How is ChatGPT used in my daily life?

You will systematically learn the principles and practical applications of the latest generative AI technologies, from ChatGPT to image and video generation AI and no-code tools. Through seven core topics, including prompt engineering, Copilot utilization, and AI extensions, you can maximize work efficiency and develop creative problem-solving skills.

You have likely seen many misleading lectures about monetizing AI music. Yes, AI music monetization is possible. It is simply not difficult enough to justify paying expensive tuition, nor is it a way to make easy money. This is an action-oriented course for those who are interested in AI music monetization but feel lost on where to start. Based on my personal experience of creating AI music, organizing albums, distributing tracks, and utilizing YouTube and TikTok, I have structured the workflow—from music generation and album planning to file preparation, distribution, and monetization setup—so you can follow along from the very beginning. This course does not guarantee profits; rather, it is designed to help you experience the entire process of releasing AI music and preparing for monetization from start to finish.

This lecture teaches various business automation methods using ChatGPT (Excel, PPT, crawling, image processing) and Python basics for business automation. Experience in advance the changed future that ChatGPT will create.

1. What is the real 'problem' you are facing? Those who have worked as engineers, researchers, or business writers and have attempted to introduce AI into their workflow usually hit the following fatal walls: The Paradox of 'Volume vs. Value': When you ask a question, plausible-sounding text pours out, but when you try to apply it to actual work, it is useless because the facts are wrong or it lacks depth. The uncontrolled mass production of content ultimately only results in costs such as data bleeding and hallucinations. The Limits of Casual Chatting: The quality of the output depends on 'luck' every time. An AI that was smart yesterday gives nonsensical answers today, and when you force a specific template format, a 'degradation of intelligence' occurs where the model's reasoning ability plummets. Isolation of Knowledge: There is no standardized methodology to convert the experienced 'tacit knowledge' accumulated in the field over decades into 'explicit knowledge assets' that all organization members can copy, paste, and use. Ultimately, many people have downgraded AI to a mere "assistant for light summaries or email drafts," while still suffering through manual labor for critical business tasks such as high-density engineering or strategic planning. 2. How to solve these problems with 40 years of R&D tacit knowledge and systems engineering Throughout my life, I have successfully led projects worth hundreds of billions of won by passing through the rigorous process gates of ultra-precision internal combustion engines and Systems Engineering (MBSE). I have transplanted this engineering intuition directly into prompt design, embedding a paradigm into this course that treats prompts not as simple questions, but as 'system configuration files (Config Files)' that control statistical uncertainty. Through this course, students will acquire the following specific solutions: Introduction of XML-based Structured Architecture: We exclude ambiguous prose prompts and design guardrails to prevent information bleeding and prompt decay through precise XML tags and Markdown fences such as <role>, <task>, <constraints>, and <context>. 7-Step Gate Process Chaining: By borrowing the step-by-step control processes of automotive R&D, you will be able to perfectly command a 7-step chaining workflow—from instruction standby to literature review, critique and self-verification, and final compilation—where the AI verifies its own logic as it progresses. Hybrid Decoupled Pipeline Control: When utilizing the latest reasoning models like o1 or DeepSeek-R1, you will secure the control to preserve 100% of intelligence by handling skeleton code for a 'Reasoning-Formatting Hybrid Decoupled Pipeline' that bypasses the phenomenon of intelligence degradation caused by format constraints. Quantitative ROI Quantification of Business Value: You will master ROI formulas and KPI models to prove validity to C-level executives with figures. For example, when this pipeline is actually built in-house, the average lead time for writing technical white papers or regulatory compliance documents is reduced from 4–6 months to within 10 days (a 93.3% reduction), and more than 65% of research costs are saved as marginal costs.

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.

A revolution in work automation! The meeting of ChatGPT and Google Sheets!

This is a practical Claude application course for AI beginners and non-developers. You will directly create results that can be immediately applied to real-world tasks, such as PPTs, content, YouTube videos, and product detail pages using Claude. Learn how to maximize work productivity using AI without any coding.

