[Rookiss] Introduction to CS for Claude Code Development (Interactive Textbook)

Work automation has always been the domain of developers, but with Cowork, you can create your own office-specialized workflows just by making requests in Korean within a chat window, without any coding knowledge. In this course, we will cover from scratch how to maximize office work efficiency through no-code automation.

It covers the direction of employment, studies, and entrepreneurship in the era of AI.

This is a course where you will learn about how to use the Unity engine and the features it provides, and learn methods to manage it efficiently.

This contains everything you need to know for Unity engine-based game development in 2026! AI will likely handle the coding anyway, but you still need to know the essentials to give proper instructions! It covers more detailed content than the previous series on building with C# and Unity. This content is a refined version of what was covered in the previous [Game Development Challenge].

This is a course where you study core major knowledge such as network, multi-threading, and operating systems, and learn MMORPG technology by building a game server from scratch.

This is a UE5 source code analysis lecture conducted by a top-level Unreal Engine expert.

This is a lecture where we continue implementing the content started in Part 7, using the EF Core learned in Part 8.

In just one year, an AI-driven cataclysm has occurred. Is it over for game programmers forever? Let's predict the future direction of the industry and establish a tailored strategy.

This is a basic C# programming course for those who do not have basic programming knowledge. It is not a class that focuses on memorizing grammar, but rather summarizes only the most necessary parts.

This course covers the overall aspects of web servers required for game development, using the latest ASP.NET Core (Blazor, WebAPI).

This is a lecture on how to create a simple 2D game using the Unreal Engine. You can develop the ability to use blueprints in practice and naturally learn the basics of using the Unreal Engine.

This is a lecture practicing Unity development by creating a game similar to Supersense's hit, Burger Please.

This is a lecture on creating a simple online 2D roguelike game by utilizing the core concepts learned in Parts 1–6.

This is an all-in-one curriculum for game programming beginners who are unsure of where to start. It is a comprehensive curriculum that covers the basics of game programming, including C++, data structures/algorithms, STL, game mathematics, Windows API, and an introduction to game servers.

This course will teach you about Entity Framework Core, a .NET ORM for seamless database integration.

This is an introductory course where you learn the core concepts of Claude Code through a 3D office analogy. From hiring a single robot in an empty office, giving it a brain and a heart, equipping it with tools, permissions, and memory, to eventually having multiple robots work together as a team—each concept unfolds as an office scene. You will master every concept by interacting with the digital course materials and complete your learning through hands-on practice on your own computer.

This course covers core computer science knowledge such as networking, multi-threading, and operating systems, and teaches MMORPG technology by building a game server from the ground up. It provides a comprehensive overview of the knowledge that a new server programmer should know, building a foundation that allows them to adapt to any project without feeling overwhelmed.

This lecture covers the reality of being a game designer, which many people misunderstand, and the direction for the future.

This is a lecture where you will become familiar with Unity engine application methods by analyzing the 2D clicker sample game "Ant Inc."

This is a course that covers the entire process of working with the Unreal Engine based on C++, in a shallow and quick way.

Conversation loops, tool calling, permissions, prompt assembly — learn the core principles of Claude Code by visualizing them through 3D interactive materials. Translate the structure you understood from the materials directly into code to complete your very own 'Mini Claude Code (Harness)'.

This is a tutorial-style Claude code development course that even beginners and those new to development can easily follow. Based on experience teaching offline classes for planners, designers, and non-developers, you can learn everything in a single flow—from basic examples not covered in books to intermediate development projects. Using Claude code, you will experience the step-by-step development process, starting from "Hello World" to a Lucky Draw app, a device-optimized cafe menu management web page integrated with Claude design and Excel data, and finally a SaaS web application that can be uploaded to databases and cloud services. Tutorials are provided in stages of theory, practice, and projects. Through six levels of hands-on exercises, you will master AI-collaborative development methodologies and experience the entire development cycle, including cloud deployment and operation.

The time when your imagination becomes reality—we invite you to the world of 'Vibe Coding.' We have prepared this lecture for those of you who "don't know coding, but know exactly what you want to create." With the emergence of AI like ChatGPT and Claude, people say anyone can develop. But what happens when you actually try? - "It writes simple code well, but as the number of files increases, the AI forgets the previous context." - "It looks plausible, but it throws errors when executed, and when I ask to fix it, it gives even weirder code." You’ve likely had this experience at least once. I also experienced the same frustration when I first collaborated with AI. AI was an excellent 'assistant,' but it had limitations in seeing the big picture. However, after discovering the OpenAI Codex CLI and mastering a new method called 'Vibe Coding,' my development process changed completely. This lecture will solve the problems you are facing and transform you from a coder into a director who commands AI agents. Equip yourself with the powerful tool called Codex CLI and join me on an exhilarating journey of Vibe Coding to turn your imagination into reality.

Explore → Plan → Implement → Commit. Master a proven AI development workflow with Claude Code. Learn everything from MCP and sub-agents to prompt engineering through 23 missions, and complete 3 real-world projects.

