LangChain - Develop Controlled AI Agent with LangChain & RAG

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.

The era of AI simply providing answers is over. Now is the age of LLM Agents that make decisions and take actions on their own. This course is an introductory lecture where you learn the core principles and structure of agents by implementing them yourself in just 90 minutes of hands-on practice. With minimal complex theory and a code-focused practical flow, you can directly experience "how AI makes decisions and uses tools." Beyond prompt engineering, let's take the first step into AI automation together.

What to Expect from This Course Welcome to LangGraph in Action, your ultimate guide to mastering the design and deployment of advanced AI agents using LangGraph. In this course, you’ll explore the fundamentals of building modular, scalable, and production-ready agents, all with a hands-on approach. From understanding the basics of LangGraph’s state-based design to creating a full-stack application, you’ll gain the skills needed to bring AI agents to life. Course Highlights State-Based Design: Dive into LangGraph’s core philosophy of nodes and edges to create structured, maintainable agents. Memory Management: Explore short-term memory with checkpointers and long-term memory with the Store object to enable agents that adapt and learn. Advanced Workflows: Build human-in-the-loop systems, implement parallel execution, and master multi-agent patterns. Production-Ready Development: Learn asynchronous operations, subgraphs, and create full-stack applications using FastAPI and Docker. By the end of the course, you’ll not only have a strong theoretical understanding but also the practical skills to deploy AI agents anywhere, entirely with open-source tools. Whether you're a developer aiming to stay ahead of the curve or a seasoned engineer looking to expand your AI toolkit, this course equips you for the rapidly growing field of AI agents. With the increasing adoption of AI agents in real-world applications, this course ensures you're prepared to design, build, and deploy advanced systems that solve practical challenges. Let’s start building and shaping the future of AI together!

RAG (Retrieval-Augmented Generation) from theory to the latest multimodal and agent-based RAG! This is a hands-on lecture designed to be understandable even for non-majors. From paper reviews to practical code implementation, it's designed so that even those encountering RAG for the first time can easily follow along.

You use ChatGPT, but haven't you found it difficult to explain why you get certain answers? "RAG, agents, fine-tuning... I know the terms but find it hard to explain them precisely" "I'm at a loss for words when I hear LLM-related terminology" "Explaining concepts in AI meetings is always vague" This course was created specifically for people like you. This course is a theoretical lecture designed to understand LLMs as a 'structure' rather than a 'tool'. It's not about how to use ChatGPT or Gemini, but about building a framework that allows you to explain why they work the way they do.

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.

Do you still code directly these days? Now is the era where even vibe coding is too much hassle! Become an AI automation expert with n8n without coding. A practical automation workflow design guide you can apply immediately at work Action-oriented automation strategies that maximize work efficiency. Build intuitive workflows with n8n and experience workplace innovation

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.

If you want to create your own AI service without coding, this course is the perfect solution. Using the Dify no-code platform, you can create high-quality AI apps with just your ideas. Instead of complex theory, it's structured around hands-on projects, allowing both AI beginners and working professionals to develop practical skills.

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.

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.

This course systematically teaches prompt engineering, a core technology for effectively utilizing Large Language Models (LLMs) and generative artificial intelligence. It comprehensively covers everything from foundational theory to practical techniques, as well as the latest application cases and security/ethical issues, providing practical help to LLM-based service developers, data scientists, and AI planners alike.

The Latest Trend in Generative AI, AI Agents! How to Stay Ahead with Cursor, which handles all development tasks, and MCP, which expands functionality!

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!

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!

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

Learn the easiest way to handle AI with Spring AI. Let's learn Spring AI by building a RAG chatbot.

AI writes on my Slack and Notion for me? Work smarter with MCP that surpasses the limitations of existing AI!

AI proficiency determines your salary. Leave those tedious repetitive tasks to AI 'Almost Everything About Work Automation' teaches you how to create automation systems that handle your work with just a few clicks, no coding knowledge required. You'll be freed from boring document work and data organization, and transform into an 'AI work expert' who stays ahead of others.

We invite you to the fascinating world of coding where you analyze and visualize financial statements using only prompts. Without a single line of code, you create and deploy a service in consultation with AI.

No coding knowledge required. Build it instantly in your browser with Google's latest tool (IDX)—no installation needed! Stop studying coding syntax! This is a high-speed practical course where you'll build an RAG chatbot that perfectly understands internal documents through AI conversation (Vibe Coding) in the Google IDX environment and deploy it live to the web.