Learn Git & Github in Easy Terms - Master Collaboration

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.

The goal of the lecture is collaboration. We will learn how to use Git and Github directly and collaborate :)

Learn how to break down complex concepts into easy terms and apply them to collaborative projects from the ground up.

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

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.

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.

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.

Master Git through visual explanations, diagrams, and animations that reveal how version control actually works. Learn to confidently manage repositories, branches, commits, and collaborate on GitHub while understanding the logic behind every command. Build a solid mental model that empowers you to handle real-world scenarios and recover from mistakes with ease.

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).

Regardless of the field! This is a lecture that covers the core fundamentals that developers must know in practice in an easy + code-oriented way. I highly recommend this lecture to all junior developers and job seekers who want to grow.

This course is a 37-lesson, approximately 14-hour program that covers OpenAI’s AI coding agent, Codex, from start to finish. AI coding tools are now commonplace. However, most users remain at the level of accepting autocomplete suggestions or asking questions in a chat window. Agentic tools like Codex can do much more than that. They can read an entire project, modify multiple files simultaneously, run tests, and find and fix errors on their own. The problem is that they require an equivalent level of control. If you do not know what to allow and what to block, or how to teach the tool your project’s rules, you will end up cleaning up the code it creates afterward. This course focuses on how to establish that control. In the beginner section, you will learn installation and your first conversations, file editing and session management, and slash commands, while building a foundation in prompt writing. Through hands-on practice, you will internalize three principles: making clear requests, breaking down tasks, and verifying the results. The intermediate section is where the main content begins. You will configure behavior with config.toml, teach project rules with AGENTS.md, and manage memories with Memories. You will design safety boundaries yourself by combining the sandbox with four types of approval policies. The course then covers thread separation and parallel work, planning mode, connecting MCP servers, and creating custom skills based on SKILL.md. Finally, after covering web searches and Git automation, VS Code and Cursor integration, and hands-on FastAPI practice, you will examine Codex’s internal protocol, the SQ/EQ queue model. Understanding how the tool works changes how you respond when problems arise. The entire course follows the process of building a single service called TaskFlow. Rather than learning each feature in isolation, you will experience, in sequence, when and why each one is needed in a real project.

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 course goes beyond teaching Docker as merely a set of tools and approaches it from the perspective of solving the concerns and problems you will actually encounter in the field. It explains, based on firsthand experience operating financial infrastructure in the industry, everything from unpredictable errors caused by differences between development and production environments, and configuration mistakes stemming from vague concepts of images and containers, to the anxiety of wondering, “How much do I need to know for this to be useful in practice?” Rather than simply listing commands, the course focuses on real-world examples to explain why this structure is necessary, how to design images for easier maintenance, and how to manage containers to operate services reliably. In particular, it places greater emphasis on hands-on practice than theory, with the goal of helping students understand Docker visually and master it through practice—not merely reaching the level of “knowing how to use Docker,” but understanding it from an operational perspective. This course provides practical standards and direction for those encountering Docker for the first time, those who have used it but have not yet organized their understanding of the concepts, and developers who want to take their infrastructure skills to the next level.

This hands-on Git course teaches developers to confidently navigate version control through practical investigation techniques and real-world scenarios. Students master essential Git commands for inspecting commit history, comparing revisions, tracing bugs, and understanding code evolution. Every lesson uses real repositories to build immediately applicable skills for professional development workflows.

"Developer Portfolio Completion Practice for IT Job Seekers" is a practical course designed to transform projects created in class from simple outputs into portfolios and interview materials that can persuade recruiters. It covers step-by-step how to organize projects, design the first page, expand case studies into structured formats, and connect these elements to interview answers, application routines, and operation/improvement records. This course is particularly suitable for graduates and entry-level developers who have created a portfolio but lack confidence in it or feel lost about what to do next. Through this course, learners will move beyond simply having "made something" and learn how to reconstruct their projects into "documents and evidence that can be utilized for employment."

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 what reflog is, how to check the reflog, recovery using reflog, the expiration period of reflog, and important precautions and tips.

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.

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!