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Stop accessing localhost! Let me deploy to AWS too!

Getting started with coding in JavaScript

Docker Compose always appears when you actually try to use Docker! You can learn what it is good for and how to use it through practice.

This is a Docker guide for beginners who don't know anything about Docker. We focused on helping you quickly learn why Docker is popular and how to use it, without getting into complicated details.

Backend Entry Worry: Over! From HTTP, API, DB basics to the latest tech (MSA, Docker, Cloud)! Backend development knowledge learned easily and systematically!

[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!

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.

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

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

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.

You can quickly experience the process of deploying an example e-commerce service to AWS and continuously improving it into a robust and efficient environment.

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.

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

In application development, "being able to quickly and accurately reproduce the development environment" is extremely important. One effective means for achieving this is Docker. This video explains everything from Docker's basic concepts and ideas to the actual process of building and running applications using only Docker. You'll also learn the basics of docker-compose, which allows you to manage multiple containers together, giving you a better understanding of environment setup that's closer to real-world practice.

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.

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!

This training is a hands-on course covering infrastructure construction using Docker container technology, vulnerability analysis, and API web server diagnostics. It is designed to comprehensively learn from the basic concepts of Docker to its application in real-world environments, security vulnerability analysis, and response.

Ghost In the N8N - AI Automation Workflow (AI automation flow through the N8N framework) You will gain the foundational knowledge needed for practical work & business automation in the AI era, along with guides you can use immediately in real-world applications!

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.)

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.