AI Literacy and Transformation Series (1): AI Paradox | Ontology | AI 5-Stage Stack | AI Amnesia | AI-Powered Financial Accounting | Data Center Cooling | AI Semiconductors

To solve the problems of 'complexity' and 'inefficiency' commonly experienced by professionals, researchers, and engineers in modern society, I propose practical solutions that I have refined over 40 years of intense field experience at Hyundai Motor Group. 1. The 'Problem' You Face: The Flood of Information and the Cycle of Reactive Firefighting Many students are blocked by the following three barriers: Information Overload and Search Limitations: Unable to identify what is essential among the millions of papers and data published each year, wasting time on search labor. Reactive Work Methods: In manufacturing and design settings, remaining stuck in a 'firefighter' role of finding causes and working through the night to solve problems only after they occur. Breakdown in Organizing Thoughts and Communication: Despite having excellent ideas in mind, experiencing frustration in front of a 'blank screen' due to inability to implement them into systematic reports or logic. 2. The 'Solution' Infused with My Experience: Architect of Systems and Prediction As a 40-year R&D veteran engineer, I will transform your work paradigm from 'reactive' to 'predictive' through a 'practical system' rather than mere theory. ① Optimization of Knowledge Exploration: AI Hybrid Workflow I help you become a strategic researcher rather than a simple searcher. By partnering with comprehensive Google Scholar and Semantic Scholar that penetrates the context of papers, I teach you a 3-step master plan that first sees the forest (big picture) then collects the trees (detailed materials), dramatically reducing research time. ② Innovation in Design Intelligence: Predictive Design and Digital Twin I guide you into the world of 'Predictive Design' that leaves no room for problems to arise. Through DFSS (Design for Six Sigma) and DFR (Design for Reliability), you learn how to secure perfect quality from day one of launch. I teach you the essence of engineering that completes thousands of tests in the virtual world before creating actual prototypes, utilizing Digital Twin and MBSE (Model-Based Systems Engineering), virtual twins identical to reality. ③ Visualization of Logic: Architecture of Ideas I define writing as a 'reliable system' rather than talent. I establish the framework of logic with the Pyramid Principle (Answer First) that presents conclusions first and the MECE principle without duplication or omission. Through CREC model-based power writing, I transform you into an 'architect of thought' who constructs solid paragraphs that persuade anyone upon reading. 3. How You Will Transform Through This Course After completing this course, you will no longer be a firefighter running around putting out fires. You become a strategic architect who foresees and prevents future failures and risks with data and systems. You evolve into an integrated expert who smoothly solves business challenges as complex as automotive systems from a systems engineering perspective. Beyond simple knowledge acquisition, you will become an independent leader who maximizes your metacognitive thinking ability by utilizing AI as a 'cognitive gym.' The outdated Fast Follower strategy is now over. Through this system containing my 40 years of field insights, I hope you will obtain powerful weapons to lead your next 10 years.

Hello. I am a powertrain engineer with 40 years of experience at large corporations and mid-sized companies (Hyundai Motor Group and parts suppliers), having served 18 years as an executive, CTO, and CEO, and I am now a retiree with extensive corporate management experience. I am Kim Hong-jip, who has accumulated field experience on the frontlines of fierce battlegrounds. Based on the insights and knowledge system I have personally acquired over decades, I would like to share my experience on how you can solve the problems of 'organizational dysfunction' and 'career stagnation' that you face in your professional life. 1. What problems do I solve for you? Many professionals feel that the company they work for is like a 'mental landfill' filled with all kinds of problems. Organizations have 'Seunglyang-i' (opportunists) who only look after their own interests and steal others' credit, and they pollute the organization with 'Bullshit' aimed solely at manipulating others, with no interest in truth. In such environments, the majority of sheep remain silent and accumulate only passive resentment called 'ressentiment,' eventually falling into a 'valley of death' where their careers seem to have stopped. I solve precisely these problems: survival in absurd organizational environments and finding breakthroughs for stalled growth. 2. How do I solve these problems? I solve your problems not through theory, but through three core strategies proven over 40 years. First, technical armament to become an 'autonomous being (pissed-off sheep)': I teach you how to neutralize the bullshit of opportunists through 'technical mastery'—overwhelming competence—and 'logical criticism' based on cold data, going beyond mere complaints. Additionally, through the mindset of 'elegant defeat,' which involves confronting the fear of dismissal or demotion head-on to gain inner freedom, I equip you with invincible armor that remains unshaken by any political pressure. Second, building a 'professional mindset' that reads Strategic Inflection Points (SIP): Beyond simply working hard, I help you develop the eye to detect '10x changes' that transform market rules. I provide execution guidelines (the 10 Commandments of Professionals) that help you escape from complacency that erodes yourself and your organization, view the world from a 360-degree three-dimensional perspective, build your own knowledge system, and connect it to actual results. Third, mastering social intelligence that penetrates human nature: You will learn how to convert inner emotions into fuel for rational thinking and how to decode the real intentions (codes) hidden behind others' masks. I will guide you on the journey to create a 'reality group' without being swept away by collective madness, take the initiative, and find an unwavering sense of calling through a higher perspective that encompasses your entire life. I aim to be a facilitator who helps you grow not as mere organizational parts, but as proactive masters with your own standards. My 40-year record will serve as clear navigation to help you cross your 'valley of death.'

