From Kubernetes to Microservices, CI/CD, and Service Mesh in Three Hours

We will summarize the core theories spanning from Machine Learning and Deep Learning to Generative AI in one go. And by implementing various Generative AI applications with easy Python code, you can take your first step as an AI developer.

We introduce a DevOps lecture based on practical cases experienced directly on the front lines of Silicon Valley. This lecture does not just stick to theory, but covers CI/CD related tools in a K8S environment that can be applied directly to actual engineering sites.

We will learn how to use RabbitMQ to apply asynchronous architecture, the most basic method for processing large amounts of data, in a tutorial format based on SpringBoot 3.3, so that you can easily understand how to use it from the basics to the application.

This is a course on developing microservice applications using the Spring Cloud suite from the Spring framework. You will learn how to use and configure Spring Cloud as a Cloud Native Application.

I've created an introductory CI/CD course that's easy for non-majors to grasp and immediately applicable in practice!

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

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.

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

Learn how to model data in a distributed database 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 course, Part3 of the Full-stack Course Series, solidly teaches the latest server and Docker technologies. It's structured to practically integrate Docker into your tech stack, meticulously testing its options, learning necessary related tech like Linux, and building complex services.

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

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

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.

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

In just 2 hours of hands-on practice, we build a local LLM with RAG-based QA system using the Docker + ollama + R2R framework. (Internal/in-house QA systems, personal portfolios, AI-powered work capabilities, and even commercial services are possible.)

The complete guide to building modern backend APIs with FastAPI! 🚀 This course systematically covers everything from FastAPI basics, Pydantic data validation, DB integration using SQLAlchemy, to Alembic migrations. Through a practical ToDo project, implement JWT authentication/authorization security, and experience asynchronous processing and performance optimization. Finally, through Docker containerization and AWS deployment practice, with just this one course, you can grow into a backend developer ready for immediate practical deployment!

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.

Have you ever felt anxious after modifying code, wondering 'Is it okay to deploy this?' This lecture was prepared to solve exactly that concern. 😊 You'll learn how to write 'good tests' using Pytest, the standard for Python testing, step-by-step from the basics. We'll cover essential functionalities vital for real-world application, from simple assertions to Fixtures that drastically reduce repetitive tasks, and Mocks that simulate complex external systems. Once you're comfortable with testing, it's time to automate the entire development process. You'll learn how to handle testing, code style checks, and formatting all at once with a single command using Nox, a powerful automation tool. Finally, we'll explore how to connect all these processes to a CI/CD pipeline, upgrading your team's development culture.