n8n and AI Agent Mastery Course: Building Automation, RAG, Business/Trading AI Agents, and Enterprise Workflows

n8n, the open-source AI automation tool chosen by global companies. Start your Agentic Workflow for free, without any coding!

Automate YouTube Shorts creation with AI!! Learn how to automatically create YouTube Shorts using n8n from scratch. We will personally build a workflow that handles everything at once: Text → Image/Music → Video Creation → Uploading. Practice includes distinguishing between test/production modes and tips for saving costs. By the end of the lecture, you will complete 3 automation templates that can be used immediately. We will learn step-by-step, starting from node placement, so you can follow along even without coding knowledge. Join us in automating AI YouTube Shorts production!

A Complete Guide to Building an AI Chatbot System with Langchain and RAG! Provides a systematic learning process for generative AI development technology.

This is a Vibe Coding lecture where you can create a real-world web service using public data and Google AI Studio (free), even with no prior coding experience. We will build a complete service in Korean—including search functions, map integration, and AI analysis reports—using the Public Facility Safety Information API. You will learn the entire development process, from PRD planning to deployment, which can be applied immediately in practice.

Learn how to utilize AI prompts applicable to actual tasks and strategies for organizing an AX (AI Transformation) team. Through a systematic workflow-based approach, you will automate repetitive tasks and complete practical business automation solutions that can be immediately applied to the field.

Can you make PPTs but still worry about time and quality? Boost both your speed and perfection with AI, from planning to design!

Building an 'Intelligent Collaboration' Expert Agent Team Using Spring AI Router Pattern + RAG + MCP Beyond a Single Agent to Architecture: The Standard for Router Patterns and Agent Isolation Design

Learn how to use chatGPT in practice to dramatically increase your work productivity, and apply it directly to your work, from document writing to data analysis!

AI writes on Slack and Notion for me? Work smarter with MCP, which goes beyond the limits of existing AI!

Just make it do it. n8n does the work - Practical workflows to save 1 hour a day with automation tools Get AI tool utilization + prompt engineering + practical automation sense all at once.

Complete Business Innovation with Google Workspace, Gemini, and NotebookLM! This is a practical course that takes you step-by-step through setting up a Google environment, utilizing Gemini, advanced searching, 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 with NotebookLM, and automating tasks using Colab and Apps Script. Rather than a simple introduction to features, the course is centered on hands-on practice that can be immediately applied to real-world work scenarios, such as searching, document drafting, data organization, presentation creation, application processing, rulebook chatbots, schedule registration, and automated survey generation. 🚀 Key Course Points 1. Integrated Smart Work Connecting the Google Ecosystem 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 around your workflow. 2. Immediate AI Application and Automation The course covers document writing, summarization, chatbot configuration, schedule generation, survey creation, and automated email dispatch using Gemini, enabling you to transform repetitive tasks into actual business automation. 3. Data-Based Analysis and Highly Reliable Business Application By utilizing NotebookLM to find answers only within uploaded sources and performing summarization, analysis, learning, and report writing based on citations, you can increase 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.

This course is structured step-by-step, from the basics to practical applications, so that even those new to Claude AI can easily follow along. In this course, you will start with the basic concepts of Claude AI and how to write prompts, and then learn various use cases such as document writing, summarization, translation, brainstorming, and file and image analysis. You will also practice creating documents, charts, diagrams, and simple applications using Claude Artifacts, as well as producing infographics using Claude's design capabilities, editing results, and saving them as PDFs. Finally, we provide productivity-enhancing know-how that can be used immediately in the workplace, including advanced prompt engineering techniques, automating repetitive tasks using the Projects feature, Excel formulas, and coding assistance. The course explains everything through real-world examples so that anyone—from beginners with no AI experience to professionals, students, and content creators looking to improve work efficiency—can learn easily and apply it right away.

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."

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 session is prepared for those who already have some understanding of or experience with automation or n8n. It covers the real-world problems and solutions Selfish Club encountered while building DB and CRM automation using n8n, so we highly recommend it to anyone considering implementing n8n automation but unsure of how to start.

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

In this course, you can master prompt engineering techniques that can be applied immediately in practice using the OpenAI API. You will learn how to simultaneously improve efficiency and productivity in your daily life and work. In particular, we support you in gaining confidence for interviews by automating the creation of customized resumes and cover letters for your desired companies, as well as preparing for mock interviews.

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.

A flexible workflow pipeline that connects information search, analysis, and organization! A practical search-based automation curriculum completed with Felo

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.