Integrate Claude Code into your terminal environment and provide the AI with project context using CLAUDE.md and Custom Skills, leveraging it as a true development partner. Go beyond simple code generation to master your AI engineering capabilities, covering everything from refactoring, MCP integration, and task automation to building real-world web applications.

We will study AX (AI Transformation) strategies that go beyond simply utilizing AI tools to fundamentally redesign an organization's work processes and decision-making systems. We will analyze AI transformation cases from global companies across various industries, such as retail, finance, and healthcare, and establish actionable strategies and roadmaps applicable to our organization.

This course analyzes the US-China currency hegemony competition, centered on dollar-based stablecoins and China's digital yuan. By systematically studying how changes in the global financial order in the digital currency era affect the domestic economy, financial markets, and individual asset strategies, it provides insights that can be immediately applied to practical work.

Learn the basics of visual thinking, a technique for quickly organizing complex information using text and drawings. From ideation to utilizing digital mind maps (Xmind), you will master practical thought-organization know-how step-by-step to enhance work productivity. Start as easily as learning a language and complete your visual thinking skills that can be applied immediately to daily life and work.

Understand the essence of data visualization as a balance between scientific accuracy and aesthetic expression, and systematically learn everything from color and symbology principles to graph design. By utilizing visual attributes based on cognitive science principles, you will complete your data communication skills to achieve reliability and persuasiveness in professional practice.

Learn the smart work mindset and practical skills needed to survive in a rapidly changing business environment. This course comprehensively covers essential work skills for modern professionals, ranging from how to use the latest productivity tools like ChatGPT and Notion to creative and logical thinking, time management, and leadership.

Learn the core concepts and operating principles of Physical AI, which moves beyond the screen to be implemented in robots, autonomous vehicles, and drones. Understand the sensing-perception-action mechanism, digital twin-based learning, and the importance of embodied data, while exploring the global technological competition and Korea's strategic direction through real-world cases in industries such as manufacturing, mobility, and agriculture.

Together with Professor Soon-chil Lee, South Korea's leading authority on quantum computing, you will systematically learn everything from the core principles of quantum technology to its business impact. Through the basic concepts of quantum mechanics, the operating principles of quantum computers, and industrial application cases, you will complete your quantum literacy to preemptively understand future technological changes and establish strategies.

Systematically learn the internal structure and operating principles of Apache Kafka, a core technology for real-time data streaming. From basic concepts to cluster construction, client development, and microservices application, you will acquire all the practical knowledge and know-how necessary to build the capability for stable Kafka operations.

We will examine the changes that AI technology has brought to the entire financial industry through various cases such as fintech, investment, credit risk, and fraud detection. Through hands-on practice using Python libraries, you will understand the application methods and strategic insights of financial AI and learn how to safely integrate generative AI into financial services.

Starting from installing MariaDB and understanding its structure, you will learn step-by-step from writing SQL queries and utilizing functions to joins and subqueries. You will master core practical features such as table design, performance management, backup, and recovery through hands-on practice, completing the practical skills necessary for database development and operation.

This is a practical clean code writing course for developers who have completed the basics of Python. You will learn specific methodologies for writing highly readable and maintainable code, and develop coding skills that can be immediately applied to real-world projects through the know-how of professional programmers.

Systematically learn Docker, a core tool for container-based application deployment, from the basics to practical application. Starting with Docker's basic structure and commands, you will develop practical skills that can be immediately applied to real-world tasks, including container packaging in microservices architecture environments, deployment automation, and standardization of production environments.

Learn how to develop cloud-native applications using Kubernetes, the standard for container orchestration. From core Kubernetes concepts to actual application deployment and operations automation, you can acquire practical skills that are immediately applicable in the field. Learn how to build efficient resource management and deployment processes by integrating development and production environments.

This is a process of developing a practical web service in collaboration with AI agents based on TARS prompt engineering principles. You will gain full-stack development experience covering everything from UI/UX component creation to CRUD functions, API integration, and data visualization, ultimately completing your own idea as a viable MVP.

In an era where flexible data processing beyond the limits of SQL is required, learn everything about MongoDB. From NoSQL concepts to installation, CRUD practice, aggregation pipelines, text search, and indexing, you will learn step-by-step and complete your practical skills through Python crawling integration and container environment construction.

In the era of AI and Big Data, are you utilizing your organization's data effectively? This course builds essential capabilities for reading and interpreting data, covering everything from the foundations of statistical thinking to the core principles of machine learning and deep learning. Grow into a practical leader capable of discovering patterns amidst volatility and making data-driven decisions.

This course is designed for those who are new to React, an essential skill in frontend development. We break down difficult concepts into easy-to-understand terms, allowing you to naturally master everything from the basic principles of React to practical application through hands-on learning. By addressing the common pain points where beginners often get stuck and providing project-based practice, we help you grow into a confident React developer.

This is a course on building your own stock and cryptocurrency automated trading programs using ChatGPT, even without prior coding knowledge. You will gain both AI development skills and financial investment knowledge through hands-on practice covering the entire process, from data collection to predictive model development, stock recommendation systems, and actual automated trading.

