High-Performance Real-time Distributed System RabbitMQ + Kafka + Redis Practical Project

All students who submit missions for the "Silicon Valley Internship & 30 Big Tech System Design & Open Source Contribution Course" (designed to keep you indispensable in the AI era) can apply for internships at AI startups in Palo Alto, USA. Applicants will receive a document screening waiver and a guaranteed interview opportunity. This course involves designing and scaling 30 real-world system designs based on Big Tech cases such as Netflix, Tesla, Meta, and Tinder. Finally, you will design your own service from architecture to DB and scaling, and complete your portfolio and resume by contributing to an active open-source AI coding agent project that has achieved 1.8k weekly downloads.

Xcode & ARC memory management, Swift fundamentals (let/var·Optional) · pure functions · closures · higher-order functions (map/filter/reduce) utilization, Master Playground practice environment setup all at once.

Prepare for interviews using the algorithm coding interview methods of US Big Tech companies and implement them through differentiation strategies.

We have gathered Apache Kafka application programming knowledge used in real environments! We will take a look at and practice various functions of Apache Kafka that are key to building data pipelines.

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!

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.

I have created an 'Introduction to MSA' course that is easy for non-majors to understand and can be applied immediately in practice!

Regardless of the field! This is a lecture that covers the core fundamentals that developers must know in practice in an easy + code-oriented way. I highly recommend this lecture to all junior developers and job seekers who want to grow.

This is a lecture on creating and deploying your own GPT using various resources in Azure. From start to finish! Let's deploy a complete service from scratch!

This course will teach you how to create an IMAX movie ticket opening notification at CGV Yongsan I-Park Mall using Python web crawling, Telegram bot, and AWS EC2. Through this course, you can learn everything from a basic understanding of web crawling to creating a Telegram bot and setting it up as a server!

Through in-depth theoretical explanations of Kafka Connect and detailed practical training that can be used immediately in the field, we will help you grow into an expert in building data linkage and data pipelines based on Kafka Connect that are needed in the field.

Do you manually type in numerous commands every time you build a complex project or create a deployment package? Currently, most open-source projects use build automation scripts to save the trouble of typing commands. Do you also find building tedious? Then use this course to automate your builds and increase your work efficiency.

The Channels library is a real-time messaging library developed under the philosophy of Django. Quickly learn the essence of Channels through this lecture.

You can learn the skills and know-how needed to improve work efficiency by utilizing Open API and Python.

You will learn Apache Airflow, the most widely used Orchestrator for creating software data pipelines.

This course covers the process of automating algorithmic trading in local and cloud environments, and focuses on hands-on practice.

Apache Superset is an open-source BI tool that lets you quickly create charts and dashboards by connecting multiple databases. You can visualize data without knowing code, and SQL Lab allows you to run queries directly, making it useful for everyone from beginners to professionals. The dashboards you create can be shared immediately with permission settings, making it perfect for collaboration. Learning Superset gives you the ability to make data-driven decisions quickly and build practical dashboards you can use right away at work. In short, it's perfect for anyone who wants to make data "speak." 🚀

Learn the basic, essential, and practical knowledge of Kafka that software developers need to know. We will integrate Kafka using Spring Boot and conduct hands-on exercises for sending and receiving messages tailored to various real-world scenarios.

Don't just remain a ChatGPT user; transform into a GPT service developer with Django/Channels. Quickly grasp the core of Django/Channels with this lecture!

This course aims to cover the latest Gemini API SDK (@google/genai) in a Node.js and TypeScript environment. You will learn how to use multimodal technology to process text, images, and video simultaneously. We will practice the entire process, from issuing an API key to project setup and model calling.

Kotlin mastery via virtual payment server course.

You may have felt frustrated using Redis without being able to explain why it should be designed that way or why certain patterns emerged. Through my experience in both practical development and as an interviewer, I have treated Redis not just as a simple cache, but as a core component that determines service stability and scalability. This course is not about memorizing commands; instead, I will share my experiences on which structures to choose in real traffic environments and their trade-offs, helping you establish the criteria to explain these concepts confidently in both interviews and practical work.

If you're just learning Python and don't know what you can do or what you should do? Let's learn how to use web technologies with Python, such as web crawling, automation, and APIs.