인프런 - 라이프타임 커리어 플랫폼

In this lecture, we will implement various server systems such as chat, party, trade, guild, ranking, and auction house step-by-step using Photon and Firestore.

If you want to be recognized as a machine learning expert based on large-scale data, from understanding the core framework of Spark machine learning, to SQL-based data processing through difficult practical problems, to data analysis through business domain analysis, and to the ability to implement optimized machine learning models, please join this course.

For those who are new to JPA or who use JPA in practice but lack basic theory, By learning the basic theory of JPA solidly, even beginners can confidently use JPA in practice.

Through this lecture, you can learn about understanding SQL and databases, SQL syntax, database design for practical application, database utilization through programming, and even data analysis application cases.

We will learn how to create a system to support large amounts of data and traffic by creating it directly with Spring Boot.

I've made a 'DB Design Introduction/Practice' lecture that's easy for non-majors to understand and immediately applicable in practice!

I've created a 'Redis Introduction/Practical (Query Performance Optimization)' course that non-majors can easily understand and immediately apply in practice!

Solve everything from the basics of querydsl to practical use all at once!

When implementing database programming with .NET Entity Framework Core, you can learn how to understand DB and query performance issues and improve them to achieve better performance and more stable EF Core programming.

Learn through Netflix, Tesla, Meta, and SpaceX case studies, and outstanding personal mission results will be featured as references on official channels with Thread 3.3K+ and Substack 300+ followers. You don't just stop at learning—you gain designs you can showcase. Through the OSS contribution track, you'll contribute to real services and complete your career with resume guidelines.

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!

Learn NoSQL technology, which can handle Big Data, one of the fundamental technologies in full-stack and data science utilized by modern startups. MongoDB is the easiest and quickest technology to utilize among NoSQL databases. In this lecture, you will learn the basics of MongoDB in a short time, and also acquire the skills to manipulate and utilize MongoDB with Python.

You can learn about JWT and ws communication using Spring Boot, and how to handle high TPS.

Through detailed lectures and hands-on practice on the core elements of SQL, we will provide you with a solid foundation to grow into a SQL analysis expert.

Starting from elementary school coding education to high school students in IT software departments, computer science college students, and job seekers from non-technical backgrounds, you can now meet the easy and fun coding lectures of Young Cody Kim, a current star instructor who has dedicated over 15 years to coding education, not only offline but also online. With Young Cody Kim, who has produced over 500 frontend, backend, full-stack, and web developers, your dream of becoming a developer will soon become reality!

In this course, rather than covering the theory directly, you will learn how to use Redis effectively in your code through hands-on practice.

This course is designed to help you learn the core functions of FastAPI, as well as the entire process of web service development. Through this course, we will help you become a FastAPI expert developer needed in the field.

We conduct app log analysis using data from Google Analytics 4 and Firebase. It includes useful content for practical use, such as arrays, window functions, funnels, retention, Google Sheets, and more.

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

This course is an easy-to-understand explanation of database design theory, focusing on practical exercises. Most people who have experienced it through books, etc. have probably felt that database theory was difficult and given up. I did the same. However, if you know it, you will find that it is an easy and very interesting field. In this course, the design content is organized so that you can understand it just by looking at it.