Mastering AI Agents Without Coding (4-Part Series) ①/④ Introduction: Concepts, Structure, and Principles of Operation

When studying information security, you've probably had this thought at least once: "Firewall, CSPM, SIEM... I've heard the names, but I'm not exactly sure what they do." This course is designed for those new to information security to clearly grasp the concepts of the 'security solution landscape.' From each solution's concepts, key functions, pros and cons, case studies, to the latest trends... With a total of 23 lectures, how about clearing up the vagueness about security solutions right now?

This course is a specialized program that covers practical application strategies for utilizing artificial intelligence (AI) in the construction and civil engineering fields. In the construction industry where digital transformation is accelerating, AI is driving innovation across design, construction, safety, and quality management. This course focuses on learning practical application cases that can be utilized in actual field sites, including smart construction, digital twins, AI-based equipment control, safety monitoring, and quality verification.

The shipbuilding and maritime industry is a representative field of traditional heavy industry, but it is securing new competitiveness through the combination of digital transformation and artificial intelligence (AI) technology. This course is structured around specific application cases actually used in the field, such as AI-based shipyard production management, ship design automation, maritime logistics optimization, and predictive maintenance system construction. With a field-centered approach, you can understand not just simple theory but **'how AI actually works in shipyards'**. Additionally, it covers data infrastructure construction, model training, and constraints specific to the marine environment that must be considered during the AI technology implementation phase.

"Smart Factory—it sounds cool, but can't quite picture it in your head?" The news talks about the 4th Industrial Revolution and AI factories every day, but when you actually look for information, it's full of "alien languages" like PLC, MES, ERP, and Edge Computing. What non-majors need isn't a complex circuit diagram, but a 'map' that shows how the whole system works. This course strips away difficult engineering jargon and explains everything about smart factories through intuitive illustrations and analogies that anyone can understand.

"The Fourth Industrial Revolution, AI factories... The terms are familiar, but can't you visualize the structure?" Smart Factory, often called the future of manufacturing. While related articles pour out and it appears as a required competency in job postings, the barrier feels far too high for non-majors. "Did you give up because of abbreviations that sound like alien languages, such as PLC, MES, or ERP?" "Are you afraid to even start because you lack knowledge in coding or engineering?" Don't worry. This lecture deals with 'structure,' not 'engineering.' Instead of complex text, we will help you complete a full map of the smart factory in your head using intuitive drawings and diagrams, just like assembling Lego blocks.

This course covers practical strategies for leveraging AI in the machinery and metal processing industry to enhance productivity and quality. It analyzes key process data from CNC, welding, cutting, and other operations, explaining how AI technology is applied to reduce defect rates, enable predictive maintenance, and manage worker safety through real-world case studies. Learners will understand AI-based processing optimization methods that can be immediately implemented in the field, from small and medium enterprises to large corporations, and gain insights to realize manufacturing innovation in global competition.

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.

The chemical and fine chemical manufacturing industry is a sector that requires complex processes and high safety standards. This course covers strategies for leveraging AI to increase productivity, reduce costs, and enhance safety. You can systematically learn practical skills centered on AI application cases that can be immediately applied in actual field settings, including process data analysis, quality prediction, equipment predictive maintenance, and environmental regulation compliance.

The electronics and semiconductor industry is a field where data-driven management and innovation are particularly crucial due to ultra-precision processes and complex supply chains. This course covers practical strategies that can be directly applied in electronics and semiconductor manufacturing, including defect detection, process optimization, predictive maintenance, and supply chain management using AI technology. Along with real-world cases from global companies, the course also presents low-cost, high-efficiency AI implementation methods that small and medium-sized enterprises can realistically utilize. Through this, students will be able to understand and apply AI-based manufacturing strategies that not only improve productivity and reduce costs, but also build future competitiveness.

The automotive and parts manufacturing industry is a field where innovation is essential amid fierce global competition and complex supply chains. This course focuses on how AI technology can be applied in the field, explaining actual cases including production efficiency improvement, quality inspection automation, equipment predictive maintenance, and supply chain optimization. From the foundational understanding needed for AI implementation to strategies and risk management considerations for field application, this course covers topics step by step, providing knowledge and insights that practitioners and managers can immediately utilize.

Digital transformation (DX) is not a choice but a necessity. This course serves as the first step in digital transformation for all employees, providing easy and clear explanations from core DX concepts to business innovation cases. Don't fall behind in this changing era—develop the power to grow yourself and lead organizational innovation! Please don't overthink this lecture and take it with a light heart.

