Mastering Claude AI: From Prompts and Artifacts to Design and Project Utilization

This is a practical, hands-on course where you will learn the principles of AI Agents—going beyond simple chatbots that just answer questions to systems that can perceive situations, make judgments, and control actual systems. The curriculum is structured to provide a step-by-step understanding, starting from the differences between AI Agents and chatbots to the core Agent Loop structure: Sense-Think-Act, state management, planning, and feedback loops. Moving beyond theory, you will set up Windows and Linux development environments and gain hands-on experience with the basic structure of Kubernetes and kubectl commands. Following this, you will implement a process where an AI Agent detects server issues, analyzes the causes, and automatically resolves errors. Finally, by directly analyzing the Python code and internal logic of the Agent controlling Kubernetes, you will understand how AI Agents connect to and operate within real-world systems. From developers new to AI Agents to those who want to design Multi-Agents that control actual systems, this course allows you to learn both the principles and the practical implementation process of Agents.

Claude Code is rapidly growing as one of the most powerful AI coding agents available today. However, simply installing Claude Code is not enough to maximize productivity. To truly utilize Claude Code effectively, you must understand advanced features such as context management, memory systems, skills, subagents, and agent teams. In this course, we will learn step-by-step, starting from the installation and initial setup of Claude Code to advanced workflows used in real-world practice. Students will learn how to integrate Claude Code with VS Code and how to select and utilize various models. Furthermore, you will master how to perform complex development tasks efficiently using Context Engineering, Memory management, Skills, Subagents, and Agent Teams. After the course, you will be able to use Claude Code not just as a simple AI chatbot, but as an AI development partner that genuinely boosts development productivity. Based on real-world experience in AI development and software projects, the instructor explains how to apply Claude Code to practical work and helps students solve common issues such as context management problems, token waste, and inefficient prompt writing.

This is a practical, step-by-step course designed to help everyone from beginners using Google Gemini for the first time to professionals looking to actively integrate it into their workflow. Rather than simply introducing features, the course focuses on real-world scenarios to help learners overcome challenges in prompt engineering, research, document writing, and content creation. You will learn how to effectively utilize AI in both work and daily life through a step-by-step journey—from Gemini's basic functions to Google Workspace integration, Gem customization, Google Labs, and NotebookLM. The curriculum is systematically structured from basic concepts to practical applications so that even those new to AI can easily follow along. It also covers methods for safe AI usage, including information verification and privacy protection.

This course is designed to help learners build solid AWS cloud engineering and architecture skills through hands-on projects and practical demonstrations. Students will learn how to build secure AWS environments, manage scalable computing infrastructure using EC2 and Auto Scaling, configure networking via VPC and Load Balancers, and implement cloud-native storage and database solutions using S3, Aurora, and MySQL. Throughout the course, I will guide students step-by-step using hands-on labs, architectural explanations, and real-world deployment scenarios commonly used in modern cloud environments. I focus on simplifying complex AWS concepts into easy-to-understand lessons while helping students avoid common mistakes made during cloud deployment, security configuration, and infrastructure scaling. By the end of this course, students will not only gain the confidence to design secure, scalable, and cost-effective solutions on AWS but will also be prepared for the AWS Solutions Architect Associate certification exam.

This course is designed for developers, DevOps engineers, cloud engineers, and IT professionals who want to master advanced Kubernetes concepts used in real-world production environments. Throughout the course, students will engage in hands-on projects and real-world deployment scenarios, learning how to build secure, scalable, and production-ready Kubernetes infrastructure. Rather than focusing solely on theory, this course emphasizes practical implementation, troubleshooting, and best practices utilized by modern DevOps teams. One of the biggest challenges students face when learning Kubernetes is understanding how all components interact within large-scale environments. Many learners struggle with topics such as RBAC permissions, persistent storage, namespaces, network policies, StatefulSets, Kustomize, and secure cloud deployments. This course addresses these issues step-by-step through clear explanations, guided labs, and examples that mirror actual production environments. Students will learn step-by-step how to organize Kubernetes resources, secure workloads, manage application configurations, deploy stateful applications like MongoDB, and automate multi-environment deployments using Kustomize. Additionally, the course covers how to deploy applications to Google Kubernetes Engine (GKE) and configure Ingress, TLS certificates, monitoring, and scaling strategies. By the end of this course, students will have the confidence to design, secure, deploy, and manage advanced Kubernetes environments used in professional DevOps and cloud engineering workflows.

