Building AWS FinOps Applications Using Python

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!

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.

Docker? It's not difficult at all. I'll explain the key points briefly and clearly. Learn, apply, and understand quickly!

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

Learn how to use various libraries and acquire the theory and knowledge necessary to create related applications through Python, the easiest programming language to learn and the most widely used in a variety of fields.

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.

The Intermediate Python course is designed to deepen your understanding of Python by covering advanced topics such as functional programming, metaprogramming, exception handling, and object-oriented programming.

This course covers the basics of Amazon EKS, an AWS-managed Kubernetes service, designed for beginner Amazon EKS users.

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.

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.

You can create a deep learning analysis environment in the cloud using Docker. When Docker images managed by Google, MS, etc. are combined with the cloud, you can work with the latest deep learning analysis methods on your computer.

We explored the essential Python syntax necessary for big data analysis and, through various examples, presented methods such as big data file processing and visualization.

This course aims to build the complete understanding of Amazon Virtual Private Cloud (VPC) and Networking from grounds up where you will understand the AWS networking concepts to the depth not just theorotically but by actually performing hands-on exercises for all the networking components. This course will take your networking knowledge and experience to a level where you can confidently design and implement networking components on your own. And believe me, it's one of the most important skill to have to be successful in your AWS career.

Let's implement a web service modeled after Pinterest's unique card-type layout design using Django, Python's representative web framework.

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 is for beginners who are new to coding, as well as those who want to try out various uses of Python, covering basic concepts of Python, Numpy, Pandas, Plotly, Django, and crawling, as well as simple data analysis.

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!

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.

Even office workers who know nothing about coding can easily learn the basic concepts and grammar of programming through practice, and learn file input/output, Excel data processing, automatic creation of MS-Word documents, graph drawing, web scraping, etc.

Understand the security settings of major AWS services through architectural diagrams, and gain hands-on experience with their operating principles through practical exercises and security scenarios.

Learn network programming from scratch, fully utilizing Python and ChatGPT. Rather than tedious conceptual explanations, the focus is on students directly writing network code through practical exercises and personally verifying how their written programs operate. You can acquire skills ranging from basic network practicals to network technologies applicable in real-world scenarios, and build deep understanding and proficiency through exercises dealing with various protocols and tools. Furthermore, by leveraging ChatGPT, students can have a memorable learning experience without feeling difficulty or boredom.

All-in-one course: Master Node.js by building a solid foundation step-by-step from the basics 👍

You can systematically learn stock trading automation using Python and the Interactive Brokers API, which holds the top spot in global market share.