Learn the core HTTP features essential for practical use and how to design proper HTTP APIs.

This course is designed to use only personal PCs and laptops. You can directly implement CI/CD automation processes by applying GitOps methodology in a k8s environment without using cost-incurring cloud environments like AWS or GCP.

From HTTP basics to data requests, real-time communication, security, and performance optimization, learn the network knowledge web developers must know.

This curriculum was newly created for Kubernetes beginners, made with the intention of explaining it to a colleague who is encountering Kubernetes for the first time. Rather than just commands, you'll learn from cloud native concepts and understand the operating principles of Kubernetes.

This is a career guide course that covers the entire process of landing a developer job or switching careers, including resumes, portfolios, technical interviews, and behavioral interviews. The theory section outlines the process of finding the right company for you, analyzing job postings, and preparing for interviews and coding tests.

It was created to solve the "overwhelming problem of not knowing where or how to start with Kubernetes." Based on hands-on experience operating financial infrastructure, it is designed to help you understand the actual build and operation flow rather than just simple theory. Through a learning process that covers the relationship with Docker, YAML, Pods, Deployments, and Services, learners will master Kubernetes not just as a "concept," but as a "usable skill."

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.

This course is designed to help learners build solid AWS cloud engineering and architecture skills through hands-on projects and practical demonstrations. Students will learn how to build secure AWS environments, manage scalable computing infrastructure using EC2 and Auto Scaling, configure networking via VPC and Load Balancers, and implement cloud-native storage and database solutions using S3, Aurora, and MySQL. Throughout the course, I will guide students step-by-step using hands-on labs, architectural explanations, and real-world deployment scenarios commonly used in modern cloud environments. I focus on simplifying complex AWS concepts into easy-to-understand lessons while helping students avoid common mistakes made during cloud deployment, security configuration, and infrastructure scaling. By the end of this course, students will not only gain the confidence to design secure, scalable, and cost-effective solutions on AWS but will also be prepared for the AWS Solutions Architect Associate certification exam.

You can learn the basics of AWS and Terraform usage simultaneously. You can become familiar with them through hands-on practice.

Based on my experience starting as a non-major and working my way from startups to major corporations, I have compiled job search strategies and execution methods that have proven effective in practice.

Learn the fundamentals of the web, networks, and HTTP that every developer should know, in a code-based, real-world, data-driven way.

Understand the security settings of major AWS services through architectural diagrams, and gain hands-on experience with their operating principles through practical exercises and security scenarios.

✅ Among the series of (1) ~ (7), (7) web applications, networks, clouds, WWW, information security ✅ CS101 series lectures - From basic computer theory to the latest practical examples - Provides a wide range of basic knowledge

"AWS deployment tutorials - have you ever followed them without knowing 'why' you're doing it?" If you've launched services by following the countless deployment tutorials on the internet but are only performing repetitive tasks, the next step of designing entire systems might feel overwhelming. We don't just learn how to use AWS, but study the CS (Computer Science) principles that form the foundation of cloud services, including VPC, NAT, load balancing, and MSA. Upon completing the course, you'll be able to answer the clear 'Why' behind each action you perform in the cloud. You'll no longer be a junior developer performing simple repetitive tasks, but will take your first step toward becoming a senior architect who designs fault-tolerant and scalable systems.

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.

Learn how to develop cloud-native applications using Kubernetes, the standard for container orchestration. From core Kubernetes concepts to actual application deployment and operations automation, you can acquire practical skills that are immediately applicable in the field. Learn how to build efficient resource management and deployment processes by integrating development and production environments.

Running MongoDB on Kubernetes is different from simply putting it in a container. There are many things you can only learn by dealing with storage, networking, permissions, and high availability firsthand. This course covers the entire process of configuring and operating MongoDB using the PSMDB (Percona Server for MongoDB) Operator in an AWS EKS environment. The goal is to directly build a production-ready configuration, from cluster setup to Replica Set configuration, backup, and monitoring.

Learning Network Basics through Stories, You Can't Learn Network Basics Easier Than This. It's a really easy network basics lecture. And if you take all the lectures, you'll have a basic understanding of networks!

What should you do if you want to appeal to your "development capabilities" rather than just your "specs" during the developer document screening process? This lecture focuses on teaching you how to write a resume that can increase the pass rate for developers who have excellent "development capabilities" but struggle to get interview opportunities. We will show you how to document your "development capabilities" in your resume, including SI company experience, academy courses, and personal portfolios.

Want to work for a long time as a super developer who can handle the entire process of service development and operation on your own? Then build a solid foundation in IT infrastructure knowledge from the ground up, which is just as important as various development languages!