The 10x AI-Native Developer: How to Achieve Overwhelming Performance with AI at Work

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.

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!

"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!

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.

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.

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.

If you ask an AI to "get the top 10 sales," it will whip up a plausible-looking query in no time. However, to determine if that query is actually correct, if the results of joining three tables are accurate, or if it's performing a full scan on 500,000 records without an index—you ultimately need a foundation in DB basics. This course doesn't cover anything overly difficult. In just 2 hours, you will learn the entire flow of SQL by coding along, covering exactly what you need to know before giving instructions to an AI. By the end of this lecture, you will no longer feel uneasy when faced with a query generated by AI.

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.

Beyond the era of simply using AI, we are now in an era that requires people who can design AI. This course is a master roadmap that systematically organizes the entire design map of AI agents, from "Introduction → Structure → Design → Operation." Based on RAG, Tool Calling, Memory, and Multi-Agent structures, you will learn how to design and scale AI agents from an architect's perspective. If you want to grow into someone who designs AI systems rather than just someone who "uses" AI, this course will provide the direction.

LLM and Agent, the fundamental technologies behind AI like ChatGPT. LLM is currently the technology that has come closest to AGI. In this lecture, we will explore LLM and Agent technologies from a layperson's perspective.

Build barrier-free work experience through AI zero-capital entrepreneurship in just 2 weeks

A lecture on practical blog operation using AI tools, condensed from 20 months of experience! It offers step-by-step utilization methods from topic selection to content creation with Perplexity, ChatGPT, and Midjourney.

You can learn everything from basic usage of generative AI to automation and creating customized AI chatbots for practical work applications all in one comprehensive course.

"In such a busy world, you can create a portfolio quickly using AI?" From problem definition to research synthesis, ideation, and prototyping! Use AI as your practical partner to quickly build a high-quality UX/UI portfolio. You can strategically utilize not only the latest AI tools but also proven tools consistently used in the industry to fit your project.

Learn what problems can arise when implementing a first-come, first-served event system and how to solve them.

Learn AI utilization methods and performance improvement strategies tailored to real-world business situations. (i.e., you won't learn things like automatic short-form video generation.) This is a practical course where you learn to leverage AI not merely as a tool, but as an ultimate instrument for business efficiency. By utilizing various generative AI and the latest AI agents such as ChatGPT, Gemini, NotebookLM, Gesnpark, Skywork, etc., you will master AI prompt utilization → AI data analysis → and AI task automation implementation, all at once. This class is optimized for planners, marketers, managers, founders, and others who wish to acquire business productivity and performance enhancement strategies directly applicable to their work.

I will tell you the "formula" for creating 챗GPT prompts. If you apply only this formula, good prompts will pour out.

In the generative AI era, anyone can use it, but those who use it well are different. For those new to GPT, Gemini, and Claude, you will fully understand the world of AI through 100 practical prompts that you learn by actual input.

You can create a service that is not just cool on the outside, but one that allows you to meet users and get feedback. You can gain confidence in web development.

This course covers the entire process of designing and implementing generative AI services centered on LangChain 1.0 and LangGraph through step-by-step hands-on practice. Beyond simple LLM calls, you'll directly implement operational AI system architectures that include agent-based architecture, state management, memory, streaming, middleware, and Human-in-the-Loop. Through hands-on practice with document/PDF/web data-based RAG systems, SQL Agent (Chinook DB), tool-calling-based Agents, Supervisor pattern multi-agents, and state machine-based workflows using LangGraph Graph API, you'll build reusable agent pipelines that can be immediately applied in real-world scenarios. Additionally, through structured output (Pydantic-based), agent middleware (Summarization, HITL, Retry, PII protection), and token/step-by-step streaming, you'll complete generative AI applications with the stability, scalability, and controllability required in actual services. 👉 For those who want to accurately understand the internal structure and execution flow of LangChain/LangGraph 👉 For those who want to implement RAG·Agent as a real service structure, not just a "demo" 👉 This is the optimal course for those who need a realistic practical roadmap covering state-based agents, SQL·document automation, and multi-agent orchestration.

Supabase to give wings to full-stack development! Complete full-stack development in 2 hours with Supabase, a superset of Firebase.

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

From Midjourney Creation to CapCut Editing! Complete AI Video Production Workflow Ready for Immediate Professional Use

Notes keep piling up, but work only gets busier. Structure your notes with Obsidian and transform your workflow to be faster and easier.

Supabase: Giving Wings to Full-stack Development! Through 3 clone projects, you will quickly learn how to build practical-level full-stack applications using Next.js 14 and Supabase.

I will help you gain the deep understanding and unique perspective needed in the AI era, from technical interviews to practical system design, by diving into the source code together. Grow from a developer who has simply "used" Next.js into an expert who "understands" why it is used that way.

How to Build an Efficient Startup Workflow System with Just Notion 🧑🏻‍💻 (Practical Workflow Templates Provided by Practitioners)

Practical course to master Spring Boot 3 + PostgreSQL 17 + JPA + MyBatis + Spring Security all at once!