Full-Stack Chat Application Masterclass: React, Node.js, MySQL, Redis, Docker & AWS CI/CD

‘Where and how should I store files that look like images? Should I store them in a database? Or on a server hard drive? How can I reduce server load? How can I quickly load many images without stuttering? AWS S3? CDN?! I just want to store and load images, so why are there so many elements? What role do each of these elements play, and how should they be combined?’ I will teach you all the necessary elements related to image files, from start to finish, as a full stack :)

This course is Part 3 of the Full Stack lecture series, designed to help you solidly master the latest server technologies and Docker. The course is structured to enable you to practically incorporate Docker into your tech stack by meticulously testing Docker's various options, learning related technologies such as Linux that are necessary for understanding Docker, and building actual complex services.

3D Globe Article Service with ThreeJS and SpringAI | Neo + Essential Create your own 3D globe article service using your personal chatbot and ThreeJS!

Introducing a DevOps course based on hands-on case studies experienced directly on the front lines of Silicon Valley. This course goes beyond mere theory and covers CI/CD-related tools in a K8S environment that can be applied immediately in real-world engineering fields.

This course covers the entire Critical Rendering Path (CRP) process, from the moment the browser receives HTML to create the DOM, to combining it with the CSSOM and painting pixels on the screen. Moving beyond simple DOM manipulation, you will learn how CSS and JS impact performance, as well as practical strategies to noticeably improve real-world web performance—including image and font optimization, Lazy Loading, Intersection Observer, virtual lists, and hands-on practice with DevTools.

This lecture is an AWS Cloud and DevOps One-Day Class. The content of 370 pages of PDF has been transferred to a text lecture.

Have you ever thought about building a 'real system' beyond simply rendering screens? The real problem many developers commonly face is something else entirely. It's the limitation of a 'fake full-stack'—where things look plausible on the surface, but data synchronization frequently tangles, speed is frustrating, and you lose track of where to even start when just a few features are added. This isn't a problem that can be solved by simply memorizing one more Next.js feature. This course will resolve that frustration from the roots. Encyclopedia-style classes that just list features are boring, aren't they? Instead, we have tightly integrated the fundamental principles of Computer Science (CS) with the advanced architecture of Next.js. We will directly transplant into your fingertips the enterprise-level design skills required to flexibly withstand millions of visitors and maintain perfect data consistency.

I've heard a lot about how great Docker is, but I wrote this for those who can't get started because the concepts are too difficult. The lecture provides concepts and simple examples that I think are necessary to make good use of Docker.

We solve the fundamental problem of losing control amidst AI-generated fragmented code and the complex React ecosystem by opening the hood and engineeringly analyzing the internal workings of core React libraries such as Zustand, TanStack Query, React Hook Form, Zod, and the React Compiler. By moving beyond simple tool usage and mastering how to directly manipulate the performance and data flow of the React engine, you will build the solid 'enterprise architecture design muscle' necessary to respond immediately to any crisis.

We will inform you about all the security aspects of migration using MySQL and direct operation of DB Server.

A former AWS employee explains what a well-architected framework looks like within AWS. We will cover how to build an architecture that starts small and scales to handle massive traffic. You will learn various AWS services through a hands-on approach, solving the diverse challenges encountered when designing architectures for high availability and security.

"Next.js Master Class: Part 3 - Completing Real-World Architecture" goes beyond tutorial-level projects that only run locally; it is a guide to designing "real production" architectures capable of handling massive traffic. It covers all the core technologies used in the industry, from flawless state synchronization combining TanStack Query and Zustand, to Turbopack-based bundle optimization under 100KB, advanced SEO injection, and building ironclad full-stack security networks using proxies and JWT sessions. I strongly recommend this course to those who want to overcome tedious hydration errors and CORS barriers on their own, moving beyond being a simple coder to becoming a "Senior Architect" who commands the entire frontend system.

In this course, you will learn how to test React applications.

This is a 'Practical Linux Troubleshooting Course' where you analyze and solve problems together with generative AI, based on a Docker practice environment that reproduces 5 representative failures that occur in actual Linux operating environments. Even those who were overwhelmed about where to start examining problems can learn the problem-solving approach and thought process of field engineers through AI guidance.

A Complete End-to-End Developer Journey — Build Lightning-Fast APIs, Modern Frontend Interfaces, Real Projects, Authentication Systems, Dashboards & Full Deployments Using FastAPI, React, and Vibe Coding Techniques.

This is not just a lecture for memorizing commands. It is a practical introductory course designed to help you intuitively understand the "flow" of technology—why containers emerged and the principles behind how Docker creates and runs images. Even those new to Docker will be able to explain for themselves "why containers are a necessary technology" after taking this course.

Based on the experience of wondering how facial recognition works in offline environments on-site, this course will guide you through building the basic structure of a facial recognition-based access and attendance management system using React + Electron and Python's FastAPI-based DeepFace. Rather than focusing on perfection, we focus on understanding the operating principles and laying the foundation for you to expand into your own personal projects.

The real world is unforgiving. I will thoroughly pass on my optimization expertise through a meticulous mission system, showing you how to design smooth user experiences even in extreme environments where tens of thousands of real-time data points pour in. Go beyond simply writing code and leap forward to become an irreplaceable senior engineer who dissects performance through understanding engine principles.

This lecture introduces serverless systems through AWS Lambda, and creates an image processing end system with OpenCV, an image processing library, and expands it with an API.

The goal is to acquire basic knowledge of React Native for mobile app front-end development. This course is designed to enable non-experts to easily develop native mobile apps by utilizing languages/APIs with low entry barriers.