AWS(Amazon Web Service) Intermediate/Advanced Course

This introductory course for AI engineers is designed to provide a brief hands-on experience of the entire process, from data processing and model development to cloud, MLOps, and ethical considerations. It focuses on building practical skills by helping students understand the process of connecting models to actual services, rather than just creating them. The course includes hands-on exercises and examples so that even those learning AI for the first time can easily follow along.

Let's learn together about Columnar Storage, which allows you to conveniently handle both structured and unstructured data provided by GCP and allows for a free table format, and BigQuery, a universal database.

Do you still feel like something is lacking even after taking all the AWS beginner, intermediate/advanced courses? The AWS practical course is just for you.

Do you want to master the Python language? This course is designed to help even those with no coding experience learn Python easily through fun examples. In addition, the extensive coding exercises will greatly help improve your coding skills.

Let's learn the core theories of AWS services that are often used in companies and various projects these days, and make AWS completely our own through hands-on practice!

This is a 'practical, hands-on lecture' where you can understand the cloud through everyday examples that anyone can easily grasp and learn how to build infrastructure, just as it was conducted in our offline classes.

This is a class where you can learn the basics and use of AWS, a global cloud service. Show off your own service to the world using AWS.

What is DevSecOps? Configure a CI build environment and an environment that automatically performs SAST checks during build

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!

‘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 :)

"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!

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

What is DevSecOps? Configure a CI build environment and an environment that automatically performs SAST checks during build

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.

Running MongoDB on Kubernetes is different from simply putting it in a container. There are many things you can only learn by dealing with storage, networking, permissions, and high availability firsthand. This course covers the entire process of configuring and operating MongoDB using the PSMDB (Percona Server for MongoDB) Operator in an AWS EKS environment. The goal is to directly build a production-ready configuration, from cluster setup to Replica Set configuration, backup, and monitoring.

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.

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.

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'.

This is a DevOps course based on practical experience in Silicon Valley. It goes beyond theory to cover content that can be applied immediately in the field. You will learn how to develop using Generative AI (Vibe Coding), set up CI/CD tools in a Kubernetes environment, and implement strategies to keep operating costs at $0. We will cover configuring a production environment without additional costs by running DB, Redis, S3, and batch jobs inside Kubernetes, and you will master building automated pipelines using GitHub Webhooks and Jenkins through hands-on projects.

This is not just a lecture for memorizing commands. It is a practical introductory course designed to help you intuitively understand the "flow" of technology—why containers emerged and the principles behind how Docker creates and runs images. Even those new to Docker will be able to explain for themselves "why containers are a necessary technology" after taking this 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.

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.

A former AWS employee explains what a well-architected framework looks like within AWS. We will cover how to build an architecture that starts small and scales to handle massive traffic. You will learn various AWS services through a hands-on approach, solving the diverse challenges encountered when designing architectures for high availability and security.

This course is designed to help learners build solid AWS cloud engineering and architecture skills through hands-on projects and practical demonstrations. Students will learn how to build secure AWS environments, manage scalable computing infrastructure using EC2 and Auto Scaling, configure networking via VPC and Load Balancers, and implement cloud-native storage and database solutions using S3, Aurora, and MySQL. Throughout the course, I will guide students step-by-step using hands-on labs, architectural explanations, and real-world deployment scenarios commonly used in modern cloud environments. I focus on simplifying complex AWS concepts into easy-to-understand lessons while helping students avoid common mistakes made during cloud deployment, security configuration, and infrastructure scaling. By the end of this course, students will not only gain the confidence to design secure, scalable, and cost-effective solutions on AWS but will also be prepared for the AWS Solutions Architect Associate certification exam.