SQL/DB Basics You Should Know Before Asking AI

No coding skills? No problem! Turn your ideas into real profit in just 4 weeks. Use AI and the latest tools to build a website and an app simultaneously and launch your service right away.

"I have a backend technical interview in a week, what should I start with?" The secret to answers that make interviewers nod Master the actual answer patterns of Naver, Kakao, Coupang, and Toss successful candidates in just 3 days!

I'm going to teach you the core concepts of Python in 60 minutes! I'm not focusing on blind grammar, but on why and when to use it.

In a world where every resume looks the same, "differentiation" is what gets you hired. Over the course of 6 weeks, learn 4 practical resume strategies delivered directly by an active backend professional.

Beyond simply copy-pasting with AI, you will learn how to actually automate repetitive tasks for non-developer professionals by connecting Claude Chat, Cowork, MCP, n8n, Supabase, and Vercel. Set against the backdrop of a virtual company called DingcoLabs, you will follow hands-on scenarios for PM, Marketing, Sales, CS, and HR to build work automation systems that can be applied to your company immediately.

With step-by-step explanations that even beginners can easily understand, the once-vague coding tests will become clear. Learn only what you need and apply it to real-world practice right away!

AI is no longer a choice, but a matter of survival. Shorten development tasks that used to take 3 days down to 30 minutes; leave repetitive tasks to AI and focus on solving more important problems. Through AI-native development methods that are practical rather than theoretical, we will show you the definitive way to be recognized as an "AI-savvy developer" at your company.

You've probably written SQL using JdbcTemplate before, right? Everyone has likely had that experience of sighing while having to fix both the SQL and the RowMapper every time a single column changes. This course starts from that very pain. Doing a single SELECT with pure JDBC takes 35 lines. You open a Connection, create a PreparedStatement, iterate through the ResultSet, and if you miss a single close(), the server crashes. After typing through this hell yourself, when you finally encounter a single line of JPA's save(), you'll feel "this is why we use JPA" not just in your head, but in your hands.

This is an introductory backend development course where you learn through understanding rather than memorization, and experience rather than theory. Instead of reciting a Googled definition when asked "What is JPA?" in an interview, this course will empower you to give an answer based on experience, starting with "Well, I've been through JdbcTemplate hell..." You will gain a deep, intuitive understanding of "why we use frameworks" by experiencing firsthand how 30 lines of pure Java ServerSocket code shrink down to just 7 lines in Spring Boot. After 6 sessions, you will walk away with a functional portfolio piece: a Todo List REST API built with Spring Boot + JPA.

We live in an era where AI can generate 10 files at once. However, if you can't track where the code changed, if it conflicts with your teammates' work, or if you don't know how to revert it—your productivity will suffer no matter how well you use AI. This course isn't just a list of commands like git add and git commit. It provides a visual understanding of the principles behind safely managing AI-generated code and merging it with your team's work. In just two hours, you will transform into a developer who can freely track, revert, and merge any code, whether it was created by AI or written by yourself.

I have created a 'DB Design Introduction/Practice' course that is easy for non-majors to understand and can be applied immediately in the real world!

A must-have subject for aspiring developers and those looking to get a job in big data!!

Extract and utilize data through Oracle 18c and become a database expert!

This is a course for learning MS-SQL through baseball and corporate databases.

This is a guide course for beginners who are taking their first steps into Oracle. We will teach you the basics of user creation, table creation, and queries.

This course goes beyond simple CRUD-level database usage to help you acquire PostgreSQL skills necessary for the AI era from a practical perspective. Based on AI development experience in Silicon Valley, you will learn step-by-step how to design and utilize JSON, indexes, transactions, and even pgvector in real-world services, while mastering methods to solve complex data structures and performance issues.

How will you handle exploding traffic? Learn how to build resilient and flexibly scalable architectures through practical EDA (Event-Driven Architecture) design patterns using Kafka, Spring, CDC, and Temporal. A Kakao developer shares real-world experience with clear, easy-to-follow explanations that even non-majors can understand. A practice-oriented course covering everything from real-time data flow and event processing to microservice integration!

Channel Talk interviewers will directly analyze the difference between failing and passing answers to the same questions, and help you prepare for actual follow-up questions.

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

You will learn the overall process of developing and deploying a website through generative AI (ChatGPT, Cursor AI).

With the arrival of the AI era, the skills required of developers are becoming increasingly complex. You might have thought, "I just need to be good at frontend," but when you try to create your own service or integrate AI features, you eventually hit a massive wall called the backend. However, as you try to start backend development, are you overwhelmed by how much there is to learn—from database design and authentication (Auth) to storage management and complex infrastructure setup? Now, you can lay down that heavy burden. In this course, we use Supabase, which solves all these backend functions at once. We will guide you through the fastest shortcut to becoming a full-stack developer who can "instantly" complete a backend without complex server knowledge and bring ideas to life immediately.

This course is designed to help students learn and practice PHP programming concepts. It is designed for students who want to learn PHP programming concepts.

Introduction to SQL Data Analysis! Quick and easy to understand with practical problem solving!

Learn common components of global-scale services through popular papers, books, and articles.

If you can master DB and programming, you should be more than halfway prepared for the information processing engineer exam. Let's take a look at the DB and programming parts, which are worth 45 to 55 points in the practical exam, and pass the written exam steadily.

We enable you to fundamentally understand and resolve issues where Hangeul appears broken on web pages or in databases, or files contain unknown characters.

This course provides a step-by-step learning path, ranging from the fundamental usage of MySQL to advanced techniques required in real-world production environments. It covers a wide range of topics, including data modeling techniques based on various case studies and practical data, evaluating the effectiveness of Foreign Key designs, analyzing Google Calendar schema DDL, and modern DDL design principles. Through this course, you will gain an in-depth understanding of how to utilize MySQL as a core system component rather than just a simple database.

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

Immutable truths for developers/engineers that will never change even in the AI era! We provide essential computer science knowledge for free to prepare for developer/engineer job applications and technical interviews.

This course focuses more on data modeling through entity design than on JPA technical explanations. Based on the principle that solid DB design is the foundation of application development, we analyze various design patterns—such as one-to-many, many-to-many, inheritance, and collections—alongside business scenarios. You will learn by directly observing the process of code being transformed into actual tables on screen. To ensure immediate practical application, we provide business use cases, source code, and test codes for each design pattern.