Masterclass 2026 – Building Multichannel AI Customer Support Agents with Make (No-Code) from Scratch

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#.

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.

Course Summary: This course teaches Java and Spring Boot developers how to design, build, and maintain Retrieval-Augmented Generation (RAG) systems at production level. Using Spring AI, PostgreSQL, and Redis, you will learn how to create robust pipelines for ingestion, chunking, embeddings, and retrieval, while orchestrating LLM behavior with reliable prompts. I share my backend engineering experience to help students solve common challenges: data inconsistency, inefficient retrieval, and unreliable prompts. By the end, you will be able to build a fully functional and maintainable internal knowledge assistant, with scalable, production-ready code.

This course is designed to help developers who feel overwhelmed by Docker, Kubernetes, and cloud deployments finally understand and apply DevOps concepts step by step. Based on real-world experience deploying containerized applications to production, I guide students through hands-on labs, clear explanations, and common mistakes beginners face. You will start from the basics of Docker and Kubernetes, build real containers, deploy applications locally, and then move confidently to Azure Kubernetes Service (AKS) with CI/CD pipelines using Azure DevOps. Every concept is explained practically, with a strong focus on “why” and “how”, so you don’t just follow commands—you actually understand what you’re doing and how to use it in real projects.

This course is a complete and structured journey into MySQL, designed to take students from SQL fundamentals to advanced database concepts. Through clear explanations, step-by-step demonstrations, and practical examples, common difficulties such as writing correct queries, understanding joins, or structuring databases are addressed in a simple and progressive way. The course focuses on hands-on learning: each concept is explained, demonstrated, and reinforced with realistic use cases. Students learn not just what to write in SQL, but why it works and how to apply it confidently in real-world database scenarios. By following a logical progression—from basic syntax to advanced features like transactions, views, indexing, and optimization—students gain a deep and practical understanding of MySQL that they can immediately apply in projects or professional environments.

In this course, I share my real-world experience building production-ready GraphQL APIs using Apollo Server, Node.js, Express, and MongoDB. Over the years, I’ve helped developers move from REST to GraphQL by breaking down complex concepts into clear, practical steps and solving common pain points such as authentication, pagination, performance optimization, and schema design. This course focuses on hands-on learning. You will build a complete GraphQL API from scratch, implement JWT authentication, design scalable schemas, and optimize performance using DataLoader, batching, and caching. Each concept is explained with practical examples so you can confidently apply it in real projects.

This course is a complete bootcamp designed to teach Android application development using Kotlin from scratch. It is structured to guide students step by step, even if they have no prior programming experience. With years of experience in programming and teaching, the instructor focuses on solving the most common problems students face when learning Android development. Each concept is explained clearly through practical examples, hands-on exercises, and real projects. Students will not only learn theory but also understand how to apply it to build real Android applications confidently.

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 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.

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.

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.

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, 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.

Understand the difference between Copilots and Agents, and create Agents you can use immediately in your work, such as prompt coaches, translators, and internal regulation Agents. Maximize work efficiency by solving time-consuming problems like repetitive tasks, document organization, and meeting management with customized Agents that even non-experts can build.

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.

I used to spend hours writing blog posts too. I wasn't good at writing, and it would take me 30 minutes just to come up with a title and an hour to create a thumbnail. When I factored in writing social media posts, it sometimes took half a day to complete a single article. I was good at speaking, but struggled to organize my thoughts into writing. While I enjoyed audio content creation, the task of turning it into blog posts felt daunting, so I always put it off. But everything changed after I started using Google Opal. Simply by uploading an audio file, the blog content, title, thumbnail, and social media posts are all automatically generated. Moreover, by having it reference my own writing rules, it generates text that feels authentically "me" and not "AI-like." In this course, you'll be able to create the same workflow I actually use, taking the shortest route possible. No programming experience required. You can create AI apps just by giving instructions in Japanese. Even if you don't do audio content creation, that's fine. Just talk about a blog topic that comes to mind on the spot, and your article will be complete. You no longer need to spend hours agonizing over writing. Just speak, and your blog post, thumbnail, and social media posts are complete. That future starts today.

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.