The Key to Awakening the Value of Ideas: Intellectual Property Ability Test (IPAT) Core Lecture This course goes beyond simply passing the exam—it's a process of learning practical methods to protect invisible 'ideas,' create value, and ultimately transform them into powerful 'assets.' It eliminates vague notions about intellectual property (IP) and helps you grow into a competitive expert in any field. Have you hesitated to even start studying because of the extensive official textbook? This course does not cover all content from the official National Certified Intellectual Property Ability Test (IPAT) textbook. Instead, it is structured by selecting only the core concepts and high-scoring points that frequently appear on the exam. Longer exam preparation is not necessarily better. The secret to passing is learning only what's necessary, accurately, and through repetition. Discover that secret in this lecture.

Incident response is less about mastering tools and more about knowing what to judge first. Rather than focusing on how to analyze malware, this course explains the realistic thought process of determining **"whether the current situation is an actual incident and what actions to take first."** Using webtoon-based real-world scenarios, we have organized the entire flow of incident response—from identifying signs of intrusion to incident assessment, initial response, containment, and analysis/forensics—in a way that even non-experts can understand. This is not just a collection of fragmented technical explanations; it is a course where you learn the decision-making criteria and response perspectives that practitioners can apply immediately in the field.

This course is an introductory information security lecture that breaks down complex cyber attack techniques in an easy and engaging way, like a movie. From traditional hacking methods to the latest attack techniques in cloud environments, everything is organized in an easy-to-understand manner based on real cases and scenarios. Even if you don't know technical terms, anyone can follow along as we actively use analogies, visual materials, and storytelling, and it's structured so that vague security concepts clearly stick in your mind. "This course is designed for those who only had a vague understanding of security to comprehend everything at once: 'hacking principles and flow → actual attack methods → response strategies.'"

"Vulnerability Analysis Techniques Revealed by the Byte Detective: Practical Understanding and Diagnostic Strategies" covers the process that goes beyond security basics to connect vulnerability discovery → analysis → diagnostic strategy development in real-world environments. This course breaks down difficult security concepts in an easy-to-understand way for beginners, and is structured with procedure-focused, example-driven, and case-based explanations that can be immediately applied in practice. This course will help security personnel, IT practitioners, and those preparing for careers in the security field develop core principles of vulnerability analysis and practical expertise.

"Prepare for the future talent who will lead the AI era, right now!" Artificial intelligence (AI) has now become a core technology that brings innovation to our lives and industries. As various companies and institutions actively adopt AI technology, the demand for related jobs is rapidly increasing, which is also a great opportunity in the job market. However, many people feel at a loss about what and how to prepare to enter the AI field. The "AI Job Roadmap" e-learning course provides systematic and practical job strategies for job seekers, career changers, and non-majors who want to enter the AI field. It summarizes everything about the AI field, from basic concepts to practical projects and job preparation. Through this course, you can build a solid technical capacity in the AI field and complete your own powerful portfolio to grow into a key talent needed in the AI industry.

**"AI Philosophy - Ethics and Challenges in the Age of Artificial Intelligence"** is a topic that deals with the ethical and philosophical exploration of the development of artificial intelligence (AI) and its impact on human society and culture. This topic goes beyond simple technological development and delves into how AI affects human life and what ethical decisions we should make accordingly.

As AI technology rapidly advances, the nature of existing jobs is changing and new opportunities are being created. Accordingly, not only technology-centered jobs such as data analysts, AI engineers, and cloud architects, but also hybrid jobs such as AI ethics experts, digital twin designers, and sentiment data analysts are attracting attention. In addition, creative job groups that utilize technology, such as EdTech experts, digital healthcare consultants, and virtual reality creators, are also emerging. As AI becomes a tool that assists and expands human work, talent with continuous learning ability and creative thinking will become a key factor in achieving success.

The National Certified SMAT (Service Management Ability Test) is administered by the Korea Productivity Center (KPC) and is a nationally certified private qualification aimed at fostering key talent in the service industry. Beyond mere theoretical assessment, it focuses on verifying practical competencies to cope with and manage various situations that arise in real service environments. This lecture provides a core summary of topics that are genuinely important and frequently appear in exams.

Are you using AI but still typing new prompts every single time? Code is being generated, but are team-level automation and systematization still out of reach? This course is not about learning Claude Code as a "conversation tool." It is a course where you will learn how to design AI as a system using Agents, Sub-agents, Agent Teams, Memory, and Hooks.

Non-Majors Welcome: Real-World Vibe Coding Projects Created Through Conversations with AI

You don't have to say "summarize this" every time. In this lecture, you will learn how to create your own AI agent in Antigravity and use it immediately without repetitive explanations. The course is practice-oriented so that even beginners can follow along. https://antigravity.google/download (You can download the Antigravity Editor here :))

We will summarize all the hot topics regarding Generative AI, LLMs, and Agents from throughout 2025! Focusing on the announcements from the three major AI developers (OpenAI, Google, and Anthropic), we will take a look at the trends of AI that have advanced remarkably in '25.

