From Introduction to Practice: Understanding DevOps and Docker Hands-on

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 is a Kubernetes guide for beginners who don't know anything about Kubernetes. It is written in a way that even beginners can understand.

We will teach you how to obtain certified Kubernetes certifications such as Certified Kubernetes Administrator (CKA), Kubernetes Certified Application Developer (CKAD), and Certified Kubernetes Security Specialist (CKS).

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.

Through this course, you can systematically learn core concepts such as basic Docker Compose concepts, the structure of the docker-compose.yml file, frequently used options, examples of multi-container application configurations, and how to utilize Docker Compose commands.

Ghost In the N8N - AI Automation Workflow (AI automation flow through the N8N framework) You will gain the foundational knowledge required for practical work and task automation in the AI era, along with guides that can be used immediately in the field!

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.

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.

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.

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.

Through this course, you can systematically learn core concepts such as an overview of Docker Events, practical use case 1: monitoring and alerts, practical use case 2: CI/CD pipeline automation, practical use case 3: security and auditing, and Docker Events filtering.

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

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.

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.