3時間で終わるクーバーネティスからマイクロサービス、CI/CD、サービスメッシュまで

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.

[Practical Node NestJS Course - Let's Develop a Service Together!!] You can do it if you learn Redis and Kafka based on Nest! Prisma is now a must-have in the field!

Learn the process of converting an existing legacy monolithic system to a microservice architecture through hands-on training. You will also receive code reviews from knowledge sharers up to two times!

In this lecture, you will learn how to use OpenTracing to perform distributed tracing across various applications.

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

We'll show you a quick and easy way to implement CircuitBreaker to create a fault-tolerant service.

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.

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.

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.

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.

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.

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.

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

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

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.)

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