[Rookiss] Introduction to Claude Harness (Interactive Textbook)

Business automation has always been the domain of developers, but Cowork lets you create your own workflows tailored to office tasks simply by making requests in Korean within a chat window—without any coding knowledge. In this course, we cover everything from the basics of maximizing office-work efficiency through no-code automation.

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].

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

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.

A course for absolute beginners. This course teaches Blueprint, Unreal Engine's visual scripting, for programmer-level familiarity.

Business automation has always been the domain of developers, but GPT Work lets you create your own workflows specialized for office tasks simply by making requests in Korean in a chat window, without any coding knowledge. In this course, we cover everything from the basics of maximizing office-work efficiency through no-code automation.

This is a lecture that naturally learns data structures and algorithms while studying [pathfinding], which is essential for RPG games.

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 is a course on creating a framework that integrates an IOCP game server with Unreal Engine. (This is not a Dedicated-Server course!)

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.

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.

In the era of agents, true skill comes from 'control.' You will perfectly master the operating principles of agents by building the core architectures of Claude Code—Agent, Tool, MCP, Skill, and AgentTeam—from scratch.

Beyond the first wave of AI, the era of Physical AI, represented by autonomous driving and robotics, is arriving. To prepare for a future where AI permeates transportation, delivery, manufacturing, and service sectors, we will understand the changing job market and establish specific learning strategies and career directions for survival.

This course explores the essential RPG game feature of "pathfinding" while naturally teaching data structures and algorithms. It quickly covers common technical interview questions, allowing you to prepare for coding interviews in a short period.

A UE5 Source Code Analysis Lecture by a top-level Unreal Engine expert.

This lecture will delve deeper into the various features of ASP.NET Core. You will practice what you have learned through Facebook authentication practice.

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

This course covers essential content for complete Unity beginners.

Learn the basic C++ syntax for smooth learning of the series. We will cover essential content from assembly language to basic C++ syntax, STL, and C++11 in a compressed manner.

This course teaches the essential CS knowledge required for web development using AI. If you don't understand the principles of servers, databases, and deployment, "Vibe Coding" will inevitably hit a wall at some point. Through interactive textbooks, you will quickly learn essential concepts, enabling anyone to complete a web project using Vibe Coding.

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.

Now, your AI is no longer in the cloud. It runs directly inside your laptop. Using LM Studio and Ollama, we will show you how to build a Private AI environment that runs entirely locally— from data processing and document analysis to code generation. Without security concerns, without costs, and even faster— Move beyond simply "using" AI and start "truly mastering" it.

If you follow OpenClaw Parts 1 and 2, you eventually end up making a single agent do everything. As you do this, there comes a moment when prompts get tangled, memory gets mixed up, folders get messy, and you feel stuck, not knowing how to organize things anymore. This lecture is the "Introduction to Multi-Agents (Part 2.5)," designed to help you move one step further from that point. While maintaining a single bot, we will separate roles into two agents—planner and editor—and connect each agent to different workspaces and Telegram forum topics. You will personally build a structure where "different agents respond depending on which room you speak in." By following the hands-on practice, you will have the following in your environment: - A configuration file defining two agents: `content_planner` and `content_editor`, - A content folder structure where planning and drafting are separated, - A Telegram group chat where different agents are attached to specific forum topics, - And one actual draft of an Inflearn course introduction created through the collaboration of the two agents. In short, this is a practical class that helps you design the first step of upgrading your Telegram bot from a "single AI assistant" into a "small AI team with divided roles."

"Why does my automated trading collapse in a bear market?" I have also deeply pondered this same question. Most automated trading logics on the market seem to generate profits during a bull market, but they lose their ability to respond the moment the market sentiment changes. To solve this problem, I have combined the know-how I researched myself over the past two years with the latest AI technology. In this course, you will learn how to directly design a 'Transformer-based deep learning model' that simultaneously reads macroeconomic trends and individual stock flows, and how to automatically train and deploy it in a free GPU environment. In particular, we will introduce sophisticated data normalization techniques at the hedge fund level to build an 'Intelligent Comprehensive Scoring System' that goes beyond simple indicators to incorporate news sentiment. To this, we add an 'AI Safety Gate' that implants the insight of a trader with 20 years of experience on Wall Street, adding a final layer of confidence from a human trader's perspective right before a purchase. Beyond simple buying and selling functions, you will directly implement the entire process of an institutional-grade algorithmic system by adding dynamic take-profit and stop-loss logic, eight self-recovery mechanisms, and real-time Slack reports.

This is a tutorial-style Claude Code development course that beginners and those new to development can easily follow. Based on experience teaching planners, designers, and non-developers in offline classes, the course covers everything in one continuous flow—from beginner examples not covered in books to intermediate development examples. Using Claude Code, you will experience the step-by-step development process, starting with Hello World and progressing to a lucky draw, a device-optimized café menu management web page integrating Claude Design with Excel data, and a SaaS web application that can be connected to a database and deployed to cloud services. Tutorials are provided at each stage—theory, practice, and projects. Through hands-on exercises across 6 levels, you will learn AI-collaborative development methodologies and experience the entire development cycle, including cloud deployment and operations.

Let's create a service that improves itself even while you sleep! Learn step-by-step how to build a 24-hour vibe coding system using loop engineering with Codex.

