AWS deployments that can be applied directly to practice

RAG. Learn from Silicon Valley GenAI Hackathon Winner. Packed with real-world know-how.

LangGraph, packed with a major corporation's AI Agent lead's know-how. We deliver knowledge gained from real-world challenges.

Artificial Intelligence, AI, agents... They might seem grand, but once you try them, they're not as difficult as you think. That's why it's important to implement simple features yourself. Through practical projects that can actually be used at a company, you'll directly experience various use cases and learn how to utilize and apply AI agents.

This is a basic LangChain lecture that extracts the key points from official documents for the price of a cup of coffee. Get familiar with LangChain grammar before you start developing!

How to Use Storybooks A to Z. We show you everything about storybooks.

Test code! For those who are at a loss as to where to start, here it is. From writing tests to deploying through automation, all in one place!

New to Flutter? A Flutter Contributor will guide you step-by-step! Start Flutter dev with an AI project using Gemini.

You can't just let the server you worked so hard to build rot away in a development environment. This lecture will teach you how to operate a server that can be accessed from outside using AWS.

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.

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.

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

AWS CLF (Certified Cloud Practitioner) is an introductory course that allows you to build basic knowledge of the cloud. By increasing your understanding of AWS cloud technology and services through this certification, you can move on to more specialized certifications in the future and build the basic capabilities necessary for cloud-based development and operations.

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

This course is designed to help you quickly learn server zero-downtime deployment methods using Nginx, Docker, and Spring Boot through hands-on practice. Learn Blue-Green deployment, which is frequently used in real-world scenarios, faster than anyone else!

This lecture introduces serverless systems through AWS Lambda, and creates an image processing end system with OpenCV, an image processing library, and expands it with an API.

It is configured to allow you to learn programming languages (Python, Terraform) for the cloud. You can directly create and apply simple yet tedious repetitive tasks, track when and how you deployed, and implement your company's unique policies that specific solutions cannot address. Specifically, we will apply a security architecture using Terraform, the most popular IaC (Infrastructure as Code) application, and also proceed with creating an ultra-simple dashboard using Python!

"The technology that prepares you for the future, Docker" This course focuses on learning Docker quickly and easily. It explains the basic concepts and usage of Docker in an intuitive and easy-to-understand way, and through interesting practical exercises, you can learn solid skills that can be used immediately in practice, such as creating containers, building images, and setting up networks. This is the perfect course for those who want to quickly absorb and apply the latest technology to their work!

We will inform you about all the security aspects of migration using MySQL and direct operation of DB Server.

"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.

We teach Spring Boot 3, which is the most widely used in back-end development, in a completely easy way. We create a bulletin board that is essential and most widely used in back-end development in a follow-up manner. We study with the popular book 'Jump to Spring Boot 3'.

You can learn about IAM, the foundation of AWS Zero Trust, from the basics to the details. This will help you understand what parts are actually vulnerable and where you need to pay more attention.

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.

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 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.

It explains almost everything surrounding the cloud in an easy-to-understand manner. If you listen to it before the actual practice, you will be able to understand development or infrastructure cloud well.

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 cloud infrastructure automation technology using AWS and Terraform, and practice efficient infrastructure management and deployment. Manage AWS resources as code through Terraform, and learn how to deploy consistent infrastructure across various environments.