Guide to building a virtual environment for multi-OS use (Docker + Kubernetes)

This is a course on developing microservice applications using the Spring Cloud suite from the Spring framework. You will learn how to use and configure Spring Cloud as a Cloud Native Application.

This course covers the process of developing a RESTful Web Services application using Spring Boot, and you can learn the basic knowledge required for designing a REST API.

This course covers CI (Continuous Integration) and CD (Continuous Deployment) pipelines, which are one of the four core elements (MSA, CI/CD, DevOps, Container) that make up cloud native applications. Through this course, you can understand and practice the processes needed to build and deploy your own automated pipeline in both local and cloud environments using Jenkins, a CI/CD tool.

This course explores MSA design patterns, implementation strategies, and various content crucial for microservice application development. You will acquire core knowledge and practical methods for successfully converting existing monolithic applications to MSA. You will analyze diverse design patterns underpinning microservice architecture, learning their suitable contexts and application methods.

This course is a process of learning about container virtualization technology, one of the four components that make up Cloud Native Architecture. It is a learning process that understands the basic concepts of container virtualization, which is the best way to deploy and operate Microservice applications, and covers Docker technology, which is the most widely known container virtualization technology. In addition to theoretical learning about the essential content required to deploy and operate applications developed in MSA form, you can understand how actual Docker containers work through related practical examples. In this course, you can also learn about various elements such as Docker Security and Logging that have not been covered in other existing lectures, and in the final practical project, you can build services (Harbor + Argocd) that can be linked to Docker technology and deploy applications to practice the core operating environment required for DevOps.

We will introduce the SW required for developing web applications using Java, and learn how to install and use the required SW. We will also introduce the setup process and execution method for starting Java web programming in IntelliJ IDEA Community, a programming development tool from Jetbrains (https://www.jetbrains.com/). Through this lecture, you can practice the basic process and tools used for developing web applications.

This lecture introduces the setup process for starting web programming in IntelliJ IDEA, a Java programming development tool from Jetbrains (https://www.jetbrains.com/).

Learn from the beginning how to set up a development environment that even an ordinary office worker can easily understand. It is practice-oriented and focuses on students learning various development tools such as Vim, VS Code, Git, Docker, and remote development. You can learn how to build an efficient development environment by learning step-by-step from the basic usage of each development tool to advanced functions.

Docker Compose always appears when you actually try to use Docker! You can learn what it is good for and how to use it through practice.

This is a concept-focused lecture for beginners who are new to Kubernetes. It explains step-by-step from the background of virtualization technology to Kubernetes components, structure, and operating principles. You can easily understand Kubernetes concepts and operating principles even without hands-on practice.

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.

You can quickly experience the process of deploying a sample e-commerce service to AWS and continuously improving it into a robust and efficient environment.

Let's implement a web service modeled after Pinterest's unique card-type layout design using Django, Python's representative web framework.

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.

This is a course to comprehensively understand 5G networks. We will look at the evolution from 1G to 5G and learn about the characteristics and architecture of networks including 5G RAN and 5GC.

Ghost In the N8N - AI Automation Workflow (AI automation flow through the N8N framework) You will gain the foundational knowledge needed for practical work & business automation in the AI era, along with guides you can use immediately in real-world applications!

This course systematically teaches practical Docker skills (installation→operation→automation→security) and comprehensively covers the latest security threats and countermeasures in each section. It features a hands-on approach where you learn by following along with practical exercises. This curriculum is highly recommended for DevOps engineers, infrastructure engineers, and security practitioners who want to experience the latest container/cloud environments in real-world scenarios.

This course is built from real-world experience designing and deploying production-grade LLM applications on Azure. Rather than focusing on toy examples or isolated notebooks, I guide students through the exact challenges they face when moving from experimentation to real systems: data ingestion, vector storage, service orchestration, cloud deployment, and security. Throughout the course, I break down complex Azure services into clear, practical steps, explain why each architectural decision is made, and show how components work together in a scalable system. Students learn by building, debugging, and deploying a complete LangChain-based application, gaining confidence in solving real infrastructure and application-level problems.

This course is designed to help you quickly learn server zero-downtime deployment methods using Nginx, Docker, and Spring Boot through hands-on practice. Learn Blue-Green deployment, which is frequently used in real-world scenarios, faster than anyone else!

This is not a lecture that simply memorizes commands. It's a practical introductory course that helps you intuitively understand the 'flow' of technology - why containers emerged, how Docker creates and runs images based on what principles. Even if you're encountering Docker for the first time, after taking this course, you'll be able to explain "why containers are a necessary technology" on your own.

A solo IT startup founder and solo entrepreneur's experience distilled into an honest, straightforward, intuitive, and deep React + Spring Boot course (Docker, AWS, GitHub Actions) I just unified everything into this one course.

Packed with LLM Fine-Tuning Know-how, learned from Silicon Valley LLM Project Practitioners.

Instead of long and boring theories, you can learn them one by one through short practical exercises, and as you flesh them out one by one, you will soon be able to experience the overall architecture composition.

It explains almost everything surrounding the cloud in an easy-to-understand manner. If you listen to it before the actual practice, you will be able to understand development or infrastructure cloud well.

This is a DevOps course based on practical experience in Silicon Valley. It goes beyond theory to cover content that can be applied immediately in the field. You will learn how to develop using Generative AI (Vibe Coding), set up CI/CD tools in a Kubernetes environment, and implement strategies to keep operating costs at $0. We will cover configuring a production environment without additional costs by running DB, Redis, S3, and batch jobs inside Kubernetes, and you will master building automated pipelines using GitHub Webhooks and Jenkins through hands-on projects.