This course is designed for developers, AI enthusiasts, and professionals who want to develop real-world AI applications using LangChain, OpenAI, Hugging Face, and Python. Rather than focusing solely on theory, this course takes a practical, project-oriented approach. Throughout the course, students will directly build a total of 15 high-quality AI applications, including chatbots, CSV analysis tools, resume screening systems, invoice extraction bots, support assistants, marketing tools, and text-to-SQL applications. I created this course to make complex AI concepts easy to understand and to ensure modern LLM development is accessible to everyone. Many learners struggle to understand how tools like LangChain, embeddings, memory systems, vector databases, and AI agents interact in real-world applications. This course guides you step-by-step through clear explanations, hands-on coding sessions, and actual implementation workflows. By the end of the course, students will confidently understand how to design, build, and deploy AI-powered applications using the latest generative AI technologies.

While studying Spring Security, you've probably wondered at least once: "I've built the login, but how do I handle authorization?" "How are authentication and authorization implemented in real-world practice?" This course is a practical, project-oriented lecture designed to solve those exact concerns. Instead of just explaining concepts, we implement them exactly as they are used in real services by: 👉 Building on an actual TodoApp project 👉 Integrating with a database 👉 Managing user permissions 👉 Handling validation In particular, I will provide easy, step-by-step explanations for the parts many students find difficult: Method-level authorization Access control within templates Validation using regular expressions Through this course, I will help you confidently say, 👉 "I can actually use Spring Security." 🚀

This course goes beyond simple grammar explanations and focuses on developing C++ programming skills that can be applied immediately in the field. Throughout my teaching, I have directly addressed common challenges faced by many learners—such as struggling to understand the STL or feeling confused by file handling and exception handling concepts. Based on this experience, I provide step-by-step explanations to ensure even complex concepts are understood easily and clearly. Furthermore, this course is not just about delivering theory; it is structured around: 👉 "Why this concept is necessary" 👉 "How it is used in actual code" 👉 "How it is applied in professional practice"

This course is designed to help even those new to MySQL understand it easily, starting from the basic concepts of DBMS and progressing step-by-step to the ability to write SQL that can be applied in real-world practice. To solve the problems learners frequently encounter (e.g., SQL syntax is difficult, not knowing how to write queries, or not understanding the flow of data processing), the course is structured with repetitive theory and practice, helping you naturally build your skills through a hands-on approach. In particular, the focus is not on simple memorization of syntax, but on understanding "why it is written this way" through the process of handling actual data.

This course is designed for those who want to go beyond simple AI chatting and actually get work done using AI agents. Many students are already using ChatGPT or Claude, yet they still struggle with repetitive tasks, scattered workflows, excessive research, and low productivity. The problem usually doesn't lie with the AI itself, but in knowing how to organize work systematically, give clear instructions, and build reliable workflows. In this course, we provide a step-by-step guide on the practical application of Claude Cowork. Rather than focusing solely on theory, we practice through practical examples such as project management, browser automation, meeting preparation, persistent memory systems, skills, plugins, and desktop control. This course explains everything in a simple and practical way so that even beginners can easily follow along. By the end of the course, students will understand how to utilize Claude Cowork as a true productivity assistant for research, planning, organization, automation, and daily tasks.

This course explains everything from the basics of MySQL to its practical application in a step-by-step manner, making it easy to understand even for those learning databases for the first time. Rather than just providing simple theoretical explanations, the course focuses on real-world problem scenarios and teaches you how to write SQL and handle data through hands-on practice. The curriculum is systematically structured to cover the entire process, from DBMS concepts to MySQL installation, basic SQL syntax, data manipulation, and the use of functions. In particular, the goal is to help you understand "why it is written this way" through repetitive practice and to develop the ability to write queries on your own.

This course is a practical, hands-on guide for those who want to learn how to maximize development productivity in the AI era. Beyond simply learning how to use AI, we focus on how to utilize Claude Code in a real-world development environment and how to produce "proper results." Many developers use AI but still face issues such as: ❌ Inconsistent results ❌ Poor code quality ❌ Increasing project complexity To solve these problems, this course teaches you how to utilize AI as a "development partner" rather than just a tool through: ✔ Spec-based workflows ✔ Structured command systems ✔ Sub-agent and automation strategies Furthermore, you will gain the experience of completing and deploying a full application from start to finish by integrating with real-world services such as Firebase, Figma, GitHub, and Vercel.

