Gemini 3 ,Nano Banana , VEO 3.1: Master AI Video Creation

This course is based on a real production workflow behind a Breaking Bad–inspired cinematic animation created and published on my YouTube channel. Instead of showing only final results, I focus on explaining every step of the process in detail, including the decisions, techniques, and problem-solving methods used during production. Many students struggle to understand how all parts of a cinematic scene fit together — environment creation, animation, lighting, assets, and final assembly. This class is designed to solve exactly that. Through a 4-hour in-depth tutorial, I guide you step by step through the creation of two full scenes, sharing practical techniques, common mistakes to avoid, and a clear production workflow you can reuse in your own projects.

This course is designed to help students confidently create large-scale landscape scenes in Blender without feeling overwhelmed by complex workflows. Throughout the class, I guide students step by step, explaining not only what to do, but why each decision is made. Common beginner problems—such as scene scale, camera placement, managing large environments, and shader complexity—are addressed clearly and practically. By breaking the entire process into manageable stages, students can follow along easily while still learning professional techniques used in real environment production. The course starts with Blender basics and gradually introduces more advanced concepts like volumetrics, shader mixing, photogrammetry assets, lighting, and compositing. My teaching approach focuses on clarity, real-world dimensions, and efficient workflows, ensuring students can recreate the process on their own and apply it to future projects.

This course is designed to guide beginners through a complete cinematic workflow in Blender, from the first idea to the final rendered scene. Drawing from practical production techniques, the course focuses on solving common beginner problems such as inefficient modeling, overcomplicating textures, and struggling to achieve realistic results with limited time. Each step is explained clearly and recorded in real time, showing not only what to do, but why it works. Students will learn how to create a visually rich cinematic scene using smart low-poly modeling, collage textures, efficient UV unwrapping, and emissive shaders. The course also covers lighting, environment creation, volumetrics, and scene composition to achieve a moody, cinematic look. By following a structured, step-by-step approach, students gain confidence in Blender while learning time-saving techniques they can reuse in future projects. Only Blender is required, making this course accessible and easy to follow for beginners.

In this course, I guide students step by step through the complete process of creating a detailed cyberpunk-style scene in Blender, starting from Blender’s default cube and ending with a fully rendered, cinematic environment. Throughout the course, I focus on solving the most common problems students face when learning 3D, such as understanding the full modeling workflow, fixing UV issues, adding realistic imperfections, and creating convincing lighting and atmosphere. Every step is recorded in real time, with clear explanations of not only what to do, but why it is done that way. By combining hands-on modeling, texturing, scene building, lighting, and post-processing, this course helps students gain confidence in their Blender workflow and teaches them how to turn a simple idea into a polished, professional-looking scene.

This course is designed to help beginners confidently manage a VPS server and host professional websites without feeling overwhelmed by technical complexity. With over 5 years of experience working with WordPress and VPS-based hosting, I have helped many beginners solve common problems such as slow website performance, poor security, high hosting renewal costs, and limited control on shared hosting platforms. In this course, I break down complex server concepts into simple, step-by-step lessons that anyone can follow. You will learn how to purchase an affordable and high-performance VPS, connect a custom domain, install WordPress or other websites, secure your server, and manage everything using a reliable and user-friendly control panel. I also guide you through setting up Cloudflare for DNS, free SSL, CDN protection, automated backups, FTP access, database management, and a secure email server. By the end of this course, you will have the skills and confidence to manage your own VPS server, host multiple websites, and run a secure, scalable, and cost-effective web hosting environment.

This course is built from real experience teaching beginners who often feel lost when starting Unity and game development. Many students struggle with understanding how scripts work together, how game mechanics are connected, and how to turn simple ideas into a complete playable game. In this course, I guide students step by step, explaining every concept clearly and practically. Instead of overwhelming theory, we focus on building a real 2D space shooter game from scratch. Every script is written and explained line by line so students understand not only what to do, but why it works. The goal is to remove confusion, build confidence, and help students think like game developers. By the end of the course, students are able to understand Unity 2D fundamentals and confidently start their own game projects.

This course is designed to help complete beginners overcome the most common challenges in game development: understanding Unity, learning C#, and knowing how to turn ideas into real, playable games. Through years of teaching beginners, I have learned that students struggle most with complex explanations, disconnected theory, and lack of real practice. That’s why this course follows a clear, step-by-step, hands-on approach, where every concept is explained simply and immediately applied in real game projects. Students will build full 2D games from scratch, learning how to create player movement, enemies, levels, UI systems, animations, audio, and complete game flows. By the end of the course, learners will not only understand how 2D games work but will confidently create and export their own games using Unity and C#.

