Gemini’s Development Practice - How to Build Software That Can Grow Sustainably

This course explores microservice architecture and distributed environments not as a simple list of technologies, but from the “design perspective” required in real-world practice and technical interviews. Starting with the differences between monolithic architectures and MSA, it systematically covers gradual migration strategies, modular monoliths, clean architecture, and hexagonal architecture, clearly explaining why each choice is necessary and the trade-offs that come with it. Through hands-on exercises, you can directly verify the intentions behind each structure and learn about the core challenges inevitably encountered in distributed environments—such as data consistency, transactions, inter-service communication, and failure handling—through realistic scenarios. Based on actual questions and perspectives from Kakao interviewers, this course aims to do more than impart knowledge: it seeks to elevate your way of thinking about distributed systems to the next level.

Beyond the basics of API design, CRUD implementation, and JWT authentication, all the way to backend architecture design! This is an introductory system design course to help you create 'your own backend architecture' so you can confidently discuss design experience in interviews.

Through this course, you can acquire the concepts and practices of Information Strategic Planning.

A comprehensive course covering AI-era-proof Silicon Valley internships, 30 big-tech system designs, and hands-on open-source contributions. Using real-world cases from Netflix, Tesla, Meta, Tinder, and other big tech companies, you’ll design and scale 30 practical system designs. Finally, you’ll design your own service from architecture to database to scaling.

Along with reading, writing, and arithmetic, computational thinking is a skill that everyone living in the AI era must possess. Computational thinking can be simply defined as thinking like a programmer or a computer scientist. This course faithfully reproduces an actual university semester-long course and covers essential content for people encountering programming for the first time or beginners planning to major in computer science. Through this course, people without a background in computer science or with a humanities background can also develop the ability to communicate easily with professional programmers. Even in an era when learning prompts for AI vibe coding is necessary, this course helps you develop the ability to give AI more accurate and effective instructions through computational thinking.

Modern digital products and services start from small ideas and grow to be loved by millions of users. The key to making this possible is scalable system design. In this course, you will learn the design principles and implementation methods for growing from small to large systems.

How does the architecture change when an LLM is integrated into an existing backend? Going beyond simple LLM API calls, this introductory system design course helps you understand the core components of AI services—such as Model Routers, LLM Gateways, and Vector DBs—and progressively design operational AI service architectures, including RAG and AI Agents. It helps those who want to build their own LLM-based AI services quickly learn the design process.

This course guides you to accurately understand essential programming concepts and theories that are often neglected in the rush of implementation. By learning similar, contrasting, and related concepts together, you will master multiple ideas at once. After completing this course, you will become a developer with a solid conceptual foundation.

You can solve design problems by writing code in a formatted way. You can understand code or patterns written by other programmers.

Alongside reading, writing, and arithmetic, computational thinking is a skill that everyone living in the AI era must possess. Computational thinking can be simply defined as thinking like a programmer or thinking like a computer scientist. This course faithfully reproduces an actual university semester-long course and covers essential content for those encountering programming for the first time or beginners planning to major in computer science. It also helps non-computer science majors and people with humanities backgrounds develop the ability to communicate easily with professional programmers. Even in an era when we need to learn prompting for AI vibe coding, this course helps learners develop the ability to give AI more accurate and effective instructions through computational thinking.

In an era where AI writes code for us, the value of a "true architect" who can see through and control the macroscopic framework of a system becomes overwhelmingly higher. This course digs into the essence of low-level networks and TCP/UDP sockets hidden behind frameworks, cultivating the ability to design robust core engines that never crash even in the face of millions of traffic hits and large-scale data. Go beyond being a coder who blindly repeats copy-pasting, and leap forward to become an irreplaceable master who directs and controls AI with clear, system-level solutions.

This course teaches you how to write safe and reliable code in the software development process. Rather than simply stopping at feature implementation, you'll learn programming principles and techniques that can prevent security vulnerabilities and ensure stability. Through hands-on practice and case studies, you can understand security threats that may occur in real development environments and acquire safe coding techniques such as coding rules, input validation, exception handling, and memory management to prevent them. By taking this course, developers will enhance the completeness of their code while gaining practical capabilities to develop software with security and reliability.

Cultivate advanced programming language utilization skills and software design and implementation skills combining functional, object-oriented, and LISP paradigms, necessary for growing into a mid-to-senior level developer.

Solve the common codes, category hierarchies, history tracking, soft deletes, statistics, dynamic design, JSON utilization, and more that you inevitably encounter in real-world design through nine core patterns. This goes beyond simple theory, incorporating practical know-how proven across numerous projects and criteria for making the right choices in different situations. Become a true design expert who can confidently design for any requirement.

Learn database design systematically across three levels—conceptual, logical, and physical—and strengthen your skills through a practical, project-based e-commerce store. Gain hands-on expertise through modern design techniques and the latest trends.