UI/UX portfolio using AI

Through this course, you can learn how to solve the Web Design Specialist (Craftsman Web Design) exam problems A3, B4, C1, D3, E4, and F3 using display:flex. The workflow is fast, so please pause the video as you watch.

Draw simple pictures using SVG and apply them to your site. Applying this to your portfolio will make your page stand out.

Our class's pass rate: 90%! (National: 60%) Possible by grasping exam requirements. Don't buy practical books. Too hard.

It's delicious pig's feet~ Pig's feet are no joke these days...gulp

This is a video of the design process. It's not a trend, but it's a fun video to watch.

This is a class for web design specialists (designers). If you try it a few times, you will be able to follow along without difficulty. However, you must know how to use Photoshop.

This is a good example to practice even if it is not a certification exam. Let's slowly follow the B-3 type of web design technician practice.

I'm going to make the main page of the VD site that I made for practice in the introductory course into a real one~

This is a class where you learn concepts through practice, not memorizing concepts. Come even if you feel like vomiting or shaking when you see code in other places. Anyone can do it.

In an era overflowing with AI tools and automation technology, we introduce vibe coding that anyone can start with just 'Cursor'. Think only developers can do this? Not at all. In this class, even if you don't know a single line of code, with just mouse clicks and prompt inputs, you can use Cursor to create apps and build automated systems that generate revenue. Target Audience Those who find development difficult but want to earn money through automation Digital nomads, solo entrepreneurs, freelancers Anyone who wants to save time and costs through AI utilization

The goal is to cultivate a full-stack perspective that allows individuals to lead the entire product lifecycle, covering everything from research automation and backend data integration to the deployment of live dynamic websites. We empower those who want to strengthen their competitiveness in the AI era by providing the ability to use these tools as a powerful engine to turn ideas into reality.

This is an advanced course focused on designing and implementing Multi-LLM architectures and orchestration-centered Agent systems (Main/Sub, Tool, Task Runtime, Agent Registry) by strategically combining GPT, Gemini, and LLaMA (local) based on Spring AI and Spring Boot. Moving beyond simple LLM calls, the curriculum covers the implementation of scalable, stable, and continuously improving AI systems. This involves applying Agentic Workflow Patterns (Chain, Parallel, Routing, Orchestrator–Workers, Evaluator–Optimizer) and Multi-Agent structures, separating execution layers like RAG and external APIs/DBs via Tool/ToolRegistry, and utilizing DAG engines, YAML declarative workflows, and Validated DSL (validation immediately after loading). Furthermore, the course includes Circuit Breakers, Reactive Streams, Redis monitoring, parallel processing, and iterative evaluation loops. It expands from Thymeleaf (SSR) exercises to decoupled Front-end/Back-end architectures using React and REST, while integrating tool and agent runtimes via MCP (Model Context Protocol) to build AI architecture design capabilities at a production-ready level. The ultimate goal is to evolve beyond being a simple AI user who merely integrates APIs and writes prompts, becoming a developer capable of designing AI systems—explaining and balancing Multi-LLM, agents, workflows, declarations, and validation within a single execution architecture.

Genspark Ambassador's Lecture >> Genspark, the AI Super Agent that smartly handles everything from PPT, Excel, images, and videos to Vibe Coding! You’ve been waiting because there were no lectures or books that covered Genspark in depth, right?! Rated 4.8 by 100 students ⭐️⭐️⭐️⭐️⭐️ After using it for a year, I have organized all the detailed features into extensive learning materials and a 4-hour lecture. If you know how to use it, Genspark solves all your work; if you don't, it just eats up your credits. Increase your productivity by 300% through this lecture!

A New Framework for Human-AI Collaboration to Amplify Human Thinking How should AI be utilized to maximize the amplification of human capabilities? On this new stage of creativity, what criteria should govern human-AI collaboration? Furthermore, how should jobs and workflows be designed? This course presents a new framework and execution strategies to answer these questions.

AI literacy refers to the "ability for general users, not just technicians, to effectively utilize AI in their practical work and daily lives," as well as the "competency to critically evaluate AI." This is a practice-oriented literacy course designed for non-experts to understand the core knowledge for "utilizing" AI well—covering everything from prompt engineering to security understanding, expansion, automation, and the structure of language models.