This course is designed for beginners who want to learn Unity 3D through a clear, practical, and problem-solving approach. Based on real teaching experience with beginners, this course focuses on explaining concepts step by step, in simple language, without assuming any prior knowledge. Common beginner problems—such as understanding GameObjects, movement, shooting logic, enemy behavior, and UI—are addressed carefully with hands-on examples and clear explanations. Instead of overwhelming students with theory, each lesson builds directly on the previous one, helping learners understand why things work, not just how to copy code. By following the full project from start to finish, students gain confidence and a strong foundation in Unity 3D by creating a complete and playable Space Invaders–style 3D game.

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.

This course is designed to help students move beyond theory and actually build real AI-powered marketing automation systems. Drawing from hands-on experience designing and implementing AI workflows, I focus on solving common problems students face—such as disconnected tools, repetitive manual tasks, inconsistent content creation, and lack of scalable automation. Rather than relying on abstract explanations, I teach through practical demonstrations and step-by-step workflows using n8n as the central automation platform. Students learn by building real marketing automations, AI agents, and multi-step workflows that connect ChatGPT, APIs, and business tools into reliable systems. By the end of the course, students don’t just understand AI automation—they know how to design, deploy, and orchestrate agentic AI workflows that solve real marketing problems efficiently.

This course provides a complete, concise, and practical introduction to Jira and Confluence for Agile project management. Based on real-world experience, I guide students step by step through setting up Agile projects exactly as Jira and Confluence were intended to be used. Throughout the course, I focus on solving the most common challenges beginners face: understanding Agile concepts, organizing backlogs, planning sprints, managing teams, and documenting work effectively. Instead of theory overload, I demonstrate clear workflows, real examples, and best practices that students can immediately apply in their own teams or organizations. By the end of the course, students gain the confidence to manage Agile projects, collaborate efficiently, and use Jira and Confluence as professional project management tools.

This course is built from real-world agile delivery challenges faced by Scrum Masters, Project Managers, and Product Managers who struggle with time pressure, unclear requirements, overloaded backlogs, and inefficient meetings. Through hands-on demonstrations and step-by-step workflows, I show students exactly how to use Generative AI tools—such as ChatGPT, Jira AI, Confluence AI, Rovo AI, and Fireflies.ai—to solve these everyday problems. Instead of theory, the course focuses on practical use cases: creating product goals, refining user stories, generating acceptance criteria, planning sprints, automating documentation, and improving team collaboration. Each lesson is designed to help learners apply AI immediately in their daily work, build confidence with industry-standard tools, and develop AI-powered habits that increase productivity, clarity, and leadership effectiveness in agile environments.

In this course, I guide students step by step through the process of creating a procedural city generator in Blender using Geometry Nodes, and using it to build a cinematic Batman-inspired scene. The course is designed to solve one of the most common problems beginners face: understanding Geometry Nodes and knowing how to apply them in real projects. Instead of focusing on theory alone, I teach through a practical, beginner-friendly workflow, explaining every step and decision in a clear and efficient way. Students will learn how to model optimized buildings, create flexible Geometry Nodes setups, control lighting through shaders, and finally compose and render a complete cinematic scene. My goal is to help students not only follow along, but truly understand how to reuse these techniques in their own future projects.

In this course, you will learn a complete CG and VFX workflow inside Blender by creating a cinematic Batman-inspired scene from start to finish. We begin by analyzing real movie footage from The Batman (2022) to build strong visual references for lighting, camera placement, and color grading. Step by step, you will learn how to block a scene, project camera footage, match CG with live-action, and smoothly blend both elements to achieve a cinematic result. Around 90% of the final scene is created in CGI, making this course ideal for learning how professionals combine live footage and CG efficiently. The course focuses on practical techniques, helping you avoid common beginner mistakes in lighting, camera matching, and post-processing. By the end of the course, you will have a complete cinematic shot and a solid foundation in Blender-based CG and VFX workflows that can be reused in your own projects.

