I'm going to turn my dad, who doesn't even know Claude exists, into an AI NATIVE in the shortest time possible.

I used to spend hours writing blog posts too. I wasn't good at writing, and it would take me 30 minutes just to come up with a title and an hour to create a thumbnail. When I factored in writing social media posts, it sometimes took half a day to complete a single article. I was good at speaking, but struggled to organize my thoughts into writing. While I enjoyed audio content creation, the task of turning it into blog posts felt daunting, so I always put it off. But everything changed after I started using Google Opal. Simply by uploading an audio file, the blog content, title, thumbnail, and social media posts are all automatically generated. Moreover, by having it reference my own writing rules, it generates text that feels authentically "me" and not "AI-like." In this course, you'll be able to create the same workflow I actually use, taking the shortest route possible. No programming experience required. You can create AI apps just by giving instructions in Japanese. Even if you don't do audio content creation, that's fine. Just talk about a blog topic that comes to mind on the spot, and your article will be complete. You no longer need to spend hours agonizing over writing. Just speak, and your blog post, thumbnail, and social media posts are complete. That future starts today.

This course covers work automation using MCP (Model Context Protocol) via diverse case studies: Playwright crawling, Figma design, Notion data organization, Excel data analysis.

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!"

From basic AI research with Perplexity to completing full strategy reports! A practical business automation class proven by results: finish your work in just 10 minutes.

The capabilities of AI can expand infinitely depending on how you write your prompts. The benefits gained from collaborating with AI depend on the clarity of your questions and whether you provide sufficient background information. Now, please make full use of GPTs to perform efficient and purpose-driven tasks.

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

Mastering ChatGPT: AI Use for Beginners - From Prompting to Content Creation and Programming

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

If you want to properly learn OCR technology that's truly used in practice, this one course is all you need! Aiming for over 98% accuracy even with unstructured documents and complex layouts, based on the latest SOTA models and real-world know-how, we build enterprise-level OCR projects together.

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

How long are you going to manually look through 2,500 stocks every day? Searching through Naver Finance to find surging stocks after the market closes, Reading news to judge whether it's good or bad news, Checking foreign/institutional supply and demand one by one, Opening charts to analyze patterns... Aren't you repeating this every single day? I used to do that too. I spent 2 to 3 hours after work analyzing stocks, and yet I still missed more stocks than I found. With over 2,500 stocks across KOSPI and KOSDAQ combined, it's impossible for a human to see them all every day. --- So, I built a system. I created a system that automatically analyzes 2,500 stocks every day after the market closes. - Automatically collects market prices, supply/demand, and news - AI (Gemini) reads the news and determines if it's positive or negative - Scores stocks out of 15 points based on 6 factors - Selects only the stocks that pass the criteria and calculates entry, stop-loss, and take-profit prices - Sends notifications via Telegram Now, I just check my phone after work. Additionally, every Saturday, the system analyzes its own performance from the past week and automatically adjusts stop-loss lines, take-profit lines, and holding periods. It is a structure where the system learns and improves on its own. --- But I am not a developer. I didn't write the code for this system myself. I gave all the instructions to the AI verbally. "Filter out stocks that rose more than 5% today with a trading volume exceeding 50 billion won." "Send these 3 news articles to Gemini and have it judge if they are positive." "Create a scheduler so this runs automatically every day at 4 PM." When I speak like this, the AI (Claude) generates the code. This is "Vibe Coding." --- In this course, we will build this exact system. Over 58 lessons, we will build the system I actually use every day from start to finish. Starting from data collection, AI news analysis, scoring engine, signal generation, Flask API server, Next.js web dashboard, Telegram automatic notifications, and even the self-learning system. The final product is not a Jupyter Notebook. The final product is a web dashboard and Telegram notifications that actually run every day. You don't need to know how to code. In every lesson, I will show you how to talk to Claude, and if you follow along, you will get the same results. --- Recommended for: - Office worker investors who lack the time to analyze stocks every day - Those who want an automated system but don't know how to code - Those curious about quant/system trading but don't know where to start - Those curious about how to utilize AI in practice --- ⚠️ This course does not guarantee investment returns. This is a programming course on building your own stock analysis tools. Actual investment decisions are the responsibility of the student.

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.

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

We invite you to the fascinating world of coding where you analyze and visualize financial statements using only prompts. Without a single line of code, you create and deploy a service in consultation with AI.

AI, the Key to Opening the World of Statistics "AI, by enabling easy mastery of complex statistical principles and analysis techniques, uncovers hidden meanings in data and provides insights for better decision-making. AI is now beyond a complex statistical calculator; it is a companion supporting statistical thinking."

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."

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.

The era of creating designs one by one is over. Experience the speed of turning "thoughts" into "results" with Canva AI.

This lecture teaches how to generate images using DALL-E3 (DALL-E). Through basic functions, a 3-step prompt strategy, and hands-on image generation practice, participants can become creative image creators.

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!