ended6월 10일· 1 sources
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