完成工作坊后，参加者将能够 After the Workshop, Participants Will Be Able To

• 了解生成式人工智能、大语言模型（LLMs）及AI智能体的基础知识和商业潜力。

• 识别与自身业务职能及行业相关的实际AI应用场景。

• 评估AI智能体平台，并了解AI助手如何支持企业运营。

• 理解AI治理、合规要求及国际标准，包括ISO 42001。

• 制定在所在组织内部引入AI的初步路线图。

  
  

• Understand the fundamentals and business potential of Generative AI, Large Language Models (LLMs), and AI Agents.

• Identify practical AI use cases relevant to their own business functions and industry.

• Evaluate AI Agent platforms and understand how AI assistants can support enterprise operations.

• Understand AI governance, compliance requirements, and international standards, including ISO 42001.

• Develop an initial roadmap for introducing AI within their own organization.

参加群体 Who Should Attend

• 中高层管理者以及参与数字化转型和创新项目的决策者

• 汽车、制造及工业企业的专业人士

• 来自研发、工程、生产、质量、供应链、人力资源、财务、销售、市场营销及其他业务职能部门的员工

  
  

• Mid- to senior-level managers and decision-makers involved in digital transformation and innovation initiatives

• Professionals from automotive, manufacturing, and industrial enterprises

• Employees from R&D, Engineering, Production, Quality, Supply Chain, HR, Finance, Sales, Marketing, and other business functions

工作坊亮点 Workshop Highlights 

• 行业相关的内容——聚焦人工智能在汽车、制造及工业场景中的实际应用。

• 实践体验——使用领先的AI工具、提示词工程技术以及AI Agent平台进行实操练习。

• 完成证书——成功完成工作坊的参与者将获得南德（TÜV SÜD）颁发的完成证书。

  
  

• Industry-Relevant Content – Focus on real-world AI applications in automotive, manufacturing, and industrial environments.

• Hands-on Experience – Practice with leading AI tools, prompt engineering techniques, and AI Agent platforms.

• Certificate of Completion – Participants who successfully complete the workshop will receive a TÜV SÜD Certificate of Completion.

模块一：人工智能(AI)技术革命与行业影响          

• AI基础知识

• AI技术路线： 规则-机器学习-深度学习-大模型

• AI如何重塑行业发展

模块二：生成式AI核心原理与实战入门                 

• 大模型LLM核心原理 – 幻觉，避免幻觉，LLM对比

• Prompt Engineering 提示词工程基础 skills/Harness/MCP/Token

• 不同业务场景进行提示词案例学习和练习

模块三：主流 AI 工具讲解与效率提升                  

• AI 工具学习和练习- 业务数据处理，分析及可视化

模块四：AI的伦理、风险，合规及国际标准          

• 企业的AI伦理准则，风险与控制,

• 构建企业AI合规框架： ISO 42001 

模块五：高级提示词工程与AI办公自动化练习       

• 提示词优化迭代技巧与通用原则

• 数字人生成-产品介绍数字人，知识培训数字人

模块六：深入AI Agent的世界和应用场景解析与痛点挖掘                    

• 从工具到助手：什么是AI Agent？与ChatGPT，DeepSeek的区别是什么？

• AI Agent的核心框架： 大模型，工具调用，RAG，上下文记忆，工作流

• AI Agent 主流开发工具平台

• AI Agent 商业化场景及案例深度解析

模块七：Coze低代码平台构建业务 AI 智能体（Agent）实操练习        

• Coze低代码开发平台学习

• 基于不同场景的AI Agent智能体实操练习

模块八： 企业AI落地部署实施路径                                                          

• 企业AI智能体系的建设、流程再造与组织变革, 大模型本地化部署硬件配置/云上部署成本分析

模块九：OpenClaw 专讲 

• OpenClaw部署及风险，OpenClaw核心技能Skills，OpenClaw 应用场景拆解

Module 1 – The AI Technology Revolution and Its Impact on Industries

• AI fundamentals

• The evolution of AI technologies: from rule-based systems and machine learning to deep learning and Large Language Models (LLMs)

• How AI is transforming industries and driving business innovation

Module 2 – Generative AI Fundamentals and Getting Started

• Core principles of Large Language Models (LLMs)

• Understanding hallucinations, model limitations, and model comparisons

• Prompt engineering fundamentals, including prompting techniques, MCP, tokens, and practical best practices

• Hands-on exercises across different business scenarios

Module 3 – AI Tools for Business Productivity

• Overview of mainstream AI tools

• Practical applications for business data processing, analysis, content creation, and visualization

• Improving workplace productivity through AI

Module 4 – AI Ethics, Risk Management, Compliance and International Standards

• Corporate AI ethics and governance

• AI risk management and control measures

• Building an AI compliance framework: ISO 42001

Module 5 – Advanced Prompt Engineering and AI-Powered Office Automation

• Advanced prompting techniques and prompt  optimization

• Prompt iteration strategies for business applications

• Digital human generation for product presentations and knowledge management

Module 6 – AI Agents: Concepts, Applications and Business Opportunities

• What are AI Agents, and how do they differ from  AI assistants such as ChatGPT or DeepSeek?

• Core AI Agent architecture: Large Language Models, Tool Calling, RAG, Memory, and Workflows

• Mainstream AI Agent development platforms

• Business use cases and commercialization scenarios

Module 7 – Hands-on Practice: Building AI Agents with the Coze Low-Code Platform

• Introduction to the Coze low-code platform

• Building AI Agents step by step

• Practical exercises for different business scenarios

Module 8 – Enterprise AI Implementation and Deployment

• Building enterprise AI capabilities

• Process optimization and organizational transformation

• Local deployment versus cloud deployment

• Infrastructure requirements and cost considerations

Module 9 – Enterprise AI Platforms in Practice: OpenClaw as an Example

• OpenClaw architecture and deployment

• Security considerations and implementation risks

• Core OpenClaw capabilities

• Practical enterprise application scenarios

• 活动截至报名日期为8月19日午时。

  Registration will close at 12PM, August 19. 

• 参与者需要携带笔记本电脑参加本次工作坊——可以是没有网络限制的公司电脑（无需下载应用程序），也可以是个人电脑。

  Participants need to bring a laptop to participate in the workshop—either a company computer without network restrictions (no app download required) or a personal computer.
  

• 电子发票可开“会议费”或“活动费”。电子发票将在活动结束后十个工作日内发送至您的邮箱。

  Available E-fapiao titles: 会议费/ 服务费. E-fapiao will be sent to your registered email address within 10 working days after the event. 

• 如您有任何问题请联系 chamber-north-events@china.ahk.de.

  If you have any questions about the event, please feel free to contact chamber-north-events@china.ahk.de. 

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