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.

This course on RAG (Retrieval-Augmented Generation) 👉 doesn't stop at conceptual explanations 👉 but involves building actual working structures hands-on 👉 and experiencing expansion and advancement through practice-focused learning. Starting from simple RAG examples, you'll progress step-by-step from Advanced RAG → Modular RAG → Agent-based RAG to a level that can be immediately applied in real-world work environments.

This is a hands-on course where you learn Kotlin-based AI agent development by building a coding agent yourself. Using Koog, an AI framework built with Kotlin, you'll practice step-by-step how to implement coding agents like Claude Code, Cursor, and Junie. In particular, Koog is not just a simple server-side framework— it integrates naturally with Spring and has the scalability to connect with various environments such as Android, iOS, Desktop, and Web through Kotlin Multiplatform (KMP). By building intelligent agents that read, analyze, modify, and generate code, you'll learn about AI agent architecture, strategies, context handling, Tool integration, and more in a practical, hands-on way.

LLM and Agent, the fundamental technologies behind AI like ChatGPT. LLM is the technology that has come closest to AGI at this point in time. In this lecture, we explore LLM and Agent technologies from a general public perspective.

We explore how to create an AI judge by combining knowledge graphs, reasoning systems, and various agent frameworks such as CrewAI, LangChain, and AutoGen, which enable the implementation of LLM-based multi-agent technology.

We'll comprehensively cover all the hot topics in generative AI, LLM, and agents throughout 2025! Let's explore the trends in AI's remarkable development in '25, focusing on announcements from the three major AI developers (OpenAI, Google, Anthropic).

In the midst of daily overwhelming tasks and endless repetitive work, you've probably wondered, "Isn't there a smarter and more efficient way to do this?" Haven't you felt frustrated wasting time on drafting reports, repeatedly failing to find new insights in brainstorming meetings, and struggling to keep up with competitors' pace? Right now, the most powerful tool to solve those concerns has emerged. It's Generative AI. This isn't just a trending technology. It's the most fundamental productivity revolution of our time, and those who first capture and utilize this change will become the winners of future business. This course will teach you how to immediately apply Generative AI, which will become your most capable assistant on your desk, to your actual work. Let's set aside complex theories for now. We focus on **"So what can I do with this technology starting tomorrow?"** 💡 We'll help you reclaim your time and creativity. Our core goal is your **'work automation'** and **'creativity maximization'**. 90% reduction in report writing time: Learn how to delegate the creation of reports, proposals, and email drafts that consume your precious time every week to AI. Simply input key data and direction, and AI will immediately complete professional documents for you. You can now focus on being a strategic thinker and leader, not a document writer. Ideas that outpace competitors: Need new marketing campaigns, innovative product designs, or content ideas that captivate customers? Practice using AI as a partner to instantly generate dozens of creative alternatives and predict market reactions. Data-driven smart decision making: Don't get lost in countless materials. AI quickly summarizes vast amounts of data and provides key insights, helping you make strategic judgments based on data rather than intuition. 🛠️ 'Prompts' are the new language. Utilizing Generative AI well ultimately means being good at **'prompt engineering'**. Like commanding a capable employee, the skill of giving clear and specific instructions to AI determines success or failure. In this course, we'll teach you the core formula for **"how to ask questions to get the desired results."** You'll directly write customized prompts optimized for your role - whether you're a marketer, developer, or planner - and experience how dramatically different the results can be. This knowledge will become a core future competency that won't waver no matter what new AI tools emerge. 🏆 Through this course, you'll become a 'future businessman'. Generative AI is no longer a 'choice' but a 'necessity'. If you reject this technology, your competitors will work 10 times faster every day. But if you seize this opportunity, you can be reborn as a 'future-ready talent' who maximizes productivity, leads creative innovation, and dramatically boosts business performance. Don't fear Generative AI. What matters is knowing how to utilize it well. Start your work innovation journey through this course. It will be the one decision that explodes your business potential. Register right now and experience a new way of working where you work less and achieve more.

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

This is training on how to utilize Gemini provided in Google Workspace Business edition and above. It is not very helpful for individual users with id@gmail.com, and cannot be used with Google Workspace Starter either. It explains the features and methods of how Google Workspace Business and above users in companies can use Gemini for their work. The latest updates are continuously maintained. Please check for periodic updates or changes even after completing the training.

Learn the core techniques of 'Prompt Engineering' to get exactly the answers you want from AI. From a complete beginner's first steps to expert practical applications, maximize your AI utilization skills!