This practical introductory course is designed to help office workers utilize generative AI not just as a simple tool, but as a strategic business partner. The objective is to develop the ability to use AI safely while complying with security and copyright standards, based on a precise understanding of its operating principles and limitations. Participants will learn step-by-step—from the core principles of prompt engineering to streamlining text-based tasks such as planning, reporting, emailing, and drafting meeting minutes, as well as Excel data analysis and the utilization of images and PDF documents. This course helps drastically reduce time spent on repetitive tasks and empowers individuals to handle multiple roles effectively. Going beyond personal use, the curriculum covers how to build team-level work templates and standards. This practice-oriented program is structured to ensure that upon completion, participants possess immediate, applicable workflow automation assets that lead to increased productivity for the entire organization.

Innovation in Work Efficiency and Creativity – Agentic AI AI is now evolving beyond simple automation into a new stage where it can judge and execute on its own. Agentic AI is at the center of this change, serving as a core technology that helps businesses and organizations operate smarter. In this course, we have organized the content clearly and simply so you can understand how Agentic AI connects decision-making with execution and how it can be applied to practical work. Discover the essential knowledge for every professional preparing for the future right now.

You can learn everything from basic usage of generative AI to automation and creating customized AI chatbots for practical work applications all in one comprehensive course.

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

Do the words 'automation' and 'CRM' alone make you feel like they're difficult and complicated? We also didn't know much about automation and were complete beginners who had no idea where or how to start using Make! In this sharing session, we'll reveal in detail the actual process of how we, who had absolutely no knowledge about automation or CRM, used Make, a no-code automation tool, to easily and quickly build an automation system and achieved over 3,500 conversions using only AI-powered personalized CRM strategies. If you've been thinking automation is too difficult and haven't even tried it, take this opportunity to gain practical know-how that you can follow along with without any burden!

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.

Do you want to implement marketing automation but don't know where to start? Are you struggling with CRM, email marketing, and AI tools operating in silos, or seeing customer data pile up without an increase in conversion rates? This course guides you from start to finish on how to create a marketing automation system that "actually leads to sales" using CRM and Generative AI. By integrating practical tools such as ChatGPT, Zapier, Kit (ConvertKit), ElevenLabs, and HeyGen, you will build a hyper-personalized CRM workflow that segments customers → automatically delivers personalized messages → and maximizes conversion rates. Consisting of field-proven cases and step-by-step practices rather than just theory, even beginners with no marketing experience can build a complete CRM automation system by following this course.

AI will not replace people. But 'you utilizing AI' will replace all who don't.

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

Perplexity makes AI research a given, now complete strategic reports too! Proven '10-minute' work automation practical class with real results

This content provides a practical guide to effectively utilizing generative AI for public institutions and non-profit organizations. It is designed to provide step-by-step specific application cases such as information summarization, document creation, and work capability improvement, starting from the basic principles of working with generative AI, so that learners can immediately apply the utilization method suitable for each situation.

You don't have to learn difficult coding to develop. Learn how to understand Power Apps and create mobile apps that will be used in real companies by creating three mobile apps that your company needs with Power Apps.

Automate YouTube Shorts creation with AI!! Learn how to automatically create YouTube Shorts using n8n from scratch. We will personally build a workflow that handles everything at once: Text → Image/Music → Video Creation → Uploading. Practice includes distinguishing between test/production modes and tips for saving costs. By the end of the lecture, you will complete 3 automation templates that can be used immediately. We will learn step-by-step, starting from node placement, so you can follow along even without coding knowledge. Join us in automating AI YouTube Shorts production!

Adding Copilot to MS Office? The perfect guide to maximizing work productivity! We provide a systematic learning process for effectively utilizing M365 Copilot in practice.

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.

# Silicon Valley Internship That Won't Get Cut Even in the AI Era & Complete Course on 30 Big Tech System Designs & Open Source Practical Contributions All students who submit course missions can apply for an AI startup internship in Palo Alto, USA, with exemption from document screening and guaranteed interview opportunities. This course involves designing and scaling 30 real-world system designs based on big tech cases including Netflix, Tesla, Meta, and Tinder. Finally, you'll design your own service from architecture → DB → scaling, contribute to an actively operating open source AI coding agent project (achieving 1.8k downloads per week) to complete your portfolio, and finalize your resume.