ChatGPT cho mọi người Phần 2 - Phân tích dữ liệu và ứng dụng Pandas sử dụng ChatGPT

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.

This is a course to learn the concepts and usage methods of the LangChain library, and to build your own ChatGPT using the LangChain library.

This course covers work automation using MCP (Model Context Protocol) via diverse case studies: Playwright crawling, Figma design, Notion data organization, Excel data analysis.

Learn context engineering techniques for creating high-quality AI agents through hands-on practice.

This course will teach you the core theories of deep learning and how to implement deep learning code using the latest TensorFlow 2.0.

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.

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.

AI Agent: A total integration of the latest AI technology! Implement various AI agents and learn to build your own AI agent using LangGraph.

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.

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.

This is an all-in-one lecture where you can learn the entire process from the basics of deep learning/TensorFlow/computer vision to practical applications through a practical vehicle license plate recognition project. Through various practical exercises, you can develop practical skills to apply the latest deep learning models to custom datasets.

This is a lecture where you build your own MCP server using Cursor and experience vibe coding, which embodies the future of developers.

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.

This lecture covers building practical RAG (Retrieval-Augmented Generation) systems while developing an AI customer service chatbot (AICC).

I'm learning how to build practical AI agents using LangGraph while working on various AI agent implementation projects using LangGraph.

This is a lecture on creating an automatic stock trading bot using the IBK Investment & Securities Xing API. Create your own automatic stock trading bot that trades automatically 365 days a year.

A course to learn website crawling methods using ChatGPT. Get a preview of the transformed future ChatGPT will create.

This lecture teaches various business automation methods using ChatGPT (Excel, PPT, crawling, image processing) and Python basics for business automation. Experience in advance the changed future that ChatGPT will create.

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.

This lecture teaches how to create diverse quant investment strategies using ChatGPT. Use ChatGPT to build your own quant investment strategy.

This lecture teaches how to create diverse quant investment strategies using ChatGPT. Use ChatGPT to build your own quant investment strategy.

This is a course for beginners in stock data analysis. Get started with stock data analysis using Python!

To enable office workers to actively and effectively use AI in their work, we provide various techniques for reducing 'Hallucination' (i.e., nonsensical) answers and accurately eliciting desired responses.

We cover how to discover previously unknown signals of business and technological change through the collection, analysis, and visualization of patent big data!

This lecture teaches various business automation methods using ChatGPT (Excel, PPT, crawling, image processing) and Python basics for business automation. Experience in advance the changed future that ChatGPT will create.

With Python Quant Investment, you can create investment strategies based on data and invest according to the strategy. You can implement various asset allocation strategies and ultimately create your own investment strategy.

You can learn everything from basic usage of generative AI to automation and creating customized AI chatbots for practical work applications all in one comprehensive course.

Analyzing customers, markets, and revenue patterns—you no longer need to learn it yourself. Just ask AI, and expert-level analysis and strategies are completed in an instant!

This lecture is a follow-up lecture to 'Python Data-Based Stock Quant Investment Part 1'. If Part 1 was more of an introduction, Part 2 is an in-depth lecture that focuses on the entire flow of practical strategy implementation and quantitative investment development. This class focuses on advanced Pandas techniques for handling time series data, and how to implement signal-based strategies and static/dynamic asset allocation strategies that require adjusting asset weights at various intervals based on this. Furthermore, it goes beyond strategy implementation and learns about 'code framework' that directly verifies and backtests various investment strategies with minimal code modifications, how to extend this to improve it so that it can lead to actual investment, and what to watch out for in this process. In addition to the programming component, you can experience the best Python quant investment flow that you cannot find in investment books, blogs, YouTube, etc. by deeply covering theoretical contents such as the two types of return concepts (simple return, log return) and evaluation indicators related to backtesting.

We will teach you about AI, especially Generative AI like ChatGPT, by learning about it from various angles and showing you how to use AI tools that can be applied in practice. It consists of content such as marketing planning utilizing Generative AI, and an introduction to and utilization of Generative AI tools helpful for marketing content development (ChatGPT, image Generative AI).

A course to learn website crawling methods using ChatGPT. Get a preview of the transformed future ChatGPT will create.

I will guide non-majors and beginners to quickly pass the Big Data Analysis Engineer practical exam! Theory lightly, practice thoroughly. Even without complex background knowledge, focusing on past questions, we intensively study only the points sure to appear on the exam.

<Prompt Engineering> Direct lecture by author. Feel free to use ChatGPT, Bing, Bard, HyperCLOVA X, etc.

This VOD is designed for current consultants to master, within 2 hours, the entire process of fully utilizing ChatGPT—from “Basic Analysis” → “Idea Generation” → “Report Writing”. From travel itineraries to future business scenarios... This is a practical course that starts with interesting examples and concludes with immediately applicable prompt templates, instilling the conviction not just 'I want to watch it' but 'I must use it'.

This course is a practical training program that utilizes various generative AI tools such as Napkin AI, Gamma AI, Felo AI, Imagen 3, and Suno AI based on ChatGPT to automatically generate and utilize content needed in real office environments. It focuses on multimodal content creation capabilities including report summarization, presentation composition, image generation, and music production, and includes hands-on practice of application cases for each task that leverage the characteristics of each tool.

ChatGPT: How Far? Series, Stock auto-trading app & web inv. report creation!

Learn how to dramatically boost work productivity by automating the most frequently used MS Office tasks in your work using chatGPT.

Leveraging Python's basic syntax and popular libraries Auto-generating Python syntax and library code using ChatGPT

I will tell you how to survive and thrive in the AI era, and even make money to get rich, by leveraging hyperscale AI like ChatGPT.

By properly utilizing ChatGPT, try hiring one assistant for your planning work. Your quitting time will be faster, and you will be able to taste the joy of a salary increase through high performance.