Creating a Homepage-Style Naver Blog with AI: From Skin Design to Link Integration

👉 A starting point for those who want to properly understand AI for the first time. If you understand what AI does but aren’t quite sure why it works the way it does, this is the course to start with. In this course, we’ll explain step by step, from the beginning, how artificial intelligence differs from traditional programs and how learning and decision-making take place. Without complicated equations or coding, the course is designed to help you understand the big picture of how AI works.

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.

I don’t do everything alone. I hire four AI employees suited to my work as Claude Code subagents and divide the tasks among them: research, writing, review, and organization. I don’t write a single line of code. First, I establish company work rules that all the AI employees must follow and create four employees with different roles. Then I have the employees hand off their work to one another through files, connecting the workflow so that the previous person’s output becomes the next person’s input, and I define review standards to build an asset that eliminates the need to re-explain recurring tasks every time. Finally, I run all four at once to complete a real-world project. Across seven episodes, including the orientation, I create results that remain as files—not merely answers in a chat window.

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.

For office workers who feel overwhelmed about what to entrust to AI and how, we transform repetitive tasks into step-by-step workflows based on practical experience.

The real story of an AI-native company run by GolbinHacker, the 1st place winner of Kakao AI TOP 100 and author of the bestseller "The Best Prompt Engineering Lecture." It explores how just two developers build and operate a service, along with the new competencies developers and organizations need in the AI era through real-world cases.

Automate key tasks across corporate functions using Claude, ChatGPT, and Copilot. Learn how to use AI through practical business areas such as sales, human resources, customer service, finance, operations management, marketing, general affairs, quality, data analysis, facilities management, procurement and materials, and strategic planning. Background The scope of generative AI use is expanding from simple document creation to automating departmental tasks, analyzing data, and producing reports. However, in actual corporate operations, each department has different responsibilities, data, and reporting methods, making it difficult to apply the same AI usage methods uniformly. Market Overview The use of generative AI in companies is expanding beyond specific roles to various departments, including sales, human resources, finance, marketing, procurement, and planning. Accordingly, AI capabilities tailored to the actual work of each function are becoming increasingly important beyond general-purpose AI usage skills.

You might be able to create flashy images with AI tools, but what kind of content should you actually plan? And can you create a cohesive shorts video? We'll support you through six lectures to help you tackle these aspects as much as possible.

Just make it do it. n8n does the work - Practical workflows to save 1 hour a day with automation tools Get AI tool utilization + prompt engineering + practical automation sense all at once.

See exam types and trends at a glance! Strengthen your practical skills with approximately 100 questions. The perfect preparation for the AWS AI Practitioner exam, allowing for systematic study even when preparing on your own.

These days, it's become so famous that you can't afford not to know about it - Nano Banana? Gemini 3.0? In this course, you can learn to handle everything with the Gemini API.

How long will you keep struggling with repetitive daily research and document writing? I, too, was an ordinary office worker who worked overtime every day trying to find key insights amidst an overflow of information. However, after integrating Gemini 3 into my workflow, I experienced a significant increase in work speed. Boost your productivity by utilizing Gemini in your tasks.

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

👉 Recommended for those who want to view AI results not as “values that simply came out,” but as understandable judgments. What exactly does AI use as the basis for making judgments? This course structurally explains how data affects AI’s judgments and why data is said to be important. You will learn how AI interprets numerical information and develops criteria for making judgments.

Using AI has become easier, but model cards and papers are still difficult to read, even just a few lines. Although you can look up the meanings of individual words, it’s not clear how those words connect to one another. This course builds up around 160 essential terms that frequently appear in AI documents, in the easiest order to understand them, so that in each lesson you can accurately read a single sentence from an actual document.

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.

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.

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

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.

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.