Messy code, a flood of requirements... If you're looking for a breakthrough with AI, Learn how to become a "high-performing developer" by leveraging AI in legacy environments, taught by the former VP of Engineering at Toss Payments. Legacy code isn't going anywhere, even in the age of AI. It’s no exaggeration to say that every company has legacy code, unless they were founded today. So, how should we utilize AI in this reality? In this course, the former VP of Engineering at Toss Payments, who led a large-scale payment service organization, demonstrates firsthand how to work effectively using AI in legacy environments. This isn't just a course about how to use AI or basic coding skills. The goal is to help you develop your "critical thinking" as a developer and truly understand what it means to work effectively.

This is a practice-oriented course for experienced developers with a computer science background transitioning to the latest AI technology stack. From the design to the implementation of LLM-based applications, you will establish AI solution adoption strategies by leveraging existing software engineering knowledge. Rebuild your career by integrating traditional development experience with modern AI technology.

Drawing from my own experience of feeling despondent when trying to implement practical code during my first MSA transition—despite knowing the theory—I will help you grow into a developer who guarantees perfect data consistency amidst any system failure by directly rolling back daunting compensation logic through 9-step practical patterns and AI Agent coding.

AI is only as good as you are. Master "Vibe Coding" through a three-step process: AI utilization, foundational core knowledge, and project development. For those who want to learn Vibe Coding properly, we deliver the unchanging core concepts—applicable to any AI—in bite-sized pieces.

How long will you keep struggling with repetitive daily research and document writing? I, too, was an ordinary office worker who worked overtime every day trying to find key insights amidst an overflow of information. However, after integrating Gemini 3 into my workflow, I experienced a significant increase in work speed. Boost your productivity by utilizing Gemini in your tasks.

From coding basics to launching your own app all at once?! The App Build All-in-One, connecting fundamentals and practical application.

Complete the core battle system of a Unity 2D martial arts idle game from scratch using the AI coding agent Claude Code. We will build a starter kit codebase that is immediately expandable in practice—covering auto-battle, object pooling, stage systems, and boss battles—while experiencing the entire development loop from requirement design to debugging alongside AI.

Let's develop the ability to find rational decision-making models based on mathematical thinking by understanding various elements of AI and data, and solving real-world problems using ChatGPT and no-code programming!

Learn Claude Code Faster Than Anyone | Developer Edition Learn the trending Claude Code quickly (installation, usage, skills, sub-agents) and create your own project!

All lectures have been newly updated for June 2026, reflecting all the latest content. 5-Hour All-in-One Course → Apply directly to work with only the most essential services Practical AI Specialist Course → Step-by-step learning from sign-up to in-depth application Curated Essential AI for Work → Focus on core tools you actually use instead of 100 unused lectures Perfect Integration with Books → AI learning that can be utilized for a lifetime even without a textbook

When you study machine learning, you learn how to improve accuracy. But the moment you try to deploy that model onto an actual chip, you are left with questions no one ever taught you to ask: How many multiplications does this model require? What does it need to remember, and how much? Can the target chip specifications handle these demands? Machine learning textbooks focus on accuracy, while semiconductor textbooks focus on circuits, yet resources bridging the two are scarce. I repeatedly encountered this gap while implementing RISC-V CPUs and NPUs on FPGAs—facing situations where the model with the highest accuracy simply wouldn't fit on the board. In this course, you will build six algorithms from scratch in Python, measuring the number of multiplications, comparisons, memory usage, and accuracy for each. You will then translate these metrics into actual FPGA board resources. While knowing the number of multiplications alone doesn't give you a sense of scale, expressing it as a percentage of the board's resources makes it easy to assess. After completing nine labs and compiling the six models into a single table, an unexpected picture emerges. We spent nine sessions counting multiplications, only to find that multiplications weren't the actual bottleneck. From there, we move on to quantizing floating-point numbers to integers, managing bit widths, and even establishing criteria for grading circuits. An FPGA board is not required. The course can be completed using Python alone, with the board serving merely as a reference for translating the measured metrics.

This is a course where you'll learn the latest Next.js v15 App Router while building a practical developer blog based on Notion together. Additionally, you can gain various insights including how to utilize Cursor AI.

A course to truly make you a hands-on game developer. Push your limits with 4 hands-on projects and 3 AI-specialized games!

This course trains your frontend system design mindset through real-world service cases such as Threads feeds, Amazon shopping carts, Netflix streaming UI, Google Docs collaborative editing, Micro Frontends, Agentic UI, and Observability.

"Beyond Data Analysis: From Predictive Model Design to Optimization (29 Lectures in Total)" Have you finished your data analysis but feel stuck when it actually comes to building a model? We help you fully master not just how to call libraries, but the working principles of each algorithm and optimal model validation strategies.

It's time to move beyond the beginner level and step up to the standard of professional developers. We're going to reveal exactly how games are actually made in the industry.