLP with TensorFlow - From RNN to BERT
AISchool
₩68
초급 / Deep Learning(DL), NLP, Tensorflow
4.5
(33)
From the basics of deep learning natural language processing to the latest models such as Transformer and BERT, learn the principles and utilization methods of deep learning natural language processing (NLP) through various examples and practical code implementations.
초급
Deep Learning(DL), NLP, Tensorflow
Introduction to Deep Learning Natural Language Processing with Examples NLP with TensorFlow - From RNN to BERT
AISchool
₩68
초급 / Deep Learning(DL), NLP, Tensorflow
4.5
(33)
Kaggle Machine Learning for Beginners Learn from Industry Professionals - ML Engineer Practical Tips
AISchool
₩46
초급 / Kaggle, Machine Learning(ML), EDA
4.6
(24)
Learn the basics of machine learning step by step through various Kaggle examples, and learn vivid project experiences and practical tips from hard-to-access field machine learning engineers all at once.
초급
Kaggle, Machine Learning(ML), EDA
Kaggle Machine Learning for Beginners Learn from Industry Professionals - ML Engineer Practical Tips
AISchool
₩46
초급 / Kaggle, Machine Learning(ML), EDA
4.6
(24)
Deep Learning Paper Implementation with YOLO Implementation with TensorFlow 2.0
AISchool
₩77
중급이상 / Deep Learning(DL), Tensorflow
4.7
(38)
This course teaches you how to implement deep learning papers by implementing the YOLO (You Only Look Once) paper from scratch using TensorFlow 2.0.
중급이상
Deep Learning(DL), Tensorflow
Deep Learning Paper Implementation with YOLO Implementation with TensorFlow 2.0
AISchool
₩77
중급이상 / Deep Learning(DL), Tensorflow
4.7
(38)
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)
Understanding the Latest Big Data and Artificial Intelligence Trends
YoungJea Oh
₩18
4일만
25%
₩13
입문 / AI, Big Data
4.7
(27)
Navigate the data ocean, explore AI's future. This course explores the vast tech currents of Big Data and AI, examining their innovation in our lives and work.
입문
AI, Big Data
Understanding the Latest Big Data and Artificial Intelligence Trends
YoungJea Oh
₩18
4일만
25%
₩13
입문 / AI, Big Data
4.7
(27)
LangChain Fundamentals in One Hour
jasonkang
₩4
초급 / prompt engineering, LLM, LangChain
4.9
(312)
A basic LangChain course that extracts only the essentials from the official documentation, all for the price of a cup of coffee(?). Get familiar with LangChain syntax before diving into full-scale development!
초급
prompt engineering, LLM, LangChain
LangChain Fundamentals in One Hour
jasonkang
₩4
초급 / prompt engineering, LLM, LangChain
4.9
(312)
AI Agent Development Using LangGraph (feat. MCP)
jasonkang
₩54
초급 / prompt engineering, LLM, AI Agent, LangGraph, Model Context Protocol
4.9
(193)
LangGraph, packed with a major corporation's AI Agent lead's know-how. We deliver knowledge gained from real-world challenges.
초급
prompt engineering, LLM, AI Agent
AI Agent Development Using LangGraph (feat. MCP)
jasonkang
₩54
초급 / prompt engineering, LLM, AI Agent, LangGraph, Model Context Protocol
4.9
(193)
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)
RAG Master: From Basics to Advanced Techniques (feat. LangChain)
pdstudio
₩94
초급 / RAG, LangChain, LLM, Chatbot, Python
4.9
(77)
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
(77)
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)
Deep Learning Paper Implementation with U-Net Implementation with TensorFlow 2.0 - Deep Learning Medical Image Analysis
AISchool
₩77
중급이상 / Tensorflow, Deep Learning(DL)
4.5
(8)
This course teaches you how to implement deep learning papers by implementing the U-Net paper from scratch using TensorFlow 2.0.
