AIポートフォリオ作成 - Airbnbクローンプロジェクト

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.

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

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

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.

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

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.

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

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

This course covers data analysis using ChatGPT and Pandas utilization. Get a preview of the changed future ChatGPT will create.

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

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.

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 course teaches the process of [idea generation - data collection - verification through backtesting] for developing a Bitcoin cryptocurrency coin bot that can generate automatic profits, as well as the principles of the AIS1, AIS2 investment strategy developed by the instructor, stock selection and buying and selling points and backtesting, and the source code for bot execution.

This course will help you build a solid foundation in the basic concepts of reinforcement learning through essential theoretical learning on deep reinforcement learning, and learn the principles of deep reinforcement learning in detail through hands-on practice of implementing actual code using TensorFlow.

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.

Learn all the steps from A to Z required to create and operate a cryptocurrency automatic trading coin bot. (Basics of using exchange APIs, deployment using AWS) You can also learn investment strategies (such as using Kimchi Premium) that can generate risk-free returns of around 10% per year by utilizing the structural characteristics of the cryptocurrency market.

I'll show you how to strategically create a portfolio. To get a job quickly, you need to create a portfolio that the 'interviewer' will like, not the design you want to do.

🚀 Practical AI Anomaly Detection with Databricks! 💡 Stop using expensive and slow models! From large-scale data optimization to real-time deployment, complete an anomaly detection AI that can be used immediately in corporate practice.

This is a [Backend, Resume Enhancement] class prepared for job seekers and junior developers.

You need to take interviews frequently to get a job. To take interviews frequently, you must have a good personal portfolio website. This is a good personal portfolio website creation guide textbook (PDF) that Coding Works has made with great care. This textbook is not something you can find by Googling on the Internet. This is a one-of-a-kind publisher employment personal portfolio website creation guide (PDF) that Coding Works has created after teaching publishing theory, practice, and personal portfolio website creation to over 300 students in the field for several years and including detailed methods for creating personal portfolio websites so that students can get jobs at their desired companies quickly.

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 course teaches you step-by-step the web planning process for large-scale projects from A to Z, from RFP analysis, which is an essential competency for SI and next-generation project web planners, to linkage definition and integrated design, and then to test implementation and stabilization.

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.

Web planners and PLs/PMs can quickly create high-quality deliverables.

AI Artificial Intelligence, it goes without saying that mobile is the trend. But how do you learn machine learning and deep learning and use them on mobile? Now, let's learn useful mobile Computer Vision projects that are used in daily life.

Data Science(DS) & Artificial Intelligence(AI) job role analysis, plus a learning & employment roadmap for building a career in these roles.

I've prepared a lecture offering job transition knowledge and a resume/portfolio writing guide for Planners and POs who need to prepare for a career change. This is recommended for the following individuals: - Those who need to prepare for a job change but don't know how to start. - Those struggling because they're completely unfamiliar with the concept and structure of resume/portfolio writing. - Those who don't know what points to highlight about themselves.

We will reveal the actual data analysis portfolio of successful job seekers and the portfolio-related questions they received during interviews!

From design collaboration methods to career advice, Wanted Product Designer Sanghyo Lee shares stories you might be curious about.

When researching AI or conducting a project using it, basic paper implementation is essential. Let's upgrade our practical skills by implementing an actual paper through this lecture!

[Inspiration Note] From how to find inspiration in everyday life with author Seunghee to questions you might have for Seunghee as a brand marketer!

Everyone's dream blog! Create a differentiated blog that you can make and operate yourself, rather than a blog that you can see anywhere! Challenge yourself now with a Github blog!

This newly designed course, drawing from the instructor's initial deep learning failures, helps you progressively learn deep learning essentials: math, theory, PyTorch-based implementation, transfer learning, and GPT's core Transformer.

You can easily create your own blog with just GitHub Fork! This is a service that allows you to manage a learning blog (TIL) and GitHub lawn together.