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

ChatGPT, which used to only answer questions, now works directly on my computer. I give it instructions in Korean without typing a single line of code and receive the results as files. This six-part series, including the orientation, explains Codex’s workflow of context, planning, execution, and deliverables, then covers everything from safely defining a working folder to organizing files, creating tables with sources, and setting up scheduled executions that run automatically at a specified time.

The starting point for a successful AX (AI Transformation) is not technology, but the leadership's understanding of AI. This course is designed to help executives grasp the overall flow of AI easily and clearly, while covering ways to maximize business productivity through the familiar Google Workspace and Gemini. Moving beyond mere theory, we provide 5-minute hands-on tasks for each session and a 1:1 customized online meeting (30 minutes) with AX Cody to systematically guide your company's tailored AI adoption strategy.

Learn the entire data analysis workflow using ChatGPT, Excel Copilot, and Claude. Through hands-on, step-by-step practice, participants will cover everything from data preparation and preprocessing to exploration, analysis, validation, visualization, report writing, insight generation, and presentation material creation. Planning Background Data analysis involves a series of complex, interconnected tasks, including data collection and cleansing, writing formulas and functions, and creating pivot tables and charts. As a result, practitioners spend a great deal of time preparing and organizing data rather than analyzing it. This course is designed to use generative AI to reduce these repetitive tasks and enable participants to apply data analysis results to real-world decision-making. Market Trends Data analysis using generative AI is expanding from coding-centered analysis to file-based analysis driven by natural language questions. This course covers methods for exploring, analyzing, visualizing, and documenting data using ChatGPT, Excel Copilot, and Claude—without requiring coding skills or knowledge of complex functions. Expected Benefits Reduce the time required for data preprocessing and cleansing. Reduce repetitive formula, pivot table, and chart creation tasks. Enhance natural language-based data analysis skills.

This is a foundational course utilizing GPT Image 2. You will understand the core principles of LLM-based image generation models and learn prompt design methodologies using the latest AI image generation tools. From basic concepts to detailed prompt engineering techniques that can be directly applied to practical tasks, this course will help you master practical AI image generation skills to enhance work productivity.

Understand the difference between Copilots and Agents, and create Agents you can use immediately in your work, such as prompt coaches, translators, and internal regulation Agents. Maximize work efficiency by solving time-consuming problems like repetitive tasks, document organization, and meeting management with customized Agents that even non-experts can build.

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.

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.

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

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.

An AI that understands Korean well, handles long documents, and even carries out real-world tasks—that is exactly the direction Solar Open 2 is aiming for. This class provides an accessible explanation of Upstage’s Solar Open 2 technical report in the order of “Introduction → Design → Training → Evaluation.” Technical terms are explained through everyday analogies and visual materials, enabling even beginners to understand “what,” “how,” and “why” as one coherent flow.

I will tell you the "formula" for creating 챗GPT prompts. If you apply only this formula, good prompts will pour out.

You know about AI agent frameworks, but understanding how they work and applying them in practice can be difficult, right? Drawing on firsthand experience from Silicon Valley, we’ll guide you from the core principles to practical applications.

"Master Excel from the basics to workflow automation in just 25 days. This course is designed to help you become a high-performer by mastering core practical functions like VLOOKUP, Pivot Tables, and Macros to reduce repetitive tasks, while also gaining the skills to create dashboards that visualize data at a glance."

The Gemini agent that works across Google Drive! Put the finishing touches on your Google AI workflow with overwhelming productivity.

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.

< WE CAN ChatGPT ALL-IN-ONE Master Class> #Growth recipes released fresh every week #Step-by-step from the beginning, becoming your AI expert

"Are you still studying with coding books?" A course, rated 5.0/5.0 by MBA and business undergrads at a London management university. You can take AI data analysis lectures from home. Even for humanities-background non-majors: practical data analysis skills immediately usable in the field, plus a data analysis portfolio for job search completion. I am a British Professor (British Professor) teaching data analysis and project classes with ChatGPT, no coding knowledge required.

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.

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.

With the advancement of technology since the Fourth Industrial Revolution, industry boundaries are collapsing and digitalization is accelerating, opening the era of business process automation through RPA software robots. Through UiPath, I hope you can automate repetitive, simple, and complex tasks with one robot per person, allowing individuals to spend their time on higher-value work. Increase the efficiency of digital labor through RPA and implement automation that is free from the constraints of working hours!