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Advanced Free 中文
Native LLM Agent Apps — Product Design, Engineering Theory and Practice
A free Chinese course for product managers, AI engineers, and architects. It digests a public long-form tutorial into a structured 12-chapter course covering agent fundamentals, design patterns, topology choices, MCP, memory, safety guardrails, multi-agent collaboration, OpenAI Agents SDK, LangGraph, evaluation, observability, production deployment, and emerging trends.
📖 What You'll Learn
- Distinguish chatbots, workflows, and agents through the “LLM in a loop with tools” model
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- Design systems with supervisor, pipeline, mesh, dynamic, handoff, and consensus topologies
- Build tool interfaces, MCP servers, ACI contracts, error signals, and structured outputs
- Implement short-term memory, long-term semantic memory, vector retrieval, Mem0, and LangGraph checkpoints
- Add guardrails, budgets, loop detection, and observability to agent systems
- Build practical content and email agents with OpenAI Agents SDK and LangGraph
- Evaluate correctness, process quality, output quality, safety, cost, and latency
💡 Want a structured AI learning roadmap?
Visit ganhuo.ai →