Practical GitOps CI/CD with Jenkins and ArgoCD

I have created an introductory CI/CD course that is easy to understand even for non-majors and can be applied immediately in practice!

From Docker, Kubernetes to microservices, CI/CD, and service mesh, you can easily learn not only the basic theory but also the actual application implementation through examples. By organizing only the core contents necessary for actual use, it provides a starting point for learning about the element technologies covered in the lecture.

This is a hands-on introductory course where you can learn everything from Kafka installation to Producer/Consumer message transmission by following along with Spring Boot. Rather than focusing on complex theories, you will quickly understand the basic flow of Kafka—how messages are published and subscribed to through Topics—by writing and executing actual code yourself. It is suitable for beginner and junior backend developers who are integrating Kafka for the first time.

Through this course, you will experience application deployment automation. While deploying a project, you will also learn how to use Jenkins and gain basic knowledge about CI/CD!

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

I've created a cram course that will help you pass the AWS SAA-C03 (AWS Certified Solutions Architect - Associate) certification in just 2 weeks with only 163 questions!

This is a practical, hands-on course where you will learn the principles of AI Agents—going beyond simple chatbots that just answer questions to systems that can perceive situations, make judgments, and control actual systems. The curriculum is structured to provide a step-by-step understanding, starting from the differences between AI Agents and chatbots to the core Agent Loop structure: Sense-Think-Act, state management, planning, and feedback loops. Moving beyond theory, you will set up Windows and Linux development environments and gain hands-on experience with the basic structure of Kubernetes and kubectl commands. Following this, you will implement a process where an AI Agent detects server issues, analyzes the causes, and automatically resolves errors. Finally, by directly analyzing the Python code and internal logic of the Agent controlling Kubernetes, you will understand how AI Agents connect to and operate within real-world systems. From developers new to AI Agents to those who want to design Multi-Agents that control actual systems, this course allows you to learn both the principles and the practical implementation process of Agents.

"Turn your Java code into the hands and feet of AI! Practical Agent Development with Kakao PlayMCP and Spring AI" Traditional LLMs are limited to answering based only on their trained data, which can lead to issues with recency and accuracy. In this course, you will learn **MCP (Model Context Protocol)**—the next-generation standard protocol for connecting AI with external tools. Using Spring AI, you will build a server that communicates with various platforms like Kakao PlayMCP through a single implementation. Master the entire process from theory to real-world deployment and platform registration through the 'Proverbs & Psalms Counseling Center (JAMSI)' project, and grow into a true AI agent developer who can empower AI to handle tools independently.

A Redis course created with a current Kakao interviewer. From hands-on practice with data structures ranging from String to Sorted Set to Sentinel and cluster configuration, you’ll build design rationale that holds up in interviews and real-world work.

What is DevSecOps? Configure a CI build environment and an environment that automatically performs SAST checks during build

Have you wanted to implement RAG but felt overwhelmed by connecting everything from embeddings to vector storage and search? Based on real-world service development experience, this course explains the core concepts of pgvector and the service source code. By calling the API directly, you can quickly understand the entire flow of how RAG vector search works.

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.

[TPC DB!] A course that allows you to learn database modeling while thinking, learn database modeling step by step, and master everything from database modeling to web programming implementation all at once.

If you feel lost about what to learn in an era where AI writes code, you can find clear answers in the principles of UNIX and the kernel—the unchanging essence of systems. Through a practical project that integrates Node.js with a C language engine (FFmpeg), this course delivers the perspective of the top 1% of architects who command entire systems without being swayed by technology trends.

You will learn the criteria for distinguishing seemingly similar IT roles based on the nature of 'what they do' rather than just their titles. You will be able to grasp the reality behind confusing job names such as Backend, Infrastructure, DevOps, SRE, and Platform Engineer, and develop the ability to judge the nature of a position by reading job postings to set a career direction that suits you.

Python Web Development A to Z: Learning by Doing! Learn everything from web basics to blog development and deployment all at once.

Even beginners of Github can do it! Even beginners of Python can do it! Create a crawling web service that performs periodic crawling using Github Action.

This lecture covers how to easily implement game backend systems using UGS (Unity Gaming Service). You will practice essential features such as Guest and Username/Password authentication, game data storage, leaderboards, and Remote Config. UGS has built a perfect ecosystem with Unity, preparing a practical course for easy learning without entry barriers, allowing immediate application to your projects.

This course is designed for developers, DevOps engineers, cloud engineers, and IT professionals who want to master advanced Kubernetes concepts used in real-world production environments. Throughout the course, students will engage in hands-on projects and real-world deployment scenarios, learning how to build secure, scalable, and production-ready Kubernetes infrastructure. Rather than focusing solely on theory, this course emphasizes practical implementation, troubleshooting, and best practices utilized by modern DevOps teams. One of the biggest challenges students face when learning Kubernetes is understanding how all components interact within large-scale environments. Many learners struggle with topics such as RBAC permissions, persistent storage, namespaces, network policies, StatefulSets, Kustomize, and secure cloud deployments. This course addresses these issues step-by-step through clear explanations, guided labs, and examples that mirror actual production environments. Students will learn step-by-step how to organize Kubernetes resources, secure workloads, manage application configurations, deploy stateful applications like MongoDB, and automate multi-environment deployments using Kustomize. Additionally, the course covers how to deploy applications to Google Kubernetes Engine (GKE) and configure Ingress, TLS certificates, monitoring, and scaling strategies. By the end of this course, students will have the confidence to design, secure, deploy, and manage advanced Kubernetes environments used in professional DevOps and cloud engineering workflows.