This AI Literacy and Transformation Series (1) covers the following topics: 1. Data Center Cooling Innovation in the AI Era The Problem: The explosive power consumption of the latest AI chips (GB200, etc.) has pushed traditional air cooling methods to their limits, leading to AI performance degradation and massive operational cost issues. The Solution: Presents innovative liquid cooling technologies including Rear Door Heat Exchangers (RDCH), Direct-to-Chip (DTC) cooling, and immersion cooling. Additionally, provides strategies to simultaneously secure efficiency and sustainability through intelligent control systems that predict even leakage current and circular economy models that recycle waste heat for district heating. 2. The AI Paradox: Strengthening Critical Thinking to Awaken the Brain The Problem: The phenomenon of 'cognitive offloading'—outsourcing thinking to AI—is causing modern people's analytical thinking and literacy skills to rapidly deteriorate, creating a 'cognitive debt' problem. The Solution: Redefines AI not as a simple answer tool but as a tool for a 'cognitive gym'. Builds a system that makes you think first using critique, research, and synthesis agents, and strengthens metacognitive abilities as a 'helmsman' who determines direction rather than a passive passenger. 3. AI Memory Crisis: Next-Generation Architecture Design The Problem: The size of short-term memory storage (KV cache) required by AI is exploding, but expensive and limited-capacity HBM alone faces physical limitations in handling this data wave. The Solution: Presents a strategy for building a 'heterogeneous memory dream team' combining HBM, DRAM, CXL, etc. Provides solutions that dramatically lower corporate Total Cost of Ownership (TCO) by transferring smart system architecture design capabilities that balance capacity and cost rather than focusing on single component performance. 4. Palantir Ontology: Actionable Data Intelligence The Problem: Data is overflowing but fragmented, creating a 'data graveyard' problem where it fails to translate into actual decision-making and execution, blocking corporate innovation. The Solution: Gives data context and meaning through an 'Ontology' engine that maps physical assets to digital representations. Realizes data democratization where field personnel can directly command business without IT department assistance through 'Action Types (execution capabilities)' that immediately reflect analysis results into operational systems. 5. The Great Rewiring: AI Intelligence Stack Strategy The Problem: As the technology paradigm fundamentally shifts from the Internet era's 'deterministic computation' to the AI era's 'probabilistic prediction', existing business structures are being completely shaken. The Solution: Clarifies the reality of change through a '5-layer Intelligence Stack' map connecting semiconductors to applications. Provides a strategic decision-making framework for determining whether to Build or Buy AI capabilities, drawing a roadmap toward autonomous operating enterprises. 6. Forgetful AI: Maximizing Potential Through Feedback The Problem: AI's 'catastrophic forgetting' phenomenon where learning new information causes it to forget existing knowledge, and communication problems where unilateral commands prevent AI from performing properly. The Solution: Teaches 'coaching' and example-based dialogue methods instead of commanding AI. Transfers techniques for becoming a scientific training partner that enables AI to acquire new capabilities while maintaining existing knowledge through gradual feedback techniques that minimize behavioral change shock (KL divergence). 7. Engineering Financial Intelligence The Problem: Financial systems that remain stuck in past bookkeeping records and regulatory compliance cannot optimize capital allocation for an uncertain future. The Solution: Transforms into a 'dynamic scenario planning (war game)' system that computes thousands of variables in real-time using generative AI. Helps CFOs evolve beyond simple managers into strategic architects who design corporate value through 'Financial LLM' utilization methods that convert simple numbers into strategic signals.

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.

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.

Generative AI for Designers🧙‍♂️ We reveal practical know-how to maximize design work efficiency with generative AI like Canva and Midjourney.

I worked so hard to create this, but why the heck isn't anyone watching? Can you relate? Selfish Club felt the same way. From the selfish membership to the GTA project, the more we wanted to promote, the more boring Selfish Club's content became... Wait, but this can't be a struggle only we're facing, right? Let's go through more trial and error and mess up more We decided to directly experience what makes truly 'viral content' different. So we can save your time and money, we'll share all the strategies and insights we gained from our own struggles!

This course covers everything from the basics to hands-on practice of AI platforms, and is a program where you can learn AI image generation technology. Learners can understand the fundamental concepts of AI and develop the ability to generate AI images using various tools and technologies. Through this course, you can enhance your understanding of the AI field and learn how to directly generate AI images in real-world applications.

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.