중급이상
Tensorflow, Deep Learning(DL)
Deep Learning Paper Implementation with U-Net Implementation with TensorFlow 2.0 - Deep Learning Medical Image Analysis
AISchool
₩77
중급이상 / Tensorflow, Deep Learning(DL)
4.5
(8)
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)
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)
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)
![[Renewed] Python Machine Learning Bootcamp for Beginners (Easy! Learn by Solving Real Kaggle Problems) [Data Analysis/Science Part2]강의 썸네일](https://cdn.inflearn.com/public/courses/327464/cover/55c4db7b-7764-43cc-ac75-d9e8d08098f1/327464-eng.png?f=avif&w=420)
[Renewed] Python Machine Learning Bootcamp for Beginners (Easy! Learn by Solving Real Kaggle Problems) [Data Analysis/Science Part2]
funcoding
₩64
초급 / Machine Learning(ML), Kaggle, Pandas, Python
4.9
(117)
Based on the instructor's own failed experiences when first learning machine learning, this is a newly designed course that differs from existing lectures, making it easy to understand machine learning and apply it to real-world problems
초급
Machine Learning(ML), Kaggle, Pandas
[Renewed] Python Machine Learning Bootcamp for Beginners (Easy! Learn by Solving Real Kaggle Problems) [Data Analysis/Science Part2]
funcoding
₩64
초급 / Machine Learning(ML), Kaggle, Pandas, Python
4.9
(117)
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)
Time series data processing using Python and deep learning
YoungJea Oh
₩39
4일만
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
4일만
20%
₩31
중급이상 / AI, python3, Deep Learning(DL), Financial Engineering, Algorithm, Investment
4.8
(17)
AI-based recommendation system
YoungJea Oh
₩39
4일만
8%
₩35
중급이상 / Deep Learning(DL), Machine Learning(ML), Recommendation System, Python, Tensorflow
4.4
(8)
This course covers everything from the basic concepts of recommendation systems to the principles of applying deep learning. Learn about various recommendation algorithms such as collaborative filtering, content-based filtering, and hybrid recommendation systems, and develop practical skills for developing recommendation services!
중급이상
Deep Learning(DL), Machine Learning(ML), Recommendation System
AI-based recommendation system
YoungJea Oh
₩39
4일만
8%
₩35
중급이상 / Deep Learning(DL), Machine Learning(ML), Recommendation System, Python, Tensorflow
4.4
(8)
From Introduction to Reinforcement Learning to Deep Q-learning/Policy Gradient
YoungJea Oh
₩43
중급이상 / Deep Learning(DL), Reinforcement Learning(RL), Python, PyTorch
4.7
(34)
All the recent amazing achievements in the field of artificial intelligence have been announced in the field of reinforcement learning. We have covered reinforcement learning technology, which is revolutionizing true artificial intelligence technology such as robots, autonomous driving technology, and human-like machines, from the basics to the advanced level, in an easy-to-understand way for beginners.
중급이상
Deep Learning(DL), Reinforcement Learning(RL), Python
From Introduction to Reinforcement Learning to Deep Q-learning/Policy Gradient
YoungJea Oh
₩43
중급이상 / Deep Learning(DL), Reinforcement Learning(RL), Python, PyTorch
4.7
(34)
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)
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)
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)
Large Language Model for Everyone LLM (Large Language Model) Part 1 - Try Fine-Tuning Llama 2
AISchool
₩68
중급이상 / LLM, Llama, Deep Learning(DL), PyTorch, ChatGPT
4.6
(102)
We will learn step by step from the basic concepts of LLM (Large Language Model) to how to fine-tune the Llama 2 model, a high-performance LLM, on the dataset of your choice.
중급이상
LLM, Llama, Deep Learning(DL)
Large Language Model for Everyone LLM (Large Language Model) Part 1 - Try Fine-Tuning Llama 2
AISchool
₩68
중급이상 / LLM, Llama, Deep Learning(DL), PyTorch, ChatGPT
4.6
(102)
Learning Deep Learning Paper Implementation through GPT Paper Implementation with TensorFlow 2.0 Part 1
AISchool
₩85
중급이상 / gpt, Tensorflow, Deep Learning(DL)
1.0
(1)
A course to learn deep learning paper implementation skills, implementing the GPT-1 (Improving Language Understanding by Generative Pre-Training) paper from scratch with TensorFlow 2.0.
중급이상
gpt, Tensorflow, Deep Learning(DL)
Learning Deep Learning Paper Implementation through GPT Paper Implementation with TensorFlow 2.0 Part 1
AISchool
₩85
중급이상 / gpt, Tensorflow, Deep Learning(DL)
1.0
(1)
The First Step into AI Without Math: From Basics to the Latest Trends
jihoonkim
₩59
입문 / Machine Learning(ML), Deep Learning(DL)
4.8
(132)
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
(132)
Java Machine Learning Weka Intermediate
javaraml
₩26
중급이상 / Java, Machine Learning(ML), Weka
4.8
(6)
This is the second lecture for popularizing Java machine learning. We introduce Weka, which provides UI and API so that both design and coding can be implemented. We have included cases that are completely suitable for practical application in the lecture.
중급이상
Java, Machine Learning(ML), Weka
Java Machine Learning Weka Intermediate
javaraml
₩26
중급이상 / Java, Machine Learning(ML), Weka
4.8
(6)
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)
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)
