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Beyond Prompting: Building Action-Driven AI Agents with MCP

단순 프롬프트를 넘어: MCP 기반 실무형 AI Agent 구축법

Why it matters

This workshop highlights a critical shift in AI development from simple conversational interfaces to autonomous, action-taking systems. By leveraging the Model Context Protocol (MCP) and structured tools, developers can seamlessly integrate AI into complex ML workflows. This evolution significantly reduces manual engineering effort and accelerates the journey from initial experimentation to production-ready AI pipelines.

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AI AgentsVision DataMCPML LifecycleAutomation

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