This course covers work automation using MCP (Model Context Protocol) via diverse case studies: Playwright crawling, Figma design, Notion data organization, Excel data analysis.

It's okay even if you don't know the first thing about coding. In this AI era, all you need is an idea and AI will write the code for you! This course is not simply about learning a programming language. It's a practical course where you learn 'the most modern development method' - giving commands (prompts) to the powerful AI code editor 'Cursor AI' to directly create the programs you've imagined.

This is a practical web development project course where you complete everything from planning and design to implementation and deployment using generative AI. You will create designs using Stitch and Figma Make, generate code with AI Studio, and deploy them as actual services. Even if you don't know much about coding, you will learn how to develop alongside AI and complete your own AI web app. Now, you too can become a developer who collaborates with AI.

AI Finally Gets a Body - What is My Survival Strategy in the Age of Robots? Physical AI is not just about robots. It is an overthrow of the economic paradigm created by the grand convergence of artificial intelligence, robotics, and energy technology. This course explores various perspectives, from the background of Physical AI's emergence to the strategies of global big tech, hardware sovereignty, and future social issues such as robot taxes, basic income, and global inequality.

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.

"Smart Factory—it sounds cool, but can't quite picture it in your head?" The news talks about the 4th Industrial Revolution and AI factories every day, but when you actually look for information, it's full of "alien languages" like PLC, MES, ERP, and Edge Computing. What non-majors need isn't a complex circuit diagram, but a 'map' that shows how the whole system works. This course strips away difficult engineering jargon and explains everything about smart factories through intuitive illustrations and analogies that anyone can understand.

AI Work Automation + Side Income Generation with Just One Click!!! Make, the ultimate work automation tool - have you been hesitating to start due to its complex settings and features? Build the automation you've been dreaming of with step-by-step lectures that even beginners can easily follow.

The rules of every game are changing — a new dimension of business opened by quantum computing. Moving beyond simple technological advancement, quantum computing has already emerged as a key variable determining the future business landscape, poised to shift paradigms across all industries. This analysis provides insightful perspectives on the massive wave of technological change, covering everything from the basic principles of quantum computers to innovation cases in finance, pharmaceuticals, security, and the strategic moves of global Big Tech. It offers the most definitive roadmap for professionals who wish to gain quantum literacy without complex physics knowledge and transform into future-ready talent.

You can learn the core concepts of complex Next.js in a short time. We'll teach you only the essential practical knowledge for those learning Next.js for the first time. Captain Pangyo's new Next.js course, who has been conducting framework courses for 8 years. You can learn the coding and learning methods of "Frontend Developers in the AI Era"! 😊

We're building an AI-powered video conferencing application with real-time AI agents, meeting summary features, and post-call functionality.

"The Fourth Industrial Revolution, AI factories... The terms are familiar, but can't you visualize the structure?" Smart Factory, often called the future of manufacturing. While related articles pour out and it appears as a required competency in job postings, the barrier feels far too high for non-majors. "Did you give up because of abbreviations that sound like alien languages, such as PLC, MES, or ERP?" "Are you afraid to even start because you lack knowledge in coding or engineering?" Don't worry. This lecture deals with 'structure,' not 'engineering.' Instead of complex text, we will help you complete a full map of the smart factory in your head using intuitive drawings and diagrams, just like assembling Lego blocks.

Let's develop the ability to find rational decision-making models based on mathematical thinking by understanding various elements of AI and data, and solving real-world problems using ChatGPT and no-code programming!

Still coding alone? We're now in an era where AI handles 99% of the work for you. Instead of memorizing complex syntax, this course teaches you how to turn Google's powerful AI 'Gemini Pro' into your 24/7 AI development partner. Learn the fundamental principles of Flutter using the paid Gemini Pro model for free, and turn your ideas into reality through professional-level projects.

This is a mission content for a frontend project. We provide a PRD planning document, Figma design, and API endpoints so you can practice the project by implementing a timer app called DevTime yourself. Make the knowledge you've learned so far completely your own by implementing a project at a level similar to an actual service 🚀

This video shows effective ways to link internal company data to sLM, and practical solutions for various issues from sLM adoption.

All students who submit missions for the "Silicon Valley Internship & 30 Big Tech System Design & Open Source Contribution Course" (designed to keep you indispensable in the AI era) can apply for internships at AI startups in Palo Alto, USA. Applicants will receive a document screening waiver and a guaranteed interview opportunity. This course involves designing and scaling 30 real-world system designs based on Big Tech cases such as Netflix, Tesla, Meta, and Tinder. Finally, you will design your own service from architecture to DB and scaling, and complete your portfolio and resume by contributing to an active open-source AI coding agent project that has achieved 1.8k weekly downloads.