How to prepare well for official Kubernetes certifications (CKA, CKAD, CKS)

Let's learn how to automate various environments (Linux🐧, Windows📱, and network📶 systems) through ensembles. 🥇 Through this, we can manage various systems by unifying them into ensembles. And we will learn how to enhance🧑‍🔧 the ensemble code we have written. In other words, we will learn how to write code to run more effectively🏃 faster.

This course contains the essential content needed for those truly starting with Kubernetes (☸). 🧭 Through this course, you can begin understanding Kubernetes structure in the easiest way possible. 🥇

It's structured so you can learn many parts of Kubernetes (☸) through illustrations. 🧭 In particular, it was written to provide even deeper learning of Kubernetes itself by expanding on the already proven bestseller 'Kubernetes/Docker for Building Container Infrastructure Environments'. 💯 Additionally, practical content is periodically added to the 'Supplementary Lessons'. 👉 Be sure to compare it with other courses :)

You will learn about domain purchase and deploying a Spring Boot production server using EKS, Docker basics, Kubernetes basics, AWS basics, CI/CD automation through GitHub Actions, ArgoCD, and general DevOps topics such as Prometheus/Grafana, etc.

In this lecture, you will learn about AWS ECS, one of the representative technologies of Container Orchestration! You will also build CICD with Github Action. However, you will not learn ECS from the beginning. ECS can be called the king of DevOps, so it can feel too difficult. So, in the beginning of the lecture, we will first cover the basics with AWS Lightsail, which has a relatively low learning curve among traditional virtual servers. You will also experience the limitations and inconveniences of the existing method. By building up with the basics and “Why” in this way, you will naturally learn Docker Containers and ECS!

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!

Aren't you at a loss as to where to start with backend development? Start backend development in one day with Juju!

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.

[Practical Node NestJS Course - Let's Develop a Service Together!!] You can do it if you learn Redis and Kafka based on Nest! Prisma is now a must-have in the field!

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.

Build a local LLM with RAG-based Q&A system in just 2 hours of hands-on practice using Docker + ollama + R2R framework. (Suitable for in-house/internal Q&A systems, personal portfolios, AI-powered work capabilities, and even commercial services)

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 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 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.

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.

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

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

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.

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.

In this course, you will be able to create a Reddit website from scratch, step by step.

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.

When you're doing backend development, at some point you face this dilemma. As services grow and traffic increases, there comes a moment when simple REST communication and CRUD structures feel limiting. I experienced the same problem in real-world work and went through many trials and errors between performance and structural complexity. The solution I chose in that process was NATS. Its simple configuration based on a single binary, ultra-low latency performance in microseconds, and the fact that it provides just the right amount of essential features for real work—from Pub/Sub to Queue Groups and JetStream—made it a very practical choice in actual service environments. This course is not about listing NATS features. Based on the problems I faced in real work, I explain with code and flow diagrams which situations led me to choose NATS, why, and how I designed the architecture. This is a course designed to help everyone—from those new to messaging systems, to backend developers preparing for jobs, to senior developers contemplating better architectures—understand distributed systems and grow to the next level.

Regardless of the field! This is a lecture that covers the core fundamentals that developers must know in practice in an easy + code-oriented way. I highly recommend this lecture to all junior developers and job seekers who want to grow.