This course is designed to help learners master AI prompt engineering and confidently use ChatGPT and generative AI tools to solve real-world problems. Through my experience working with students, professionals, and entrepreneurs, I have identified a common challenge: many people use AI tools without knowing how to instruct them effectively. This often leads to inaccurate, generic, or unusable outputs. In this course, I guide learners step by step on how to communicate with AI the right way, using proven prompt patterns and practical examples. By combining clear explanations, real-life use cases, and hands-on techniques, I help students transform AI into a powerful assistant for writing, business growth, productivity, presentations, meetings, and creative work. This course focuses on practical results, not theory, so learners can immediately apply what they learn to their personal or professional projects.

6-Hour Complete All-in-One Course → Contains only essential services for immediate workplace application Practical AI Utilization Expert Program → Step-by-step learning from registration to advanced usage Carefully Selected Essential Workplace AI → Learn only the core essentials instead of 100 unused courses Monthly Latest Updates Provided → Never miss the changing AI trends Perfect Integration with Books → Lifelong AI learning possible without textbooks Latest AI Service List Provided (Notion) → Continuous expansion possible even after learning

This course covers the entire process of designing and implementing generative AI services centered on LangChain 1.0 and LangGraph through step-by-step hands-on practice. Beyond simple LLM calls, you'll directly implement operational AI system architectures that include agent-based architecture, state management, memory, streaming, middleware, and Human-in-the-Loop. Through hands-on practice with document/PDF/web data-based RAG systems, SQL Agent (Chinook DB), tool-calling-based Agents, Supervisor pattern multi-agents, and state machine-based workflows using LangGraph Graph API, you'll build reusable agent pipelines that can be immediately applied in real-world scenarios. Additionally, through structured output (Pydantic-based), agent middleware (Summarization, HITL, Retry, PII protection), and token/step-by-step streaming, you'll complete generative AI applications with the stability, scalability, and controllability required in actual services. 👉 For those who want to accurately understand the internal structure and execution flow of LangChain/LangGraph 👉 For those who want to implement RAG·Agent as a real service structure, not just a "demo" 👉 This is the optimal course for those who need a realistic practical roadmap covering state-based agents, SQL·document automation, and multi-agent orchestration.

This course is designed to teach the entire process of 'AI Training Data Construction,' which is essential for successfully executing AI modeling projects. Learners will not simply remain at the theoretical knowledge level, but will experience step-by-step the data construction processes required in actual practice. Specifically, the course covers the entire process from AI training data planning → acquisition → storage → preprocessing → labeling → pseudonymization and transformation through hands-on practice, structured to develop practical skills that can be immediately applied in the field. Additionally, learners will systematically study the most important data management capabilities in AI projects, such as data quality management and security issues, personal information de-identification processing, and dataset optimization. Through this, learners can grow from simple data collectors into data specialists who can proactively plan and execute AI projects. 👉 Through this course, learners will understand how to construct high-quality training data that determines AI model performance and acquire practical capabilities to effectively apply this in real work environments.

It's an era where you can create apps even without knowing how to code. If you have an idea, you can implement the features you want by conversing with Claude Code. This book introduces a new development approach where you communicate with AI to achieve desired results, rather than writing code directly. Through 15 hands-on projects, you'll experience various workflows with AI, from creating personal web pages to handwriting recognition, quiz apps, image-based recommendations, AI summarization, Notion automation, and cloud deployment. Rather than simply following examples, this provides an experience of completing the entire real-world development process—from planning, design, testing, to deployment—in collaboration with AI.

Microsoft Loop is a tool that revolutionarily transforms real-time collaboration and information sharing. In this course, you can easily learn everything from Loop's basic concepts to practical application methods, and integration with various Microsoft 365 apps. We provide a hands-on curriculum that can be immediately applied to various tasks such as team projects, idea organization, and work management. We guide you step by step so that even beginners can follow along, and we also share tips that can be used directly in actual work. Experience new collaboration with Loop!

AI Utilization Master Guide for Java Developers! This course breaks the stereotype that AI is exclusive to Python, and grants your Java apps AI's eyes, ears, voice, and coding abilities. Grow into an AI architect based on OpenAI API. Directly develop various AI specialists such as AI writers, translators, artists, and coding partners, and create a multifunctional AI assistant that integrates core features like text summarization, sentiment analysis, image description, Java code generation, voice/text conversion, and image/subtitle generation. Learn to assign roles to AI through system messages and even content moderation for harmful content - this is a golden opportunity to maximize the competitiveness of your existing Java systems.

Let's explore the types of applications or web services that can be built using LLMs.

You can transform your ideas into beautiful presentations in just a few minutes. No more spending hours worrying about slide design. With GAMMA's AI technology, you can dramatically improve your content creation process.

Are you confused about which technology trends really matter among the flood of information? We've analyzed global reports from Gartner, Microsoft, and others to clearly explain 10 key technologies (multi-agent systems, physical AI, AI security, etc.) that will define 2026.