誰でも理解できるAWSを活用したクラウド基礎

I've created an AWS intro course, easy for non-specialists to understand and immediately applicable!

In addition to acquiring basic knowledge about the ELK stack and various Kubernetes resources, you can also gain practical experience using Kubernetes by building a log monitoring system.

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!

It covers not only how to configure CRUD using Golang, but also how to use PostMan when collaborating with the front-end, and even repository management and environment construction! It contains the knowledge necessary for actual work.

I've created a 'Linux Introduction' course that's easy for non-majors to understand and immediately applicable in practice!

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.

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.

Want to work for a long time as a super developer who can handle the entire process of service development and operation on your own? Then build a solid foundation in IT infrastructure knowledge from the ground up, which is just as important as various development languages!

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

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.

‘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 :)

This special lecture lays the theoretical groundwork for simultaneous Microsoft AZ-900 certification preparation. Featuring the latest content reflecting the May 2025 exam scope, it covers cloud concepts, Azure architecture and services, and Azure management and governance, delivered with a blend of theory and hands-on practice.

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.

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.

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.