AI-Assisted Digital Content Creation

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.

Student review after an interview ' I spent 7 enjoyable months with AI building a commercial classroom management app called 'Crowny Class,' which is currently in use. This course shows exactly how I failed, struggled, and ultimately held the final product in my hands. By following the lessons on complex topics like GitHub or AI-driven development, you will complete everything from enhancing playable games to refining your own web portfolio with a live URL.

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 is 90%, compared to the national pass rate of 60%! It’s possible if you understand the exam requirements. Don’t buy a practical exam book—it’s difficult.

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 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.

Are you feeling frustrated after receiving a vague order to "go buy some AI," without knowing where to apply it to actually make a profit? 😰 Forget the flashy technical pitches from vendors—we’ll show you practical design methods to prove ROI on the manufacturing floor within 90 days! 🛠️ Double your factory's AX adoption success rate with expert know-how that saves billions of won in trial and error! 💰📈

Digital transformation (DX) and AI transformation (AX) have now become essential competitive capabilities for both companies and individuals, rather than optional choices. This course is a practical, hands-on program that systematically covers everything from the core concepts of digital transformation to real-world success and failure cases, strategy development methods, execution roadmaps, and KPI design, amid the shift beyond the era of generative AI toward the era of AI agents and Physical AI. Through a variety of domestic and international case studies, we analyze the common strategies of successful companies. The course is structured to help anyone develop a digital innovation strategy applicable to their own organization and work using the six fundamental questions of DX (WHY, WHAT, WHERE, WHO, WHEN, HOW). This is a practical DX/AX strategy course for anyone who wants to learn not just about AI technology itself, but how to leverage it, when to adopt it, and what strategies to use for implementation.

Even without any understanding of machine learning! You can create impressive projects with Google's Teachable Machine and HTML, CSS, JS. Let's create a service that finds similar celebrities together!

Reading the Standard of Digital Money — A New Financial Order Opened by Stablecoins In the uncertain digital asset market, stablecoins—the only assets that function "like real money"—have already emerged as a core part of the global financial infrastructure. This provides essential, condensed knowledge for professionals who want to be at the forefront of understanding the paradigm shift in the digital economy.

Hello, this is Dante. Using the Codex × Hermes combo, I’ll personally build a one-person AI office over eight weeks, with a single operator running four subsidiaries (text, short-form, data, and finance) simultaneously.

Recommended for these students! Frozen~! Coco! I watched it too~ But how was it made? I want to major in animation too, but is this really what I want to do? Can I learn everything once I enter a university program? What should I prepare for employment? Should I just watch a lot of animations? That animation looks like it has a different style - I want to know how it's produced AI has advanced too, can't I make it on my own? I want to get a job at an animation company - any tips? In this class, you'll learn: ✔ Animation genres, fields, concepts, and all the production processes needed for creation! ✔ What are the actual working departments in animation companies? Which departments play what roles as the gears turn in the production process? ✔ Concepts, production, management, and even hands-on practice! Once you complete all of this, you'll become an animation master who understands the concepts even better than animation majors!

This course is a practice-oriented program that goes beyond simple chatbots to build multi-agent systems where multiple agents collaborate. 👉 You will learn three frameworks—Swarm, LangGraph, and DeepAgents—step-by-step, completing six practical projects including a customer support chatbot, blog content creation, a PostgreSQL query agent, and an autonomous research agent. 👉 By implementing enterprise-grade features such as long-term memory using Redis and PostgreSQL, Human-in-the-loop security mechanisms, and cost monitoring, you will be able to build production-level systems that can be applied to real-world services immediately after the course.

This covers asynchronous programming concepts and data communication optimization techniques for JavaScript developers.

In the era of smart factories and autonomous driving, is our production line truly safe? The remarkable advancement of Artificial Intelligence (AI) has brought innovative productivity and efficiency to the automotive manufacturing industry, but it is simultaneously creating unprecedented security threats to the Operational Technology (OT) environment within factories. This lecture breaks down "OT Security"—which can often feel vague and difficult—in a clear and easy-to-understand manner through vivid, real-world examples from the automotive industry.

This course is based on Angular and condenses the simple but useful petlist project into a 100-minute core lecture, allowing you to develop mobile web app development skills that can be applied in real life in a short period of time.

We will share the practical know-how of how an ordinary office worker dad, a non-major, achieved cumulative earnings of 10 million KRW with AI images, creating a salary-level side income by investing 20 minutes a day. With a curriculum customized for office workers and homemakers, anyone can easily follow along.

Even those who have never experienced even the basics of coding can create automation software with just a few clicks. I'm serious.

We will teach you everything from basic concepts to situational test writing methods and advanced testing knowledge so that you can master everything about front-end unit testing.

[Website Creation Step By Step] This is a beginner-level course that will walk you through the creation of the main page of the Korea Consumer Era webzine (currently renewed).

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

We will examine the major OT security threats that can occur at production sites in the food and pharmaceutical industries, focusing on real-world cases. You will understand what security issues can arise in smart factories, production facilities, quality control systems, and traceability management processes, and learn basic response methods to prevent production shutdowns and data falsification in a way that is easy for beginners to follow.

This course covers how to leverage AI in the food and pharmaceutical manufacturing industry to enhance productivity and quality. Through real-world case studies, you'll learn how AI is applied in key stages such as raw material management, production processes, quality inspection, and regulatory compliance, while understanding defect rate reduction and efficient operational strategies. Through this course, learners will master ▲characteristics of the food and pharmaceutical industry and the necessity of AI adoption ▲data-driven quality management ▲predictive maintenance and equipment optimization ▲regulatory compliance monitoring and risk management ▲analysis of domestic and international implementation cases, gaining strategies and insights that can be immediately applied in the field.

Even if AI quickly generates an SQL draft, people must judge the table structure, relationships, performance, and data consistency. Using MySQL and DBeaver, you will gain hands-on experience with everything from tables, columns, data types, PKs, and FKs to DDL, database modeling, SQL fundamentals, indexes and EXPLAIN, and transactions, learning the standards for reading and validating AI-generated results.

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.

Through this lecture, students can create a web service similar to Instagram using HTML, CSS, and JS. (Only the front-end is implemented! The back-end server construction will be filmed in a later lecture.)