Generative AI is rewriting how the world works — and the people who learn it now will lead the next decade. Every industry is being reshaped in real time. Marketers are creating campaigns in minutes. Developers are shipping code faster than ever. Entire teams are automating work that used to take days. And at the center of it all sits one skill that separates those who get left behind from those who get ahead: knowing how to actually use Generative AI. The problem? Most people are still only scratching the surface. They've typed a question into ChatGPT, gotten an average answer, and assumed that's all there is. But beneath that simple chat box is one of the most powerful technologies ever built — and once you understand how it works and how to direct it, you'll never work the same way again. That's exactly what this course is built to do. Introduction to Generative AI takes you from complete beginner to confident, capable AI user — no coding, no maths, and no prior experience required. In clear, jargon-free language, you'll discover what Generative AI really is, how it works under the hood, and how to put it to work in your job, your business, and your everyday life. This isn't a dry, theoretical lecture series. It's a practical, demo-driven journey packed with real examples you can follow and copy immediately. You'll start with the foundations — what Artificial Intelligence, Machine Learning, and Deep Learning actually mean, and how Generative AI fits into the bigger picture. You'll explore ChatGPT's features and capabilities hands-on, understand why this technology has exploded so quickly, and trace its remarkable evolution. From there, you'll demystify the engine that powers it all: Large Language Models. You'll see exactly how next-word prediction, embeddings, and fine-tuning work, and you'll understand game-changing concepts like Retrieval Augmented Generation (RAG) and the rise of Agentic AI — the difference between an assistant that answers and one that acts. Then comes the real superpower: prompt engineering. This is where most learners go from "AI is interesting" to "AI is indispensable." You won't just learn what prompting is — you'll master more than a dozen proven techniques used by professionals every day, including chain-of-thought prompting, zero/one/few-shot prompting, tabular prompting, perspective prompting, comparative prompting, reverse prompting, the RGC framework, and many more. You'll get ready-to-use prompt starters, learn how to revise and sharpen your prompts for dramatically better results, and discover how to generate fresh ideas, marketing copy, client emails, and content at scale. By the end, you'll know how to make AI do precisely what you want — consistently. You'll see it all in action. This course is loaded with practical demonstrations across real business scenarios. Watch AI summarise meetings and capture insights with an AI notetaker, draft polished email responses in seconds, and spin up multiple marketing headline variations from a single product image. You'll explore how Generative AI is transforming software development, retail, and marketing, and you'll see real tools at work — generating working code with GitHub Copilot and creating images and video with cutting-edge tools like Amazon Nova. These aren't hypotheticals. They're workflows you can start using the moment you finish the lesson. But great power demands responsibility — and this course doesn't skip the hard parts. You'll dive into Responsible AI and learn how to spot and manage hallucinations, factual inaccuracies, bias, and fairness issues. You'll understand the genuine technical limitations of today's models and the practical workarounds that experienced users rely on. Through real examples — including safety refusals and bias-correction rewrites — you'll learn to use these tools wisely, ethically, and with confidence, the way professionals and organisations are expected to. And you'll finish looking forward, not just at today. You'll discover how Generative AI is disrupting search and reshaping the way the world finds information, explore the road toward Artificial General Intelligence (AGI), and get a clear-eyed view of the jobs, certifications, and fast-growing career opportunities this field is creating. Whether you want to future-proof your career, boost your productivity, or build something new, you'll leave knowing exactly where this technology is heading and how to ride the wave. Why learn from this course? You'll be joining a community of over 207,000+ students taught across leading platforms, backed by a 4.6 instructor rating and 13,000+ reviews. Every concept is explained simply, every technique is shown in practice, and every lesson is designed to take you one step closer to genuine confidence with AI. No fluff. No overwhelm. Just clear, practical, up-to-date learning that respects your time. This course is for you if you're a beginner curious about AI, a professional who wants to work faster and smarter, a marketer, creator, developer, entrepreneur, or simply someone who refuses to be left behind by the biggest technology shift of our generation. If you can use a web browser, you can do this course — and you can start today. The gap between people who use AI and people who master it is widening every single day. The tools are here. The opportunity is now. The only question is which side of that gap you want to be on. Enrol today and start your journey from AI curious to AI confident — one practical, powerful lesson at a time.

"Are you tired of repetitive daily tasks and expensive AI tool subscription fees?" This course teaches you how to create an 'Automation AI Agent' that will completely transform your work through intuitive 'Node' connections, even if you know nothing about coding. To solve the 'high cost' issue of existing tools like OpenClo, you will learn smart automation design methods where the computer quickly handles simple calculations and calls the AI only when absolutely necessary. From YouTube notifications and receipt bookkeeping to RAG document searching and automated email replies, build your own 24-hour customized AI assistant at almost zero cost through 9 practical examples!

Even those who know nothing about coding will be able to create their own automated stock trading program by giving commands to AI in Korean!