Even non-developers and marketers with no coding experience can use “vibe coding” technology to verbally explain their ideas to AI and create practical campaign pages and mockups themselves. This completely eliminates the workflow bottleneck of having to wait a week at a time for feedback and development schedules from the development team after writing a project proposal, enabling them to complete fully functional pages on the spot through conversation alone during meetings. Furthermore, they can easily build survey apps where user responses actually work and are saved, along with integrated databases, then deploy them to real URLs and share them with team members and customers with one click to validate ideas at lightning speed.

<200% ChatGPT Questioning Methods> is a practical content focused on 'How to ask ChatGPT questions to get the desired answers?' In this course, we primarily use the free version of ChatGPT. Depending on the content, we also practice with some paid versions to provide exercises suited to the learner's usage environment. Through this course, learners will learn how to ask effective questions to ChatGPT and, by actively using various extensions, can boost their work applicability.

This course is for those who have ideas but don’t know development or design and feel overwhelmed about where to begin. I wasn’t good at development from the start either. By repeatedly using AI for real work and personal projects, I’ve built things one by one—from “I’ll Take Care of It,” a service that solves everyday problems, and ENGIN, an English-learning app, to AI mini-games and a video production automation system. In this course, I won’t just show you the finished results. Through real screens and production records, I’ll show you how to break an idea down into a size AI can understand, how to decide on the first feature, how to request tasks from AI, and how to personally check and revise what has been created. You don’t need to understand all the code before getting started. You can begin by summarizing the problem you want to solve in one sentence and entrusting AI with one small result. Turn the ideas that have existed only in your head into a visible screen and a working first version you can experience for yourself.

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.

From AI image basics to debuting as an Instagram webtoon artist all at once?! An all-in-one course that connects generation fundamentals with character consistency.

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.

There may be people who have never taken my lecture, but no one has taken it only once. After teaching in person for so long, I have finally had the opportunity to create this online course. Since the commercialization of AI, I have produced and researched countless pieces of AI content. Based on that knowledge and experience, I have built a logical philosophy of my own and organized it into concepts that are easy for anyone to understand. For those who have been generating AI images without considering the underlying concepts, I will instill a proper foundation in you. Once you take this course, you will be able to create any AI image in the future. Have you never created an AI image before? That’s perfectly fine. You don't need any prior experience in AI image generation. By simply learning and practicing through this lecture, you can become an expert in AI content creation.

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.

Apply the latest trends in generative AI directly to your work! The bible of prompt engineering lectures, containing only the essentials.

In this course, you will learn everything from creating to selling LINE stickers from scratch using just an iPad. You will generate ideas with ChatGPT, finalize designs in Canva, and complete the process by registering and selling them on LINE. Even if you can't draw, anyone can achieve a "professional-quality finish" by utilizing AI. This content is perfect for those who want to monetize as a side hustle, those who want to enjoy creativity using AI tools, and parents and children who want to share a new experience together. A key feature of this course is that you can learn creation as if you were "playing with" AI by combining ChatGPT's creativity with Canva's design functions. While having fun, you will naturally acquire the ideation, expression, and digital skills necessary for the AI era. Take the first step toward sharing your work with the world while experiencing the entire flow from "making" to "selling." Why not start a new side hustle, hobby, or family time expanded by AI through LINE sticker production? *This course uses AI tools such as ChatGPT and Canva. The content is provided under the supervision and editing of the instructor. No design experience is necessary! This is a complete guide taught by a 30-year professional on how to generate ideas with ChatGPT, complete designs with Canva, and sell them as LINE stickers. Experience the "make → sell" process with just an iPad and gain side-hustle skills and creativity for the AI era. We offer you a new creative experience that can also be enjoyed as a parent-child project.

In this course, you can master prompt engineering techniques that can be applied immediately in practice using the OpenAI API. You will learn how to simultaneously improve efficiency and productivity in your daily life and work. In particular, we support you in gaining confidence for interviews by automating the creation of customized resumes and cover letters for your desired companies, as well as preparing for mock interviews.

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.

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