This is an introductory course designed for those learning Rust for the first time, structured to help you learn step-by-step from the basics. Many learners encountering Rust for the first time often find it difficult due to: - Unfamiliar syntax - The burden of memory concepts - Differences from existing languages (C/C++) To solve these problems, this course helps anyone understand Rust naturally through: 👉 Easy explanations 👉 Step-by-step curriculum 👉 Repetitive practical examples Rust is a modern systems programming language that offers both safety and performance, making it a very important technology in the future development landscape. Build a solid foundation of Rust's core basics through this course.

This course is a practical, hands-on guide to automating repetitive tasks and maximizing work productivity using ChatGPT and Python. You will learn step-by-step how to use AI to automate daily repetitive tasks such as Excel work, report writing, sending emails, and data organization. Starting as a non-developer myself, I have taught AI automation to thousands of students, and I have compiled only the methods that can be used immediately in actual business environments. This course focuses not on complex theories, but on **"automation techniques you can use right today."** 👉 The goal is to turn ChatGPT into more than just a tool, but into **your own personal work assistant (Jarvis)**.

Microsoft 365 helps you work smarter and focus your remaining time on what truly matters. This is a beginner's course for those who have received their Microsoft 365 ID and password from their company but feel overwhelmed about where and how to start. A journey of a thousand miles begins with a single step!

This course consists of a curriculum designed to achieve overwhelming efficiency in various fields such as planning, development, marketing, and job preparation by utilizing 'Perplexity AI,' an AI answer engine that goes beyond the limitations of traditional search engines.

Evolve Obsidian from a simple notepad into a personal knowledge database and build an AI assistant that understands your notes and documents using Claude Code. Create custom workflows to automate repetitive tasks and complete a knowledge system where daily work and learning compound and transform into your own unique expertise.

Recording is not just a note; it is a tool for organizing life's priorities. Create your own 6F note system—covering family, work, hobbies, growth, and more—through Obsidian, and experience everything from daily reflection routines to structured work notes. Without any fluff, this contains only the essence of recording and connecting knowledge. From the basics to the practical application of Personal Knowledge Management (PKM), we provide a simple and clear guide.

It's okay if AI feels unfamiliar and difficult to you. In just one week, I will share the entire "trial and error" journey of building everything from a membership landing page to automation and data analysis from scratch using Claude Code. Even if you don't know how to code or are a complete AI beginner, I'll show you through real-world examples so you can take on the challenge yourself.

This course is for those who want to use JIRA to perform team work more efficiently. It explains the basic background knowledge for using JIRA, project creation, management, issue registration/management, and helps you understand the agile project execution lifecycle such as Scrum and Kanban and apply it to actual work.

To help those who want to do well in the new year of 2025, we have updated it to the latest version. Learn how to create and manage projects, teams, and your own tasks using MS Planner and become a "professional worker🤩".

This course introduces how to efficiently manage project schedules using ProjectLibre, a free-to-use open-source tool. As an alternative to MS Project, it allows for more systematic integrated management of schedules, resources, and costs than Excel. Furthermore, because it is similar to MS Project, completing this course will allow you to quickly adapt to MS Project in the future. This course uses a practical, follow-along approach that enables anyone to easily create a real-world project schedule. If you want to enhance your scheduling capabilities and increase the likelihood of project success without any cost burden, be sure to take this course! * Version used: 1.9.8 Windows version

Copilot Chat will become more than just a simple AI assistant - it will be your reliable work secretary that maximizes your productivity and creativity. In this course, learn Copilot Chat's core features and usage methods, practical cases that can be applied immediately to real work, and customized tips tailored to each task, and start experiencing how your way of working changes with Copilot Chat!

Jira is the most suitable 'collaboration' and 'communication' tool for applying Agile techniques within organizations, which have recently become an issue!

Even if you are not a major or a designer, you will learn how to directly create and modify web UIs, proposals, and design systems using Claude Design and Figma. To ensure immediate application in practice, the course proceeds step-by-step with a focus on hands-on practice—covering everything from the differences between Claude Code and Claude Design to installation, plugin utilization, component-based UI production, design modification, and methods for applying them to live services. This lecture is designed to help developers, planners, and marketers who found design tools difficult to experience rapid result-making through AI and component-based workflows.

There are so many stories saying, "Automation is just one click away." However, it's easy to give up when you actually try to apply it to your own work. We have captured the raw record of a team that spent six weeks narrowing the gap between "it works" and "I am using this for my work!"

A first in Korea! This course teaches you how to automate Word documents for business using ChatGPT. You can easily create various questionnaires, business reports, meeting minutes, and contracts, and apply them directly to your work through hands-on practice.

Master prompt engineering perfectly, an essential skill for developers in the AI era.

