(2026 Revised Edition) How to Use ChatGPT, Generative AI Prompt Engineering A to Z - Understanding and Utilizing Artificial Intelligence

HIPS : Human Intelligence Problem Solving, Although AI seems to replace everything, the ability to reframe complex problems and gain insight is uniquely human. We present methods for proactively utilizing AI and exercising uniquely human problem-solving capabilities.

In Financial AI Security (PART 1. Basics), I provided an overview of AI security. Please note that this is a practitioner's training session on the AI inspections required during actual security reviews for penetration testers (Red TEAM). This lecture contains practical content and explains how to perform penetration testing on technical aspects (including checklists). When studying, you may find AI difficult, or you might find that many companies have failed to apply AI guidelines because they are focused on modeling, making reviews challenging. I expect many companies have received various feedback during audits regarding the establishment of AI security governance. This is naturally because there is no clear evidence of AI security within internal operations. Now is the time to establish it. I hope you study AI security and pursue a path as an AI security professional.

Even the same AI gives different answers depending on how you ask. Learn how to use a five-part prompt to create sales-floor messages and consultation materials with AI.

This is a recording of a meetup with CEO Yongho Ha, who has been at the center of the AI evolution—from starting as a first-generation data scientist to achieving two machine learning startup exits and serving on the National AI Strategy Committee. Have you ever felt that the more you use AI, the more unclear your own expertise becomes? We’ve all been there. This anxiety stems from "Workslop" and the technical, cognitive, and intentional debt that accumulates without us even realizing it. This meetup begins by diagnosing the true nature of this anxiety and moves on to practical discussions for working with stability—covering everything from verification skills and structural design to learning methods for building your own criteria for judgment.

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

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.

This course introduces core principles and practical uses of various generative AI technologies (text, images, video, music), helping foster creative problem-solving skills.

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.

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

$0 model fees, infinite visuals completed with NanoBanana All-in-one visual creating for diverse content designs

Are you explaining the same task to AI from scratch every time? A working developer is sharing all the settings they refined over seven months of using AI. Even non-developers can use AI to follow along and build a harness, then actually hand over one of their repetitive tasks to AI.

Create a wide range of design deliverables using ChatGPT Images 2.0, including logos, product photos, mockups, banners, wedding snapshots, wedding invitations, POP displays, menus, and product detail pages. This hands-on course teaches you how to write prompts to achieve the desired results and how to structure reusable templates.

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

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.

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.

Create ads all by yourself in a snap! Visual creative practice: Complete everything from images to videos and music with AI

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

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.

A quick, essential lecture for mastering ChatGPT! Let's learn fast!

The lecture explains why the harness is more important than the model through the lens of Claude Code architecture. It also covers how to design a Claude Code work system around six structures: Context Harness, Permission Harness, Verification Harness, Tool Harness, Subagent & Worktree Harness, and Debugging Harness. It then connects these concepts to CLAUDE.md, session management, controlling large codebases, parallel worktree operations, error log analysis, and tracking environment variable and configuration scope issues, helping you establish practical standards for continuing to use Claude Code in real-world backend and DevOps work.