How long are you going to manually look through 2,500 stocks every day? Searching through Naver Finance to find surging stocks after the market closes, Reading news to judge whether it's good or bad news, Checking foreign/institutional supply and demand one by one, Opening charts to analyze patterns... Aren't you repeating this every single day? I used to do that too. I spent 2 to 3 hours after work analyzing stocks, and yet I still missed more stocks than I found. With over 2,500 stocks across KOSPI and KOSDAQ combined, it's impossible for a human to see them all every day. --- So, I built a system. I created a system that automatically analyzes 2,500 stocks every day after the market closes. - Automatically collects market prices, supply/demand, and news - AI (Gemini) reads the news and determines if it's positive or negative - Scores stocks out of 15 points based on 6 factors - Selects only the stocks that pass the criteria and calculates entry, stop-loss, and take-profit prices - Sends notifications via Telegram Now, I just check my phone after work. Additionally, every Saturday, the system analyzes its own performance from the past week and automatically adjusts stop-loss lines, take-profit lines, and holding periods. It is a structure where the system learns and improves on its own. --- But I am not a developer. I didn't write the code for this system myself. I gave all the instructions to the AI verbally. "Filter out stocks that rose more than 5% today with a trading volume exceeding 50 billion won." "Send these 3 news articles to Gemini and have it judge if they are positive." "Create a scheduler so this runs automatically every day at 4 PM." When I speak like this, the AI (Claude) generates the code. This is "Vibe Coding." --- In this course, we will build this exact system. Over 58 lessons, we will build the system I actually use every day from start to finish. Starting from data collection, AI news analysis, scoring engine, signal generation, Flask API server, Next.js web dashboard, Telegram automatic notifications, and even the self-learning system. The final product is not a Jupyter Notebook. The final product is a web dashboard and Telegram notifications that actually run every day. You don't need to know how to code. In every lesson, I will show you how to talk to Claude, and if you follow along, you will get the same results. --- Recommended for: - Office worker investors who lack the time to analyze stocks every day - Those who want an automated system but don't know how to code - Those curious about quant/system trading but don't know where to start - Those curious about how to utilize AI in practice --- ⚠️ This course does not guarantee investment returns. This is a programming course on building your own stock analysis tools. Actual investment decisions are the responsibility of the student.

Innovation in Work Efficiency and Creativity – Agentic AI AI is now evolving beyond simple automation into a new stage where it can judge and execute on its own. Agentic AI is at the center of this change, serving as a core technology that helps businesses and organizations operate smarter. In this course, we have organized the content clearly and simply so you can understand how Agentic AI connects decision-making with execution and how it can be applied to practical work. Discover the essential knowledge for every professional preparing for the future right now.

I will teach you Vibe Coding systematically from the ground up, following the exact curriculum refined while teaching over 10,000 students by a former Tech Lead with 10 years of experience in New York and LA startups. Together, we will build my own service, 'Kagong Map,' from scratch, learning the entire real-world workflow—from research, development, and deployment to operation and automation by delegating tasks to AI agents. I promise you two things: first, you will grasp the big picture of how a service operates so you can judge the AI's output yourself; second, you will learn how to embed workflows and standards into the environment so the AI produces consistent results every time. When you make the judgments and the AI follows orders effectively, your ideas become real services.

This course is not just about "how to implement" a Transformer, but about dissecting why this architecture was created, what role each module plays, and how the entire model works from the designer's perspective. We deeply analyze the internal computation principles of Self-Attention and Multi-Head Attention, and directly verify through formulas, papers, and implementation code what limitations Positional Encoding, Feed-Forward Networks, and Encoder·Decoder structures were introduced to solve. Starting from Attention, we assemble the entire Transformer structure ourselves, and actually perform training to experience firsthand how the model operates. This course is the most structured and practical roadmap for "anyone who wants to completely understand Transformers."

This is a course on building your own stock and cryptocurrency automated trading programs using ChatGPT, even without prior coding knowledge. You will gain both AI development skills and financial investment knowledge through hands-on practice covering the entire process, from data collection to predictive model development, stock recommendation systems, and actual automated trading.

Updated as of September 2026!! If you want to learn step by step—from harness engineering, Claude Design, and dynamic workflows to new features released after the book’s publication—check out the 25-session hands-on course on Hanbit+. 🔍 Search for 'Learn Vibe Coding on Your Own' on Hanbit+ (hanbit.co.kr) · Lifelong Education Voucher accepted We live in an era where you can build apps without knowing how to code. If you have an idea, you can talk with Claude Code and implement the features you want. Rather than having you write code yourself, this book introduces a new development approach in which you communicate with AI to achieve the results you want. By following 15 hands-on projects, you’ll experience a variety of workflows with AI—from creating a personal webpage to handwriting recognition, quiz apps, image-based recommendations, AI summarization, Notion automation, and cloud deployment. Rather than simply following example exercises, the book gives you the experience of completing the entire practical development process—from planning and design to testing and deployment—in collaboration with AI.

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.

While your colleagues are already working with Claude Code, are you still doing all of this manually? Don’t worry! Take this course, and you too will become a vibe-coding master.

"How is a 1-trillion parameter model trained?" Discover the scaling strategy of Kimi K2.5, revealed directly on stage by Moonshot AI at GTC 2026, in Korean on Inflearn. 2x token efficiency · 1 million token context · 1,000 agent swarm The next step for open-source LLMs is here. * This lecture is released for free through an official collaboration between Moonshot AI, the creator of Kimi, and Inflearn.

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

Acquiring probability theory is essential in the study of AI and machine learning. I recommend this to those who wish to study probability theory in more depth.

During the Gold Rush, it was said that it was easier to become rich by selling gold mining tools than by mining gold yourself. How about selling programs in the ChatGPT Age of Exploration?

We explore how to create an AI judge by combining knowledge graphs, reasoning systems, and various agent frameworks such as CrewAI, LangChain, and AutoGen, which enable the implementation of LLM-based multi-agent technology.