Practical courses for your goal

Compare AI coding, systems, automation, and everyday AI courses by prerequisites and outcomes.

Ten published courses curated by purpose. Enrollment, prices, and current terms are on Inflearn. Course audio is Korean.

AI coding

GitHub Copilot Vibe Coding

Apply Agent and Plan modes to a real Java and Spring project and connect AI coding to a finished outcome.

Basic Java syntax, web concepts, and IDE experience. Basic Spring knowledge is helpful.
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Build a Chrome Extension

Build small browser features as Chrome extensions by working with AI.

No coding knowledge required. Basic skills such as creating folders and copying files are enough.
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AI systems

RAG System Master

Connect retrieval and generation through GraphRAG and Agentic RAG to understand the full RAG system architecture.

Basic RAG and prompting concepts, Python LLM API integration experience, and basic vector database skills.
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Harness · Loop · Graph Engineering

Expand prompt-centered agent design into harness, loop, and graph structures to build more controllable systems.

Basic programming, the ability to run code, and experience with AI coding tools such as Claude Code or Cursor.
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Work and everyday use

AI English Growth Routine

Connect AI to an English study routine of reading, speaking, and feedback.

Basic English grammar and vocabulary, AI chatbot experience, and basic digital note-taking skills.
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