Claude for Non-Developer Professionals (Cowork + N8N + Claude Design)

No coding skills? No problem! Turn your ideas into real profit in just 4 weeks. Use AI and the latest tools to build a website and an app simultaneously and launch your service right away.

"I have a backend technical interview in a week, what should I start with?" The secret to answers that make interviewers nod Master the actual answer patterns of Naver, Kakao, Coupang, and Toss successful candidates in just 3 days!

I'm going to teach you the core concepts of Python in 60 minutes! I'm not focusing on blind grammar, but on why and when to use it.

In a world where every resume looks the same, "differentiation" is what gets you hired. Over the course of 6 weeks, learn 4 practical resume strategies delivered directly by an active backend professional.

With step-by-step explanations that even beginners can easily understand, the once-vague coding tests will become clear. Learn only what you need and apply it to real-world practice right away!

AI is no longer a choice, but a matter of survival. Shorten development tasks that used to take 3 days down to 30 minutes; leave repetitive tasks to AI and focus on solving more important problems. Through AI-native development methods that are practical rather than theoretical, we will show you the definitive way to be recognized as an "AI-savvy developer" at your company.

You've probably written SQL using JdbcTemplate before, right? Everyone has likely had that experience of sighing while having to fix both the SQL and the RowMapper every time a single column changes. This course starts from that very pain. Doing a single SELECT with pure JDBC takes 35 lines. You open a Connection, create a PreparedStatement, iterate through the ResultSet, and if you miss a single close(), the server crashes. After typing through this hell yourself, when you finally encounter a single line of JPA's save(), you'll feel "this is why we use JPA" not just in your head, but in your hands.

This is an introductory backend development course where you learn through understanding rather than memorization, and experience rather than theory. Instead of reciting a Googled definition when asked "What is JPA?" in an interview, this course will empower you to give an answer based on experience, starting with "Well, I've been through JdbcTemplate hell..." You will gain a deep, intuitive understanding of "why we use frameworks" by experiencing firsthand how 30 lines of pure Java ServerSocket code shrink down to just 7 lines in Spring Boot. After 6 sessions, you will walk away with a functional portfolio piece: a Todo List REST API built with Spring Boot + JPA.

We live in an era where AI can generate 10 files at once. However, if you can't track where the code changed, if it conflicts with your teammates' work, or if you don't know how to revert it—your productivity will suffer no matter how well you use AI. This course isn't just a list of commands like git add and git commit. It provides a visual understanding of the principles behind safely managing AI-generated code and merging it with your team's work. In just two hours, you will transform into a developer who can freely track, revert, and merge any code, whether it was created by AI or written by yourself.

If you ask an AI to "get the top 10 sales," it will whip up a plausible-looking query in no time. However, to determine if that query is actually correct, if the results of joining three tables are accurate, or if it's performing a full scan on 500,000 records without an index—you ultimately need a foundation in DB basics. This course doesn't cover anything overly difficult. In just 2 hours, you will learn the entire flow of SQL by coding along, covering exactly what you need to know before giving instructions to an AI. By the end of this lecture, you will no longer feel uneasy when faced with a query generated by AI.

3 projects that compress 20 carefully selected concepts will build 80% of your n8n skills.

This is a practical course that uses Codex to connect business planning, website creation, marketing materials, task organization, and email automation. Even if you are not a developer, you will learn how to delegate tasks to AI and refine the results using Notion, Linear, Figma, and Google Workspace in an actual workflow sequence.

