With a single request to AI, you can automate an entire business task from start to finish—from compiling multiple files in various formats and organizing data to automatically generating documents and quotations and converting them to PDF,

Are you still using Google Sheets simply like Excel? If you use Google Sheets properly, you can significantly reduce the time spent on collecting data through copy-pasting, getting confused by the latest files, and fixing formula errors. Try automatically operating reports and dashboards that are always up-to-date based on real-time data connections.

This is a course that allows you to quickly learn the essential Excel tasks that office workers must encounter, using the latest features.

Excel automation is possible without uploading company data? Revealing AI secrets that maintain security while reducing work hours!

This is a practical lecture designed for passing the ITQ Excel Grade A exam in a short period. You will master the four-step process—from data entry to pivot tables and charts—and learn time-saving skills to finish with 15 minutes remaining in the 60-minute exam. Rather than rote memorization, you will understand functions through intuitive pattern matching and complete your Excel skills to be immediately applicable in real-world tasks.

Learn Macro VBA with Excel 2019!! However, you can also practice with 2016 and 2013 versions. Macros and VBA fill in the gaps that Excel alone lacks.

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.

I will show you how to use Excel effectively in your work and how to create data that is easy to analyze.

AI Excel that automates perfectly for your tasks without any company security concerns. From data preprocessing to visualization, everything is OK in just a few minutes—without any coding knowledge!

A class on analyzing customer/sales data with Excel, even without R or Python!

Even if you don't know coding, you can read data—everything about no-code AI analysis that makes work sense explode! From marketing to HR and quality management—we'll make your work sense explode with AI.

This course is a practical, hands-on guide to automating repetitive tasks and maximizing work productivity using ChatGPT and Python. You will learn step-by-step how to use AI to automate daily repetitive tasks such as Excel work, report writing, sending emails, and data organization. Starting as a non-developer myself, I have taught AI automation to thousands of students, and I have compiled only the methods that can be used immediately in actual business environments. This course focuses not on complex theories, but on **"automation techniques you can use right today."** 👉 The goal is to turn ChatGPT into more than just a tool, but into **your own personal work assistant (Jarvis)**.

This is a practical introductory course designed to help general office workers utilize generative AI as a business partner rather than just a simple tool. The objective is to develop the ability to use AI safely while complying with security and copyright standards, based on an accurate understanding of its operating principles and limitations. From the core principles of prompt engineering to streamlining text-based tasks such as planning, reporting, emailing, and minutes-taking, as well as Excel data analysis and the use of images and PDF documents, students will learn step-by-step. This helps drastically reduce time spent on repetitive tasks and secures the practical capability to handle multiple roles. Beyond individual use, the course covers how to build team-level work templates and standards. It is an action-oriented curriculum designed to ensure that participants possess work automation assets that can be applied immediately to their jobs after completion, leading to productivity improvements across the entire organization.

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

Do you want to create your own blog and social media content, but find Figma difficult and design overwhelming? In this course, you will learn everything from Figma's basic interface and frames to handling images, text, shapes, and effects step-by-step by creating actual content. You will produce blog covers, thumbnails, CTA elements, and digital business cards. Furthermore, you will complete reusable content templates using Components, Auto Layout, Properties, and Variants, allowing for quick edits even when text and images change. Go beyond simply creating a single pretty image—build your own content production system that can be used consistently for your blog and social media. Point 1. Master Figma basics through actual content creation - Learn core functions such as frames, layers, images, text, and shapes through practice-oriented lessons. - Understand the Figma workflow by directly creating blog covers and thumbnails. - Even non-designers can naturally acquire basic skills while completing their own projects. Point 2. Create content templates that allow for repetitive edits - Learn the core principles of Components, Auto Layout, Properties, and Variants. - Create thumbnails and CTA elements where text, colors, and images can be swapped quickly. - Minimize the time spent starting from scratch every time you create content. Point 3. Build your own content pipeline - Create design assets that can be utilized across multiple channels like blogs and Instagram. - Establish a consistent channel image by registering color, text, and effect styles. - Complete a foundation for sustainable content production by repeatedly utilizing the templates you built yourself.

Even complete beginners who don't know anything about Excel are OK! Just follow the lectures and you can get an A grade in ITQ Excel.

Are you wondering which tool to use for data analysis? Get started easily with Excel!

ChatGPT-aided Python for Programming Dropouts.

Even complex data becomes clear at a glance with Tableau! From a single drag to a finished dashboard, master data visualization for real-world business.

From analyzing the encryption mechanisms of ZIP, PDF, and MS Office files to hands-on dissection of the WannaCry ransomware, master static analysis tools and GPU-accelerated cracking techniques. This is a practical, security engineering-focused course that builds incident response capabilities through the development of next-generation malware analysis pipelines using OpenAI Codex and automated report generation.