Essential development environment guide that even an ordinary office worker can understand in a single breath

Learn Python from scratch by fully utilizing ChatGPT. Rather than tedious conceptual explanations, the focus is on students directly experiencing coding and developing problem-solving skills through example problems and practical exercises. After mastering Python's basic syntax, you can build your skills by solving various problems in Level 1 and Level 2. Furthermore, you can identify and supplement your weaknesses through an Exam structured like a real test. By regularly solving problems and utilizing ChatGPT, students can have a memorable learning experience without feeling bored.

Learn network programming from scratch, fully utilizing Python and ChatGPT. Rather than tedious conceptual explanations, the focus is on students directly writing network code through practical exercises and personally verifying how their written programs operate. You can acquire skills ranging from basic network practicals to network technologies applicable in real-world scenarios, and build deep understanding and proficiency through exercises dealing with various protocols and tools. Furthermore, by leveraging ChatGPT, students can have a memorable learning experience without feeling difficulty or boredom.

You can learn how to manage your projects using GitHub Desktop instead of difficult Git commands (CLI). And we will teach you the GitHub features necessary for project management (configuration management).

How to easily set up git, VS Code, Node.js, Python, Java dev environments on Windows within 2 hours without struggling.

Aren't you curious about how Git and GitHub are actually used in real-world work environments? Experience various scenarios of how professional developers actually utilize Git and GitHub in practice, and directly experience the roles and situations you might encounter in the workplace through role-playing. Now it's time to properly master Git and GitHub.

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.

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.

This is for those who want to deploy/operate services with AWS. From domain settings to Docker and serverless!

Understand the basic knowledge required to build a virtual environment, create a virtual environment suitable for your environment using tools called Vagrant + VirtualBox, and build a Docker and Kubernetes Cluster. You can also introduce and practice virtualization SW suitable for macOS environments using Apple silicon chips.

Through this lecture, you can systematically learn core concepts such as the types and characteristics of volumes, commands for creating and managing volumes, methods for connecting containers and volumes, strategies for ensuring data persistence, and precautions when using volumes.

This is a Git course designed to help you become a top-tier web developer through in-depth lessons. By the time you complete the course, you will have a deep understanding of the essence of Git, allowing you to master this essential developer skill and use it with proficiency.

This course is designed to help you quickly learn server deployment methods using Nginx, Docker, and Spring Boot through hands-on practice. Learn Blue-Green deployment, a frequently used technique in the industry, faster than anyone else!

In order to share with you the consulting/education/construction experience of DevOps specialist company Too Seed, we are introducing a lecture on Git Runbook. We will explain the overall contents from the structure of Git to the basic usage method and usage strategy.

This course is a video lecture that covers essential development environment setup and basic VS Code usage for React.js and Vue.js frontend learning. It provides step-by-step guidance from environment setup to utilizing basic features that enhance productivity, with a focus on hands-on practice.

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.

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 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.

The essence of GitHub lies in Git. If you know how to manage projects with Git, you can collaborate smoothly. If you use Git well, you can also use GitHub well. In this course, you can learn Git's principles and key CLI commands to apply them in your work.

Creating Your Own Data Analysis Portfolio with Free Gemini CLI Vibe Coding: Data Collection, Analysis, Reporting, and Dashboard Automation Even if you are new to data collection, you can collect, analyze, visualize, and create reports and dashboards like a professional data analyst once you master the principles, prompt engineering, and VSCode. From Python data collection to report writing with Gemini CLI and VSCode: Learn prompt engineering and troubleshooting methods for foolproof data collection and analysis.

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.

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.

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.