[Problems This Course Solves] - The limitations of planners who have ideas but cannot build them directly - Inefficient decision-making based on imagination: "Please make it like this" - Bottlenecks caused by requesting and waiting for the development team for every data analysis or API verification - The reality of using AI tools but remaining at the level of simple ChatGPT Q&A [What You Will Learn] 1. Redesigning the Planning Process in the AI Era - Traditional: Planning → Design → Development (Sequential waiting) - Shift: Writing PRD → Generating Prototype → Decision-making based on the actual product → Delivery after confirmation - Moving from planning explained through documents to planning demonstrated through actual products 2. Designing AI Agents for PMs - Harness Engineering: Designing a working structure rather than just asking AI questions - CLAUDE.md, Rules, Hooks, MCP, Plugins — The roles and design principles of each layer - Agent Router: A structure where a single request is automatically assigned to the optimal agent - PGE Pipeline: Planner → Generator → Evaluator, quality control design for large-scale tasks 3. Building Your Own AI Team - Planning/Research, Product, Design, Development, Marketing — 20+ agents across 5 columns - Actual workflows where a solo planner manages a team of experts - Connecting external tools via MCP (Notion, Figma, Slack, data sources) - Automating repetitive tasks with one-command "Skills" 4. Practical Automation of Supplementary Tasks - GA4 + Clarity + GSC + BigQuery → Integrated dashboard + automatic weekly insight generation - Direct calling of in-house APIs → Scenario verification → Quality evaluation reports - BigQuery cohort analysis → Aha Moment hypothesis verification - A/B testing, Notion synchronization, UI/UX audit automation --- Who should take this course: - PM/PO/Service Planners tired of waiting times and review cycles in the planning process - Those who want to properly design AI as a professional work tool - Those who want to make data-driven decisions themselves but lack analysis team resources - Non-developers who want to move past their fear of the "terminal" [Prerequisites] - None. We guide you through everything from installation to setup. - No coding experience required. We focus on design and application from a PM's perspective. [Changes After Taking the Course] - Increase decision-making speed by creating working prototypes directly from a single PRD.md - Design and operate your own team of AI agents - Directly automate data analysis, API verification, and report generation

