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🚀 2026 The most systematic AI Agent quick guide | Agent practical tutorial · Complete learning path + practical projects + interview question bank · Benchmarking large model application development engineer positions · Covering LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / prompt words · Enterprise-level deployment and fine-tuning · From 0 to enterprise-level implementation + From learning to online projects + Integrated interview preparation
A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. Chinese AI agent learning map.
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