Learn a practical web production workflow that can be applied immediately in the field—from homepages, landing pages, and interactive websites to AI Agent-based CMS—using AI image/video generation tools and Vibe Coding. This course is not just about creating a single screen with AI. It covers the process of generating images and videos using the latest AI tools such as OpenAI Images 2.0, Kling, and Higgsfield, and utilizing them as hero images, background videos, transition videos, and interaction assets for actual websites. Based on Next.js, you will step-by-step implement cinematic landing pages, game-like interactive homepages, inquiry pages, and blog content pages, mastering structures and workflows that professionals can refer to immediately when creating homepages or landing pages. In particular, this course does not stick solely to traditional admin-page-style CMS. You will implement an AI Agent-based CMS structure where AI Agents like Codex and Claude Code organize content and image assets based on predefined skills and upload rules, then upload them to Neon DB and Vercel Blob Store. In other words, instead of an administrator manually entering data into forms one by one, you will experience an operational method where you provide blog topics, reference materials, and image assets, and the AI Agent organizes the content structure and uploads it in a consistent format. Later, this structure can be further enhanced into traditional admin pages, approval workflows, or automation pipelines as needed. Furthermore, it doesn't end with production; we will prepare elements necessary for actual operation, including Vercel deployment, GoDaddy domain connection, SEO meta tags, favicons, OG images, sitemaps, and robots.txt settings. The course also covers the process of registering sites and verifying ownership on Google Search Console, Bing Webmaster Tools, and Naver Search Advisor, as well as setting up Google Analytics and Google Tag Manager to track visitor data. By the end of the course, you will be able to independently reproduce a professional web production workflow that spans AI-driven planning, image/video asset creation, Next.js implementation, SEO optimization, deployment, search engine registration, analytics tool setup, and AI Agent-based content operation.

Build a Saju (Four Pillars of Destiny) analysis AI agent that integrates Manseryeok, Astrology, Zi Wei Dou Shu, Onomancy (Name Study), and MBTI using n8n workflows and Python algorithms. We will complete a production-level service system from start to finish where 13 specialized agents collaborate to generate professional-grade Saju reports.

And we are in the era of AI now. In the past, the "app-first" approach was difficult. Someone had to give you the code—whether you copied it from a book or found it on the internet. But now, we have AI. If you say, "Make me an app," it actually generates the app code. This is a complete game changer. Now, anyone can have an app from day one. And while looking at that app, they can ask, "What is this?" The method I used 10 years ago is now something anyone can do.

LLM and Agent, the fundamental technologies behind AI like ChatGPT. LLM is currently the technology that has come closest to AGI. In this lecture, we will explore LLM and Agent technologies from a layperson's perspective.

We are launching a "Complete Reading Challenge" for the book "AI Agent Engineering," a practical guide to building proactive agent systems using LLMs. This book covers the core components of agents step-by-step, from tool selection to orchestration (designing planning and execution flows) and memory management. It also explores how to scale into multi-agent architectures where multiple agents collaborate by dividing roles. Furthermore, it expands your perspective from "how to build" to "how to operate" by covering essential production-level topics such as reliability, security, and governance. Do you want to design agent systems that go beyond simple automation to operate safely and transparently according to human intent? Join the book and the challenge to discover a concrete roadmap for turning your ideas into production-level systems!

From meeting preparation to writing minutes, AI does it all! The first in our series on using AI Agents for company work!

After ChatGPT was released in 2022, AI has become a very close software in our lives. The performance of models is improving day by day, and many new software applications that didn't exist before are emerging using AI. In 2025, as AI agents become a hot topic, many people are starting to develop AI agents. You may have heard the term AI agent, but this is an introductory tutorial that will help you understand what an AI agent is, why it has suddenly become a topic of discussion among so many people, how to create an AI agent, and how to easily build one using ADK.

From AWS EC2 backend operations to automatic error fixing, we are revealing the entire development process of Sidabari (https://github.com/cx8537/sidabari), a Claude Code-based automation tool. In this course, we provide all the actual prompts and conversation history used as learning materials, allowing you to experience the entire prompt input process involved in its creation.

Are you still coding alone? We are now in an era where AI handles 99% of the work. Instead of memorizing complex syntax, this course teaches you how to turn Google's powerful AI, 'Gemini Pro,' into your 24-hour AI development partner. You will learn the fundamental principles of Flutter using the paid Gemini Pro model for free and turn your ideas into reality through professional-level projects.

I will show you "where to start" through a case study of building a service with non-developers in just one day, and explain "how to manage and collaborate" using the example of designing the GitHub structure for the Selfish Membership team.

Even if you are not a major or a designer, you will learn how to directly create and modify web UIs, proposals, and design systems using Claude Design and Figma. To ensure immediate application in practice, the course proceeds step-by-step with a focus on hands-on practice—covering everything from the differences between Claude Code and Claude Design to installation, plugin utilization, component-based UI production, design modification, and methods for applying them to live services. This lecture is designed to help developers, planners, and marketers who found design tools difficult to experience rapid result-making through AI and component-based workflows.