AWS Lambda + OpenCV

Let's create a web app that uploads an image and uses OpenCV to process it and detect faces.

OpenCV has a lot of useful functions for image processing, 3D composition, tracking, machine learning, recognition, and deep learning. And it is free even for commercial use. Isn't it a really cool library?

Fast is dangerous, and safe is slow? Not true. Let's create a fast and safe pipeline!

This is a 'hands-on practical lecture' that helps anyone easily understand cloud technology through everyday examples and build infrastructure, which was conducted in offline classes.

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!

This lecture provides a rough overview of backend basics with FastAPI, along with deploying to AWS using React.js, allowing you to quickly experience the actual deployment process.

We'll complete one full cycle of a backend service using Spring Boot, MySQL, Docker, AWS EC2, and RDS. You'll gain a sense of accomplishment through application deployment, and learn about the problems server developers face in real-world API development and their solutions.

This is a full-stack restaurant map tutorial that allows you to learn everything from front-end, back-end, Kakao Map API usage, and deployment all at once while creating a restaurant map of your favorite YouTuber.

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.

‘Where and how should I store files that look like images? Should I store them in a database? Or on a server hard drive? How can I reduce server load? How can I quickly load many images without stuttering? AWS S3? CDN?! I just want to store and load images, so why are there so many elements? What role do each of these elements play, and how should they be combined?’ I will teach you all the necessary elements related to image files, from start to finish, as a full stack :)

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.

This class covers the basics of using AWS (Amazon Web Services), a cloud service, and S3, which provides storage space for files.

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.

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.

I've created a cram course that will help you pass the AWS SAA-C03 (AWS Certified Solutions Architect - Associate) certification in just 2 weeks with only 163 questions!

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!

We will explore the detailed features and options of AWS's most fundamental and core services, and by implementing cloud architecture step-by-step using these services, we will understand the structure and operating principles of infrastructure while building both the capability and confidence to directly construct cloud infrastructure.

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 look into how to deploy Abyss for non-majors!

We'll build AWS FinOps applications using Python, learn how to structure them, and why code gets more and more difficult. Finally, we'll have a little fun with the metacognition(?) process.

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

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.