Learn how to reduce marketing risks through AI and efficiently execute the entire process, from branding and personalized marketing to content creation. From the basics of prompt engineering to practical application, we present essential AI utilization methods for marketing professionals.

This is a practical course where even beginners can learn how to quickly create PDF and Notion templates using AI and generate passive income by selling them on platforms like Etsy, Gumroad, and the Notion Marketplace. You will master everything at once, from market research and production to creating product detail pages, uploading, and sales strategies.

AI Tech DNA Series: Core Principles of Computer Basics from an AI Perspective is an introductory course designed to help you easily understand the fundamental computer concepts necessary for the AI era. By explaining basic principles such as CPU, memory, storage, networks, and data structures through real-life analogies and an AI-focused lens, it builds the solid foundational strength needed to advance into Python, AI, security, and the cloud.

This course is designed to simultaneously develop both fundamental theory and practical application skills needed to proficiently execute AI modeling projects in real-world settings. Learners will understand the overall flow of AI projects and experience step-by-step processes through hands-on practice: problem definition → model design → data acquisition and preprocessing → feature extraction → model training and validation. Additionally, by learning how to select and manage optimal AI models in various situations, learners can build practical AI capabilities that can be applied to actual business environments. Through this course, learners can systematically understand the entire AI modeling project process and strengthen their data-driven problem-solving abilities based on this foundation.

Together with Professor Soon-chil Lee, South Korea's leading authority on quantum computing, you will systematically learn everything from the core principles of quantum technology to its business impact. Through the basic concepts of quantum mechanics, the operating principles of quantum computers, and industrial application cases, you will complete your quantum literacy to preemptively understand future technological changes and establish strategies.

This special lecture concurrently prepares for Microsoft AI-900 certification, featuring the latest content reflecting May 2025 exam scope, combining theory and practice, including AI overview, machine learning basics, computer vision, natural language processing, document intelligence, knowledge mining, and generative AI.

The era of AI simply making PPTs "for" you is already over. What matters now is not "how well you use AI," but "how you think and design structures alongside AI." This is not a lecture that simply lists Claude and Gemini features. Through a practical PPT production workflow that you can use immediately tomorrow, we help you drastically reduce report writing time and focus on the more important task of "thinking." With a practice-oriented curriculum that can be applied directly to weekly report PPTs, go beyond shortening production time and complete your own AI-based work system. Point 1. AI Collaboration Structure Design: Speed changes when you divide roles - Division of labor: Claude for analysis, reasoning, and drafting; Gemini for visualization and slide generation - Designing a structure to use AI tools as "work partners" rather than simple utilities - Shifting work methods to reduce repetitive tasks and focus on thinking and judgment Point 2. Drastically shorten PPT production time with the R-S-D-P pipeline - Internalizing the 4-step production process: Research → Structure → Draft → Polish - Increasing work speed by standardizing the flow of report and proposal creation - Learning practical PPT production methods that reduce time by more than 70% compared to traditional methods Point 3. Structuring repetitive tasks by building your own AI automation system - Building a personalized AI environment using Claude Projects and Gemini Gems - Designing "your own AI assistant" trained on your company's tone, manner, and templates - Completing a sustainable work system by automating weekly and monthly reports

The Gemini agent that works across Google Drive! Put the finishing touches on your Google AI workflow with overwhelming productivity.

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.

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.

Finally, I feel that the AI security review (NIS/FSI) checklists, which have been vaguely positioned over the past 7–8 years, are now accurate from a practitioner's perspective, and I have established a clear framework for how to change, establish, and operate the management system. I will explain what AI security is and how it should be improved after June 2026, based on the standards of South Korea's top-tier companies (those with the highest level of information security). (This is not a basic or conceptual explanation*) I have developed this training divided into PART 1 (Basics & Overview) and PART 2 (Advanced & Security Review), so please refer to it.

Do you want to generate significant profits even in a bear market? Are you interested in automated trading but haven't been able to start because of coding, trading strategy design, exchange APIs, or server deployment? In this course, we guide even those new to Python to turn trading ideas into concrete strategies using ChatGPT and Codex, and implement them into backtesting and live automated trading code. We will practice Binance Futures automated trading using Python and CCXT, technical indicator strategies, DCA (dollar-cost averaging) backtesting, and Upbit API-based Kimchi Premium strategies. Afterward, we will apply Telegram notifications and order safety features, manage the completed bot with GitHub, and deploy it to a cloud server. Rather than leaving all investment decisions to the LLM, humans will determine the strategies and risk management criteria, while using the LLM as an assistant to help with strategy design, coding, and troubleshooting. After completing the course, you won't just be running the provided code—you will be able to create, verify, modify, and deploy your own unique strategies!

Stop paying for student record design. I will reveal all the consulting secrets used directly by an admissions consultant with 30 years of experience.

Are you struggling with rejected proposals? Drawing from 26 years of field experience, I will personally teach you intermediate strategies that go beyond simple writing to elicit immediate approval.

