Git & GitHub Introduction: Hands-on learning for all developers

Non-Majors Welcome: Real-World Vibe Coding Projects Created Through Conversations with AI

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

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 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 U-Net paper from scratch using 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 course teaches you how to implement deep learning papers by implementing the YOLO (You Only Look Once) paper from scratch using TensorFlow 2.0.

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.

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 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.

Learn how to utilize various local LLMs (Qwen, Gemma) and explore different techniques to efficiently evaluate and improve the performance of LLM systems.

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

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.

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

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 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.

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

For those who have hesitated to adopt Git and Github for collaboration or have given up for various reasons, this introduces Git basics and the GitFlow branching strategy. It's structured to help you learn Git and Github tailored to the specific characteristics of Unity projects.

For beginners, learn about the most basic commands of git & github, flow.

“I want to develop a project through small-scale collaboration, but I don’t know how to do it!” “I’m a job seeker and I don’t know Git!” This lecture covers Git, which is essential for job seekers, junior developers, and other programmers.

Is there any other language that is as difficult to set up as C++ in terms of development environment? I set up the development environment by following the information that is floating around, but why is it so difficult and complicated to build even once? Through this lecture, learn how to set up the C++ development environment easily anytime, anywhere, regardless of OS or platform!

Everything you need to pass the GitHub certification exam! We provide Kind explanations that make complex concepts easy to understand, along with practice questions. Focus on frequently asked questions and key concepts to maximize your results in minimal time.

In order to share with you the consulting/education/construction experience of DevOps specialist company Too Seed, we are introducing a lecture on Git Runbook. We will explain the overall contents from the structure of Git to the basic usage method and usage strategy.

This is a Git course designed to help you become a top-tier web developer through in-depth lessons. By the time you complete the course, you will have a deep understanding of the essence of Git, allowing you to master this essential developer skill and use it with proficiency.

How to easily set up git, VS Code, Node.js, Python, Java dev environments on Windows within 2 hours without struggling.

The essence of GitHub lies in Git. If you know how to manage projects with Git, you can collaborate smoothly. If you use Git well, you can also use GitHub well. In this course, you can learn Git's principles and key CLI commands to apply them in your work.

It's okay if you don't know a single line of code. We are now in the era of 'Vibe Coding,' where you develop by 'conversing' with AI.

Through this lecture, you can systematically learn core concepts such as Bisect start and end conditions, understanding the Bisect process, Bisect application scenarios, Bisect options and advanced usage, and precautions for troubleshooting.

Through this lecture, you can systematically learn core concepts such as what reflog is, how to check the reflog, recovery using reflog, the expiration period of reflog, and important precautions and tips.

Through this course, you can systematically learn core concepts such as creating and utilizing Worktrees, integration and change management with Worktrees, advanced Worktree usage, troubleshooting and precautions, and comparisons with other methods (Feature Branching).

Through this lecture, you can systematically learn core concepts such as an overview of the Git blame command, file history viewing options, checking and utilizing commit information, GUI tool integration (optional), and troubleshooting and tips.