Dabbling in Python with copilot (crawling, data visualization)

We solve problems that are difficult to answer with practical research experience and proven prompts.

Stop getting student-record planning. I’ll reveal the entire consulting playbook used by a college admissions consultant with 30 years of experience.

Learn the core features of Google Workspace Gemini that you can use immediately in your work—not AI coding or agent development—in just 3 hours. Without complicated hands-on exercises, you’ll gain a broad but shallow understanding of AI-powered workflow automation and productivity improvement through easy, image-based explanations.

Have you ever wished you had Iron Man’s perfect assistant, JARVIS, too…?! Create JARVIS for everyone to help you work smarter!

Learn how to maximize all-around work efficiency—from planning and research to marketing automation—by leveraging Google Gemini and the Google AI ecosystem (Gems, NotebookLM, etc.). Go beyond simple information searches and text compilation to organically master practical prompt optimization techniques, image, video, and background music creation, as well as sophisticated deep research skills.

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!

"Simply knowing technology well does not make you a good sales engineer." Understanding customers’ problems, connecting technology to business value, and exerting influence between sales and development are the core responsibilities of a sales engineer. In this course, drawing on more than 20 years of B2B software presales experience, I will systematically share practical know-how on customer meetings, requirements analysis, demos, PoCs, proposal strategies, and internal collaboration. Learn the work frameworks and mindset of a sales engineer that you can apply immediately in practice.

We understand the essence of the job market through concepts from economics and statistics, and use this foundation to redesign job-search and career-change strategies as a data-driven probability problem rather than relying on intuition or competing over credentials. Instead of accumulating more qualifications, we shift the game to a rational “market” by directly collecting and analyzing job-posting and company data with AI to identify markets and openings where the likelihood of success is high. By using AI as a tool built on core concepts from economics and statistics, we systematize application, interview, and job-search strategies, presenting a way to develop a data-driven approach to employment that even non-majors can understand. We also directly build a recruitment AI assistant that works 24 hours a day exclusively for me—using AI-based vibe coding accessible even to non-majors—which can be used immediately as a portfolio project in actual job preparation.

Learn AI utilization methods and performance improvement strategies tailored to real-world business situations. (i.e., you won't learn things like automatic short-form video generation.) This is a practical course where you learn to leverage AI not merely as a tool, but as an ultimate instrument for business efficiency. By utilizing various generative AI and the latest AI agents such as ChatGPT, Gemini, NotebookLM, Gesnpark, Skywork, etc., you will master AI prompt utilization → AI data analysis → and AI task automation implementation, all at once. This class is optimized for planners, marketers, managers, founders, and others who wish to acquire business productivity and performance enhancement strategies directly applicable to their work.

Python + xlwings Work Automation Course Summary 1. Basic Section: Excel Control Fundamentals Cell Handling / Format Application / Image & Chart Insertion 2. Application Section: Automation Scenarios Automatic Email Sending / Report Summary Automation (LLM) / Image Classification Tasks (Teachable Machine)

If you receive stock recommendations from AI and leave the timing of buying and selling to it, will you actually make a profit? AI is not a prophetic tool that predicts future stock prices. Instead, it can be a powerful investment assistant that checks the emotions swaying your investment decisions, analyzes complex information, and helps you stick to long-term investment principles. In this course, you will understand the typical behavioral errors of individual investors—such as loss aversion, panic selling, and FOMO—and learn how to create unwavering investment criteria using AI prompts and investment analysis tools. From back-calculating target assets to portfolio design, utilizing tax-saving accounts, and setting up automated recurring purchases, complete your own AI investment system that even busy office workers can consistently execute. Point 1. Understand the limits of AI investment and use it properly Understand through data why AI is not suitable for stock recommendations and predicting trade timing Utilize AI in areas it excels at, such as earnings call analysis, ETF overlap diagnosis, and portfolio reviews Learn how to review counter-scenarios and risk factors so you don't just believe optimistic answers Point 2. Correct the malfunctions that sway investment psychology Diagnose recurring investment behavior patterns such as loss aversion, the disposition effect, panic selling, and FOMO Practice the 72-hour rule to reduce impulsive trading and routines for formalizing selling conditions Design AI prompts that help maintain long-term investment principles despite market volatility Point 3. Create a long-term investment system that sustains itself automatically Design a recurring investment plan and portfolio based on target assets and investment periods Review investment strategies through Monte Carlo analysis and tax-saving account simulations Complete an investment structure that executes without constant deliberation by setting up automated purchases and cash buffers

Even people who know nothing about coding will be able to give AI commands in Korean and create their own automated stock trading program!

Learn how to structure diverse data—including students’ grades, school records, and areas of interest—using the AI-SPARS tool, and leverage an LLM to design everything from major exploration and college/admissions strategies to personalized roadmaps. Rather than simple Q&A, you can immediately apply in practice a systematic AX-style career and college counseling process that progresses from Profile-Interview-Major-College-Admissions Track-Gap-Roadmap-Smart Report-Portfolio.

Acquiring probability theory is essential in the study of AI and machine learning. I recommend this to those who wish to study probability theory in more depth.

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!

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!

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

Are you still coding alone? We are now in an era where AI handles 99% of the work. Instead of memorizing complex syntax, this course teaches you how to turn Google's powerful AI, 'Gemini Pro,' into your 24-hour AI development partner. You will learn the fundamental principles of Flutter using the paid Gemini Pro model for free and turn your ideas into reality through professional-level projects.

Mastering difficult AI with just one single analogy?! A first step into AI principles, understanding through core concepts rather than just terminology.

Your AI is no longer in the cloud. It runs directly on your laptop. Learn how to build a completely local Private AI environment using LM Studio and Ollama—for everything from data processing and document analysis to code generation. With no security concerns, no costs, and greater speed— move from simply “using” AI to “putting it to work” yourself.