Create high-quality AI videos with Midjourney & Runway. Director Dong-ah Kim, who collaborated with Samsung, will personally guide you through the step-by-step process of AI video production based on a virtual brand.

Systematically learn the core concepts and operating principles of Imitation Learning and VLA (Vision-Language-Action) technologies, which serve as the foundation for Physical AI. Understand the mechanisms through which Physical AI interacts with the real world through actual case study analysis.

This package is an integrated bundle that combines the two existing courses of "[26 Years of Corporate Experience + Author of 4 Books] Business Report Design Methods That Pass on the First Try." - This course is a process of transforming reports from mere explanatory documents into a "structure where decision-making occurs." - Many professionals work hard on their reports, only to receive feedback like "So, what's the conclusion?" or "Let's refine this a bit more." - The problem is not your writing style or PPT skills; it is a structure that does not align with the decision-maker's flow of judgment. 🔹 Project 1: [Discovery] Making it clear why reports fail to pass Recognize the reasons for a report's failure through structure rather than intuition. - Why persuasiveness is lacking despite having sufficient numbers and data - Structures with plenty of explanation but no decision-making - The critical difference between "writing hard" and "getting approved" This is a mindset-shifting stage that fundamentally changes your perspective on writing reports. 🔹 Project 2: [Expansion & Persuasion] How to design reports where decision-making actually happens This stage covers how to translate the problems identified in Project 1 into actual report structures and sentences. - Designing structures where judgment is repeated - Creating organizational standards rather than one-time persuasion - Strategic phrasing and placement that trigger decisions This is a practical course to expand reports from explanatory materials into decision-making systems.

1. Mock exam problem-solving for passing AICE Associate, Korea's only state-certified AI certification. 2. A course featuring 12 mock exam sessions with the same question types as the actual AICE Associate exam.

Conquer everything about world-changing AI in just 4 lectures! Lecture 1. The True Identity of Artificial Intelligence AI is not magic. It's a digital brain created by analyzing human 'intelligence' like a mathematical formula! We thoroughly dissect the core structure of seemingly smart artificial intelligence. Lecture 2. Algorithm, AI's Creative (?) Thinking Method How does a pondering AI find answers? Experience firsthand the strategies of AI that plays Go, finds routes, and predicts your search results. Lecture 3. AI Hardware, The Engine That Turns Imagination Into Reality! The chip inside your smartphone is the heart of AI. We dissect everything from CPU, GPU, TPU, to even those unknown names. Lecture 4. The Great Clash of Machine Learning and Deep Learning! What on earth does it mean for AI to 'learn'? From classic rule-based AI to the currently hot ChatGPT! We trace the evolution of learning.

64 core stories from the Romance of the Three Kingdoms, handpicked by a strategy expert with 30 years of experience! We provide a 150-page 'Rule of Three' strategic framework that structures complex business issues into just three areas to design your victory. [The Blueprint for Victory Learned from Heroes of Turbulent Times] Did you feel you should read the Romance of the Three Kingdoms but felt overwhelmed by its massive volume and 1,200 characters? Or even if you read it, were you unsure how to apply it to real-world business? This lecture pierces through the entire epic while distilling only the 'Rule of Three' that can be immediately applied to modern business. 🎯 This lecture is for: Strategists/Planners: Those who want to design a 'structure for victory' that does not collapse amidst complex variables. Leaders: Those who want to win people over by mastering justification, practical interests, and timing. Beginners: Those who want to master the core plot and strategies of the Three Kingdoms all at once. ⚔️ What will you learn? An Unshakable 'Structure' (Risk Management): From Cao Cao's retreat tactics to Zhuge Liang's defensive formations, learn how to prevent the collapse of your foundation by optimally allocating resources. The Invisible 'Gap' (Strategy Formulation): Through cases like Lu Bu’s "empty house" raids and Guan Yu’s loss of Jing Province, master the art of timing to seize the initiative by capturing the opponent's weaknesses. The Irresistible 'Proposal' (Psychological Persuasion): Systematize negotiation techniques that completely win over opponents using the 'Justification-Profit/Loss-Deadline' frame extracted from Zhuge Liang's diplomacy. 💡 Our Promise After taking this course, you will possess a clearer strategic insight than someone who has read the Three Kingdoms three times. The stories are exciting, and the strategies are meticulous! Results are not left to luck; they are designed.

AI is no longer a tool exclusive to developers or experts. The gap between "those who use AI" and "those who don't" is already widening across all roles—from students and job seekers to office workers, planners, and developers. This course is a practical survival guide focused on: ✔️ How to use AI as a tool to explode your productivity, not as a replacement technology ✔️ Prompts you can immediately apply to work, studies, job hunting, planning, and development ✔️ The mindset that turns someone who says "I tried AI, but it wasn't that great" into an AI expert Rather than just explaining features, I will show you: 👉 What kind of people survive in the AI era 👉 Exactly how those people use AI in practice Based on my own experiences and real-world examples.