Workplace innovation completed with Google Workspace, Gemini, and NotebookLM! This is a practical course that takes you step-by-step from setting up the Google environment to utilizing Gemini, advanced search, managing notes/tasks/schedules, using Drive and Photos, collaborating via Gmail/Meet/Chat, working with Docs/Sheets/Slides, creating images and videos, building forms and sites, analyzing data based on NotebookLM, and automating tasks using Colab and Apps Script. Rather than a simple introduction of features, it is structured around hands-on practice—such as searching, drafting documents, organizing data, creating presentation materials, receiving applications, building rulebook chatbots, registering schedules, and automatically generating surveys—so that it can be applied immediately to real-world business scenarios. 🚀 Key Course Points 1. Integrated Smart Work Connecting the Google Ecosystem as One Google allows you to organically connect and use search, email, calendar, documents, drive, and collaboration tools with a single account. This course helps you master this connection structure centered on workflow. 2. Immediate AI Practical Application and Automation It covers everything from document writing, summarization, chatbot configuration, schedule generation, survey creation, and email automation using Gemini, enabling you to transform repetitive tasks into actual business automation. 3. Data-Based Analysis and Highly Reliable Business Application By using NotebookLM to find answers only within uploaded sources and performing summarization, analysis, learning, and report writing based on citations, it enhances the reliability of your practical work. "Add AI wings to the Google ecosystem." Now, leave the complex tasks to AI agents and focus on more valuable decision-making.

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.

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

A lecture on practical blog operation using AI tools, condensed from 20 months of experience! It offers step-by-step utilization methods from topic selection to content creation with Perplexity, ChatGPT, and Midjourney.

Learn how to dramatically boost work productivity by automating the most frequently used MS Office tasks in your work using chatGPT.

You can automate repetitive and tedious tasks using GPTs. Even non-developers can automate more complex tasks with GPTs by linking various external automation services!

Learn how to utilize various local LLMs (Qwen, Gemma) and explore different techniques to efficiently evaluate and improve the performance of LLM systems.

Adding Copilot to MS Office? The perfect guide to maximizing work productivity! We provide a systematic learning process for effectively utilizing M365 Copilot in practice.

Do you want to automate repetitive tasks with AI without using paid tools? I will share the practical know-how I gained from building systems myself using n8n and Llama. This is not a lecture where you simply learn "how to connect nodes." We will build actual workflows that you can use immediately, such as automatic Google Sheets organization, YouTube subtitle collection, AI fact-checking, and schedule management.

Simply chatting with AI services is not enough. True productivity innovation begins with "automation workflows" where AI summarizes news, writes reports, and categorizes data even while you sleep. This course covers everything about n8n, the most powerful tool that helps even non-developers who don't know coding to automate complex tasks using only drag-and-drop.

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.

Sensational video content created with just a single line of text! A quick and easy introduction to SNS content creation starting with Kling AI

This course is a specialized program that covers practical application strategies for utilizing artificial intelligence (AI) in the construction and civil engineering fields. In the construction industry where digital transformation is accelerating, AI is driving innovation across design, construction, safety, and quality management. This course focuses on learning practical application cases that can be utilized in actual field sites, including smart construction, digital twins, AI-based equipment control, safety monitoring, and quality verification.

This course covers how to leverage AI in the food and pharmaceutical manufacturing industry to enhance productivity and quality. Through real-world case studies, you'll learn how AI is applied in key stages such as raw material management, production processes, quality inspection, and regulatory compliance, while understanding defect rate reduction and efficient operational strategies. Through this course, learners will master ▲characteristics of the food and pharmaceutical industry and the necessity of AI adoption ▲data-driven quality management ▲predictive maintenance and equipment optimization ▲regulatory compliance monitoring and risk management ▲analysis of domestic and international implementation cases, gaining strategies and insights that can be immediately applied in the field.

One of the greatest challenges I felt while working in HRD at a human resources development center for 12 years was that while I had plenty of ideas, the coding barrier to implementing them was simply too high. This course starts from that very point. The goal of this course is to help HRD professionals implement their own ideas without having to become developers. This is a practical, vibe-coding-based course designed for those in HR, HRD, General Affairs (GA), and Organizational Culture. We will build the services you want using only free features, without the need for paid services.

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!

Digital transformation (DX) is not a choice but a necessity. This course serves as the first step in digital transformation for all employees, providing easy and clear explanations from core DX concepts to business innovation cases. Don't fall behind in this changing era—develop the power to grow yourself and lead organizational innovation! Please don't overthink this lecture and take it with a light heart.

Build a Saju (Four Pillars of Destiny) analysis AI agent that integrates Manseryeok, Astrology, Zi Wei Dou Shu, Onomancy (Name Study), and MBTI using n8n workflows and Python algorithms. We will complete a production-level service system from start to finish where 13 specialized agents collaborate to generate professional-grade Saju reports.