Practical Aurora PostgreSQL Incident Response for Large-Scale Events

For those using AWS (Amazon Web Services) for the first time, this explains the basic concepts and usage of AWS and the cloud, including AWS services and how to use them, infrastructure setup, networking, security, and operations, targeting cloud beginners with little infrastructure-building experience or those just getting started.

This is a 'practice-oriented course' where you will build and deploy infrastructure for a system tailored to the appropriate environment.

I can say with pride that it is more accurate and closer to practical best practices than any other lecture. This lecture is a lecture where you can learn about the basic theory of DevOps and Infrastructure as Code (IaC), which is one of the basics of DevOps. Through this lecture, you can correctly understand IT-based services from a DevOps perspective and practice defining infrastructure with code for service operation. After completing the lecture, you will be able to easily create and manage AWS resources that are basically necessary for service operation through a tool called Terraform. Since AWS must be managed as code, this lecture is also essential for studying the basics of AWS.

Skip the complex theories and concepts, and jump right into writing, practicing, and following along with SQL syntax!

You can learn how to handle data frames (tables) using Python, similar to the SELECT statement in SQL.

If you are already a developer or want to become a developer but did not major in computer science and are weak in databases, gain lifelong knowledge with this one course!

You can learn about IAM, the foundation of AWS Zero Trust, from the most basic elements to the most detailed specifics. Through this, you can learn which parts may actually be vulnerable and where you need to pay more attention.

Perfect preparation for the SQLD certification, from understanding SQL to practical function application, finishing with the latest exam questions!

Secrets of people who are good at their jobs! How should I start with SQL? It covers everything from SQL installation and basic environment configuration to simple practical exercises that can be used in real life! You can also learn basic commands step by step through practical exercises.

Technology should also start with interest. I have prepared a story about a person who analyzes MBTI of his coworkers. I hope that those who have been daunted by SQL will start studying it with enjoyment.

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.

I have summarized the essential SQL SELECT statements and basic usage of Google Sheets that I learned while working as an analyst at a service company.

I’ve created a cram course that can help you pass the AWS SAA-C03 (AWS Certified Solutions Architect - Associate) certification in just two weeks with exactly 163 questions!

Theory alone is not enough to automate your work. Complete a MongoDB–Streamlit project based on practical experience.

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.

By implementing various practical data analysis cases using SQL, you can simultaneously improve your data analysis and SQL utilization skills.

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 course goes beyond basic CRUD-level database usage, helping you develop the PostgreSQL skills needed in the AI era from a practical, real-world perspective. Drawing on AI development experience in Silicon Valley, you’ll gradually learn how to design and use JSON, indexes, transactions, and pgvector in actual services, while gaining the skills to solve complex data structure and performance problems.

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!

Directly assess various threats that may arise in AWS security environments, and expand your security operations capabilities by experiencing monitoring, detection, and response processes through hands-on exercises and security scenarios.