This course is an AI music generation introductory program designed so that even learners who are new to artificial intelligence (AI) technology can easily understand and follow along. Through the lectures, you will learn the basic concepts and usage methods of AI platforms, and proceed step-by-step through hands-on practice to create your own music using these tools. Going beyond simply pressing buttons to make music, this course guides you to understand the principles of AI models and the key factors that influence music generation, and to complete creative results by adjusting the desired atmosphere, genre, and instrumental composition. Upon completing the course, you will gain confidence in using AI in a friendly manner, along with AI music generation capabilities that can be applied to various fields such as daily life, projects, and content creation.

AI is no longer a choice, but a matter of survival. Reduce development that took 3 days to 30 minutes, delegate repetitive tasks to AI, and focus on solving more important problems. With AI-native development methods that you can apply immediately in real work, not just theory, we'll show you the definitive way to be recognized as a "developer who's good at AI" at your company.

As AI rapidly permeates daily life and industries, attack techniques targeting these systems are evolving alongside them. This course is a practical, hands-on program designed to help you understand the latest security threats surrounding Generative AI and LLMs, automate security tasks using AI, and experience LLM jailbreak attacks and defenses firsthand.

This course is built from real-world agile delivery challenges faced by Scrum Masters, Project Managers, and Product Managers who struggle with time pressure, unclear requirements, overloaded backlogs, and inefficient meetings. Through hands-on demonstrations and step-by-step workflows, I show students exactly how to use Generative AI tools—such as ChatGPT, Jira AI, Confluence AI, Rovo AI, and Fireflies.ai—to solve these everyday problems. Instead of theory, the course focuses on practical use cases: creating product goals, refining user stories, generating acceptance criteria, planning sprints, automating documentation, and improving team collaboration. Each lesson is designed to help learners apply AI immediately in their daily work, build confidence with industry-standard tools, and develop AI-powered habits that increase productivity, clarity, and leadership effectiveness in agile environments.

This course is a hands-on program for implementing generative AI applications based on text, images, voice, and documents using the OpenAI API. Starting from setting up the Anaconda and Jupyter Notebook environment, it covers essential development environment configurations for practical work, including API Key management and understanding costs and tokens. Based on the latest Responses API, you'll implement text generation, summarization, classification, Vision (image understanding), voice processing, and PDF input processing, while practicing core features used directly in the field step-by-step, such as Function Calling, Structured Outputs (Pydantic), Embedding, and RAG (File Search). Additionally, including Web Search, Code Interpreter, Streaming, Background tasks, and Conversation State management, you'll learn how to expand beyond simple API calls to 'intelligent AI services'. Finally, the goal is to implement agent-based AI systems that autonomously select and execute tools using the Agents SDK and MCP (Model Context Protocol), while learning the structure and design perspectives necessary for actual service development.

The first publicly released ChatGPT open source GPT-OSS - Get a taste of it faster than anyone else. Learn what GPT-OSS is and run it locally to create an overwhelming advantage with GPT-OSS faster than anyone else!

ChatGPT, become a creator using generative AI!

Artificial Intelligence, AI, agents... They might seem grand, but once you try them, they're not as difficult as you think. That's why it's important to implement simple features yourself. Through practical projects that can actually be used at a company, you'll directly experience various use cases and learn how to utilize and apply AI agents.

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.

The real story of an AI-native company run by GolbinHacker, the 1st place winner of Kakao AI TOP 100 and author of the bestseller "The Best Prompt Engineering Lecture." It explores how just two developers build and operate a service, along with the new competencies developers and organizations need in the AI era through real-world cases.

AI Era: Opportunities and Mindset for Knowledge Entrepreneurship Made Easy with Writing and Media Creation (Prompt Engineering, Gemini, Kling) No coding knowledge or AI experience required! All you need is your own experience and ideas. Learn practical methods to combine your professional expertise with AI tools to create digital content. Based on this foundation, you can create your own content and get significant help with various digital businesses you've wanted to try.

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 AWS Certified AI Practitioner practice exam course is a core summary program for passing the certification. First, you'll quickly review the fundamental concepts of AI/ML and generative AI, and learn about the features and use cases of AWS's major AI services that frequently appear on the exam (e.g., SageMaker, Rekognition, Polly, etc.). Based on this, you'll practice determining which AI solutions are appropriate for various real-world problem scenarios, and also cover content related to responsible use of AI models and data security. Finally, you'll learn problem-solving strategies by question type and prepare for the exam through practice mock tests. Through this course, you can efficiently prepare for the exam in a short amount of time.