AWS元社員が教えるAWSアーキテクチャ

Through this course, you can directly create and understand the meanings of the most frequently used services among various AWS services on the console. In addition, it thoroughly explains the preparation and basics for becoming a truly skilled engineer. I can assure you that you can build a solid foundation.

AWS Cloud, Why Should You Learn Security? Now that cloud usage is becoming more common, what is the most basic thing to use the cloud? It is security. If you cannot prevent unauthorized access and leakage of data stored in the cloud, the damage that you and your company will face will be indescribable. To prevent such accidents, we will provide basic security knowledge for using Amazon's AWS cloud.

For those who are new to AWS (Amazon Web Services) and have little experience building infrastructure or are just starting out with the cloud, this book explains the basic concepts and usage of AWS and the cloud, including AWS services and usage, building, networking, security, and operations.

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.

In an era of explosive data growth and crucial real-time processing, edge computing has established itself as an essential technology, no longer an option. This course is designed to systematically teach everything, from the core concepts of edge computing to deployment strategies for its application in real business environments. Through this course, students will firmly solidify the fundamental principles of edge computing and acquire practical knowledge and know-how applicable to real-world tasks and projects. Take the most certain first step towards becoming an edge computing expert, a core technology in the future IT environment!

Master AWS networking completely! Learn VPC, subnet, routing, and security with a focus on practical application, and design secure and scalable cloud network architectures. Complete the core skills that every working engineer must know in a short period of time!

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.

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.

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.

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.

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.

"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.

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!

For the sole purpose of passing the exam, we have summarized and organized the key contents of each exam area to prepare for the AWS (AWS Certified Solutions Architect-Associate) certification.

Understanding network configurations is extremely important when building applications on AWS. In this course, we will clearly explain the concepts and actual construction methods of basic network configurations in AWS.

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.

No more 'Question - Answer - Read-through' explanations! We explain all the knowledge related to how to solve AWS SAA certification exam questions!

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.

This course is an introductory lecture prepared for those who are new to Terraform, an infrastructure automation tool. Instead of repeatedly performing manual configurations in cloud environments, you can learn how to easily and quickly build and manage infrastructure using code. It is specifically designed with easy explanations and hands-on exercises that even non-majors can follow, so that beginners who are encountering the concept of IaC for the first time can understand it.

‘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 :)