[AI Literacy Author-Led Lecture] All-in-One AI Utilization Guide for Every Professional (Full Renewal June 2026)

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

The most rapidly emerging task automation tool recently is 'Claude Code.' Through Claude Code, you can deploy AI agents within your computer that work exclusively for you and create a system where repetitive tasks are assigned to the AI one by one. Try automating 100% of the once-exhausting tasks like PPTs, reports, and Excel work.

Are you tired of repetitive tasks? This one lecture is enough. Combine Make, Apps Script, and AI to build your own business automation system. From souvenir recommendations to receipt OCR processing, this is a practical, hands-on course where you just need to follow along, even if you don't know coding.

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.

A New Framework for Human-AI Collaboration to Amplify Human Thinking How should AI be utilized to maximize the amplification of human capabilities? On this new stage of creativity, what criteria should govern human-AI collaboration? Furthermore, how should jobs and workflows be designed? This course presents a new framework and execution strategies to answer these questions.

We will show you how to use ChatGPT prompts for task automation in the most frequently used areas in practice (files and folders, Excel, PowerPoint, Word, PDF, data analysis), through various practical examples.

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!

[Sustainable AX, and How to Collaborate with AI Colleagues] Have you encountered these limitations while trying to apply AI tools to your practical work? 🙋‍♂️: "Entering commands from scratch every time is actually more of a hassle." 👨‍💻: "I feel fatigued by one-off tasks that just involve repeated copying and pasting." 🤷‍♂️: "Since I don't have development knowledge, I don't even dare to try deeper task automation." What we need right now is not just 'how to use a tool' to learn functions. It is a perspective of nurturing your own AI colleague that understands the context of your work and becomes smarter over time. We transparently reveal a practical AX (AI Transformation) guideline established by a non-developer planner through countless trials and errors in the field.

Understand Transformer-based LLM architectures and GPU utilization strategies, and gain hands-on experience with the actual serving process using vLLM. This course covers the entire practical workflow, from building AI system pipelines to monitoring and multi-GPU utilization, and is designed for intuitive understanding through diagrams and practice without complex formulas.

Build your own AI headquarters at a low cost! This is a practical guide to building autonomous AI agents that combine Gemini 2.5 Flash and Docker to ensure security while reducing costs.

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.

I used to spend hours writing blog posts myself. I wasn't good at writing; it would take me 30 minutes just to come up with a title and an hour to create a thumbnail. When I included the time spent thinking of social media posts, it sometimes took half a day just to complete a single article. Even though I was good at speaking, I struggled to organize those thoughts into writing. I enjoyed audio broadcasting, but the task of turning it into a blog felt like a chore, so I always put it off. However, everything changed once I started using Google Opal. Simply by uploading an audio file, the blog body, title, thumbnail, and social media posts are all automatically generated. What's more, by having it reference my own writing rules, it generates text that sounds like me and doesn't feel "AI-like." In this course, you will be able to build the exact workflow I use through the shortest possible route. No programming experience is required. You can build an AI app just by giving instructions in Japanese. It's okay even if you don't do audio broadcasting. You can complete an article just by speaking about blog ideas as they come to you. You no longer need to struggle for hours to write a piece. Just by speaking, your blog, thumbnail, and social media posts are completed. That future begins today.

This content provides a practical guide for public institutions and non-profit organizations to efficiently utilize generative AI. Starting with the basic principles of collaborating with generative AI, it presents specific application cases such as information summarization, document drafting, and work productivity enhancement in a step-by-step manner, designed so that learners can immediately apply the methods to each situation.

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."

Even if you don't know coding, you can read data - everything about no-code AI analysis that makes perfect sense! If you can use Excel, PPT, and Google Sheets, AI will now handle data analysis for you.

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 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.

Artificial intelligence is no longer an option, but a necessity. Learn to understand and utilize M365 Copilot, the smart AI assistant for your work.

Data analysis is complete with this one tool. Get started with Orange AI data analysis without coding!

"The Era of Coding with AI: A New Productivity Paradigm for Java Developers" This course is a practical Cursor AI utilization guide for Java developers. Beyond simply copying AI-generated code, you'll learn Vibe Coding methods that maximize development efficiency through collaboration with AI. By leveraging Cursor's powerful code understanding, refactoring, and documentation features, you'll master AI coding workflows step by step that can be immediately applied to real-world projects. In an era where AI writes code for us, "developers who can effectively work with AI" now have the competitive edge. Start your upgraded development experience as a Java developer with this course.