Experience Google's integrated smart work innovation. Start right now. 1. Gmail: The Center of All Communication Gmail is not just a simple email service. It's a 'communication hub' that organically connects with all of Google's collaboration tools. While checking emails, you can immediately add events to Google Calendar, save received files to Google Drive, and start quick conversations with Google Chat. Its powerful search function instantly finds any past content, ensuring work continuity. - Core Features: Drive file attachment, Calendar event creation, Meet video conference initiation, Chat integration 2. Google Drive: Secure Cloud Storage Google Drive is a secure 'online drawer' that stores and manages all documents, images, and videos. You can access the same files from computers, smartphones, and tablets anywhere, and simply share a single link with colleagues. No more need to compress large files and send them via email. You can set folder-specific access permissions for systematic and secure file management. - Core Features: Cloud file storage, sharing and synchronization, Docs/Sheets/Slides file creation 3. Google Docs: Real-time Collaborative Document Work Google Docs is an innovative word processor that allows multiple people to edit 'one document simultaneously'. You can see in real-time who is editing which part, and complete documents by exchanging opinions through 'comments' and 'suggestions' features. All modifications are automatically saved, and you can return to any previous state through version history, eliminating concerns about document loss. - Core Features: Real-time collaborative editing, comment and suggestion features, version history checking, automatic Drive saving 4. Google Sheets: Creating Data Together Google Sheets is an 'online Excel' that allows complex data analysis and visualization work with team members. From organizing various data to calculations using functions and chart creation, all team members can share and edit the latest data in real-time. When integrated with Google Forms, survey responses are automatically organized in sheets, making data compilation very convenient. - Core Features: Simultaneous data editing and analysis, function and chart features, survey response integration 5. Google Slides: Collaborative Planning Presentations Using Google Slides, you can gather ideas with team members to create 'one complete presentation'. Each person can work on their assigned slide parts simultaneously, and use comment features to give each other feedback to enhance presentation quality. You can easily insert YouTube videos or Google Sheets charts to create rich content presentations. - Core Features: Collaborative presentation creation, YouTube video and Sheets chart insertion 6. Google Meet: Simple Video Conferencing Google Meet is a 'high-quality video conferencing solution' that allows face-to-face meetings with team members anytime, anywhere. When you schedule meetings in Google Calendar, participation links are automatically generated for easy attendee access. Screen sharing features allow discussing presentation materials or work together, enabling efficient collaboration even in remote work environments. - Core Features: Calendar schedule integration, screen sharing, high-quality video and audio support 7. Google Calendar: Team Schedule Sharing and Management Google Calendar is a core tool that goes beyond personal scheduling to 'manage the entire team's time'. You can subscribe to colleagues' calendars to check each other's schedules and easily find available meeting times. When creating events, you can add video conference links (Meet) and attach related documents (Docs) to manage all meeting information in one place. - Core Features: Schedule management and sharing, meeting booking, Meet video conference integration 8. Google Keep: Capturing Fleeting Ideas Google Keep is a 'digital sticky note' that helps you not miss suddenly occurring ideas or simple tasks. It supports not only text but also images and voice memos, and you can create checklists to manage work. Written notes can be easily transferred to Google Docs or Slides, allowing systematic development of ideas. - Core Features: Quick note taking, idea capture, task management, Docs/Slides integration 9. Google Sites: Easy Website Creation No coding knowledge needed. Using Google Sites, you can simply create 'team project websites' or information sharing pages just by dragging and dropping with your mouse. You can easily insert various Google services like Google Drive documents, Calendar, and Maps into web pages to collect and manage all project-related information in one place. - Core Features: Simple website creation, Drive/Calendar/Maps content insertion 10. Google Photos: Memories and Materials in One Place Google Photos goes beyond being a space for storing personal memories to become a 'smart image hub' for sharing and managing team visual materials. You can create shared albums for project progress, event photos, design drafts, etc., and manage them together with team members. Powerful AI search functions allow you to easily find desired images like 'last week's meeting whiteboard photos'. - Core Features: Team shared album creation, AI-based image search, secure cloud backup 11. YouTube: The Most Powerful Visual Resource YouTube is not just a video platform, but a vast 'visual resource library' that can be utilized for work. You can directly insert product demos, educational videos, webinar recordings, etc., into Google Slides or Sites to make presentation materials and team pages richer. Internal training videos can be uploaded as unlisted to safely share only with specific team members. - Core Features: Video insertion into Slides/Sites, private internal training video sharing 12. Google Maps: Location-based Collaboration Google Maps goes beyond navigation to become a 'location-based visualization tool' that adds spatial context to business. Using the 'My Maps' feature, you can customize and share client locations, sales management areas, field survey routes, etc., with team members. When these maps are inserted into Google Sites, all team members can intuitively understand project-related location information. - Core Features: Custom map (My Maps) creation, project-related location visualization, Site integration 13. Google Translate: Breaking Language Barriers Google Translate is a 'reliable communication partner' that breaks down language barriers in an era where global collaboration is essential. You can easily translate emails exchanged with foreign partners and overseas market research materials to speed up work. Particularly, using the translation feature within Google Docs allows you to easily convert entire documents to other languages for efficient multilingual material management. - Core Features: Multilingual document/email translation, global collaboration support, direct in-document translation Now you understand that Google's collaboration tools are not just a collection of simple functions, but one powerful ecosystem organically connected together. Becoming a 'Google utilization expert' means going beyond simply knowing how to use various apps to acquiring problem-solving abilities that innovate work processes themselves through integrated utilization of these tools. Through capabilities to compile data in real-time, lead borderless collaboration, and quickly materialize creative ideas, you can become a 'smart work designer' who performs core roles in any team. Jump onto the Google ecosystem right now and complete your digital collaboration capabilities, the most certain competitive advantage for an unpredictable future!

Have you introduced AI but still find yourself losing time to repetitive tasks? The problem isn't the AI; it's the 'system.' This course guides you through the process of building a team of six AI assistants—including an executive assistant, content assistant, marketing assistant, CRM assistant, and personal productivity assistant—all using Notion AI. Based on my experience automating hundreds of repetitive tasks in real-world business settings, we will build actual workflows from start to finish, covering everything from organizing notes and automatically generating meeting minutes to blog writing, CRM construction, and automated KakaoTalk notifications. After completing this course, you will have a system where your own AI assistant team works automatically, powered solely by a Notion Business plan.

The Computer Literacy Exam (COM-HWAL) written test is no longer difficult! We have summarized only the core points so that anyone can understand them easily. With this lecture, passing in a short period is definitely possible. Start right now!

It covers a wide range of topics, from prompt engineering theory and practical techniques to the latest application cases and security/ethical issues, providing practical assistance to LLM-based service developers, data scientists, and AI planners alike.

Learn the core techniques of 'Prompt Engineering' to get exactly the answers you want from AI. From a complete beginner's first steps to expert practical applications, maximize your AI utilization skills!