一个课程库，一套可重复的学习闭环。One library. One repeatable learning loop.
每一期都把口语和听力放在同一个业务主题下，便于持续练习和复习。Every episode connects speaking and listening under one business topic for repeatable practice and review.
首批难度 B1+ 至 B2；学习材料已发布，真实音频将在 TTS 配置与人工复核后上线。The first cycle is B1+ to B2. Learning material is published; real audio follows TTS setup and human review.
汇报项目进展Giving a Project Progress Update
练习向客户清晰汇报已完成、正在进行、风险、依赖和下一步，避免用模糊百分比掩盖未决事项。Practise giving a clear customer update on completed work, work in progress, risks, dependencies and next steps without hiding open issues behind vague percentages.
处理现场技术问题Handling an On-site Technical Issue
练习按现象、影响、时间线、隔离测试、临时措施和根因验证的顺序，处理相机画面、网络、误报和设备联动问题。Practise handling camera-image, network, false-alert and device-integration issues through symptoms, impact, timeline, isolation tests, containment and root-cause verification.
讨论 POC 可行性验证Discussing a Proof of Concept
练习与客户确认样本、工位条件、验证范围、双方责任和验收方式，让 POC 回答明确的技术与业务问题。Practise agreeing on samples, site conditions, validation scope, responsibilities and acceptance methods so that a POC answers clear technical and business questions.
介绍系统架构Explaining the System Architecture
练习清晰说明产线相机、边缘计算终端、线边流程编排客户端和管理平台的职责、数据流与系统边界。Practise explaining the roles, data flow and boundaries of the production-line camera, Edge AI unit, line-side workflow client and management platform.
了解客户的生产现场问题Understanding the Customer’s Production Problem
练习用结构化问题了解工位、人员动作、异常、节拍约束和客户目标，并把模糊需求转化为可验证问题。Practise structured questions about the station, operator actions, exceptions, cycle constraints and customer goals, turning a broad request into a testable problem.
介绍一套 AI-SOP 项目Introducing an AI-SOP Project
学习如何向海外制造业客户说明 AI-SOP 的用途、组成、边界和实施价值，并避免未经验证的量化承诺。Learn to explain the purpose, components, scope and practical value of an AI-SOP solution without making unverified performance claims.