[KDC] Just the Essentials of AI! Rookiss's Pinpoint Lesson - Introduction to Claude Code

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.

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.

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

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

This is a lecture that will help you get familiar with how to apply the Unity engine by analyzing the 2D clicker sample game "Ant Corporation" that was actually released.

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

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

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

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 the structure step by step by following the core parts of the Lyra project provided by UE5.

The AI era is bringing many changes to the gaming industry. We will predict how the future will change and how to prepare for it, and explore the ideal talent profile and study strategies for the gaming industry.

The era of 60 million won starting salary for game programmers! For those who are confused about what to study and how to study, We have prepared a vivid story about the game industry and the hiring process.

This lecture is a recording of the [Vampire Survival Genre Imitation] live mentoring. We will gradually learn what knowledge and design are needed by creating a vampire survival genre game from scratch.

This is a lecture that will help you get familiar with how to apply the Unity engine by analyzing the 2D casual sample game <Alice Pang>.

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

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

This is a course for learning MS-SQL through baseball and corporate databases.

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

This lecture explains DirectX 11 knowledge, which is essential for studying game programming, at a level that beginners can understand.

Core Principles of n8n Automation and Workflow Design Basics for Non-Majors 5-Step Automation Built with n8n: API Connection Practice from Topic Input to Video Completion How to Automatically Create Videos in n8n Using AI APIs (ChatGPT, ElevenLabs, Creatomate)

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.

Have you ever thought, "I wish I had Iron Man's perfect assistant, Jarvis..."?! Complete everyone's Jarvis to help you handle your work wisely!

From PC control to high-level research and app development A guide to building your own 'AI Work Assistant' ready for immediate real-world deployment

This course is not about non-developer office workers learning coding itself, but rather an education focused on developing the ability to solve business problems directly using AI agents. Previously, one had to rely on IT departments or outsourced development when problems arose, but we are now in an era where you can design alongside AI and create immediate prototypes to implement task automation. The core competencies required for this are problem definition, establishing solution strategies through AI collaboration, and the ability to build the necessary tools yourself. In particular, by utilizing Codex CLI, existing ChatGPT users can practice agentic coding immediately without additional costs, allowing non-developers to quickly gain practical experience. The curriculum is structured step-by-step, covering everything from understanding changes in the AI agent era to development basics, terminal usage, Codex CLI-based agentic coding, problem structuring, Django web app development, and the creation of actual task automation apps. Learners can secure task automation capabilities by directly building applications applicable to real-world work, such as To-Do lists, checklists, schedule management, meeting minutes, and summarization tools. The entire course is designed as a modular micro-learning system composed of short units, allowing for rapid learning of necessary content and immediate reuse during work.

Even those who know nothing about coding will be able to create their own automated stock trading program by giving commands to AI in Korean!

It's okay even if you don't know the first thing about coding. We are in an era where AI writes the code for you as long as you have an idea! This course is not just about learning a programming language. It is a practical course where you will learn the 'most modern way of development'—giving commands (prompts) to the powerful AI code editor 'Cursor AI' to directly build the programs you've imagined.

Beyond the era of simply using AI, we are now in an era that requires people who can design AI. This course is a master roadmap that systematically organizes the entire design map of AI agents, from "Introduction → Structure → Design → Operation." Based on RAG, Tool Calling, Memory, and Multi-Agent structures, you will learn how to design and scale AI agents from an architect's perspective. If you want to grow into someone who designs AI systems rather than just someone who "uses" AI, this course will provide the direction.

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.

Understand Transformer-based LLM architecture and GPU utilization strategies, and experience direct serving through vLLM. This course covers the entire process of building an AI system pipeline, monitoring, and multi-GPU utilization, allowing you to learn intuitively through illustrations and hands-on practice without complex formulas or coding processes.

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!

This is an advanced course focused on designing and implementing Multi-LLM architectures and orchestration-centered Agent systems (Main/Sub, Tool, Task Runtime, Agent Registry) by strategically combining GPT, Gemini, and LLaMA (local) based on Spring AI and Spring Boot. Moving beyond simple LLM calls, the curriculum covers the implementation of scalable, stable, and continuously improving AI systems. This involves applying Agentic Workflow Patterns (Chain, Parallel, Routing, Orchestrator–Workers, Evaluator–Optimizer) and Multi-Agent structures, separating execution layers like RAG and external APIs/DBs via Tool/ToolRegistry, and utilizing DAG engines, YAML declarative workflows, and Validated DSL (validation immediately after loading). Furthermore, the course includes Circuit Breakers, Reactive Streams, Redis monitoring, parallel processing, and iterative evaluation loops. It expands from Thymeleaf (SSR) exercises to decoupled Front-end/Back-end architectures using React and REST, while integrating tool and agent runtimes via MCP (Model Context Protocol) to build AI architecture design capabilities at a production-ready level. The ultimate goal is to evolve beyond being a simple AI user who merely integrates APIs and writes prompts, becoming a developer capable of designing AI systems—explaining and balancing Multi-LLM, agents, workflows, declarations, and validation within a single execution architecture.

: "From Mathematical Foundations to the Latest Models, Completing the Deep Learning Pipeline with PyTorch (44 Lectures in Total)" The era of simply learning how to call model.fit() is over. From the very basics of artificial neural networks—differentiation and gradient descent—to essential PyTorch techniques used in the industry, and CNN/RNN for handling image and time-series data! We will help you systematically master the entire process of deep learning. Go beyond analyzed data and step into the amazing world of deep learning, where artificial intelligence mimicking the human brain learns and makes decisions on its own.

The Gemini agent that works across Google Drive! Put the finishing touches on your Google AI workflow with overwhelming productivity.

This is a course on creating blog images using DALL-E 3. This course provides practical knowledge and hands-on opportunities from the basics of image generation technology to advanced usage techniques and problem-solving strategies.

"The Fourth Industrial Revolution, AI factories... The terms are familiar, but can't you visualize the structure?" Smart Factory, often called the future of manufacturing. While related articles pour out and it appears as a required competency in job postings, the barrier feels far too high for non-majors. "Did you give up because of abbreviations that sound like alien languages, such as PLC, MES, or ERP?" "Are you afraid to even start because you lack knowledge in coding or engineering?" Don't worry. This lecture deals with 'structure,' not 'engineering.' Instead of complex text, we will help you complete a full map of the smart factory in your head using intuitive drawings and diagrams, just like assembling Lego blocks.

This video shows effective ways to link internal company data to sLM, and practical solutions for various issues from sLM adoption.

How to Build an Efficient Startup Workflow System with Just Notion 🧑🏻‍💻 (Practical Workflow Templates Provided by Practitioners)

Simple tutorials alone make it difficult to apply in practice. I will clearly pass on my professional know-how, covering complex state management and multi-agent design methods.

"AI will not replace people. People who master AI will replace those who rely on it." In the era of AI, where creating results has become easier than ever, human thinking and problem-solving skills are becoming even more critical. Jae-sung Kim, a former McKinsey consultant, will guide you step-by-step through advanced problem-solving skills using AI, powerful research strategies, and persuasion techniques to turn your results into reality.