Course Code: MAV559
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Synopsis

This course explores how Generative AI can be applied to automate analytics workflows, enhance decision-making, and optimize business processes. Students will gain hands-on experience using AI-powered tools like ChatGPT, DeepSeek, OpenAI API, Copilot, and AutoML for data processing, reporting, visualization, and automation. Real-world industry use cases in finance, marketing, and supply chain analytics will be emphasized through applied projects. 本课程探讨生成式人工智能如何应用于自动化分析工作流程、增强决策能力并优化业务流程。学生将通过实践，学习使用AI驱动的工具来简化数据处理、报告生成和各业务领域的工作流程自动化。
Level: 5
Credit Units: 5
Presentation Pattern: EVERY JAN

Topics

  • Introduction to Generative AI in Analytics 分析领域中的生成式人工智能概论
  • AI-Driven Data Processing and Automation AI驱动的数据处理与自动化
  • Enhancing Data Visualisation and Reporting with AI 利用AI增强数据可视化和报告
  • AI for Advanced Analytics and Decision-Making AI在高级分析和决策中的应用
  • AI-Assisted Documentation and Communication AI辅助文档编写与沟通
  • Implementing AI Workflows in Analytics Teams 在分析团队中实施AI工作流程
  • Customizing AI Models for Business Automation 定制化AI模型以实现业务自动化
  • AI-Powered Decision Support Systems AI驱动的决策支持系统
  • Industry Applications of Generative AI (Finance, Marketing, Supply Chain) 生成式人工智能的行业应用（金融、市场营销、供应链）
  • Ethical Considerations and Responsible AI Implementation AI伦理考量与负责任的AI实施
  • Future Trends in AI and Work Automation AI与工作自动化的未来趋势
  • Case Studies: AI-Driven Workflow Automation in Industry 案例研究：行业中的AI驱动工作流程自动化

Learning Outcome

  • Evaluate the fundamental principles and methodologies of Generative AI and its role in automation 评估生成式人工智能的基本原理和方法论及其在自动化中的作用
  • Assess how AI-powered tools can enhance business efficiency 评估AI驱动工具如何提升业务效率
  • Design various AI-driven automation approaches and their effectiveness 设计各种AI驱动的自动化方案并评估其有效性
  • Appraise the limitations and risks associated with Generative AI models 评价生成式人工智能模型的局限性和相关风险
  • Construct Generative AI for automated data processing and analytics workflows 构建生成式人工智能以实现自动化数据处理和分析工作流程
  • Implement AI-driven reporting, visualisation, and decision support systems 实施AI驱动的报告、可视化和决策支持系统
  • Develop and deploy AI-powered automation solutions for various business functions 开发和部署AI驱动的自动化解决方案以服务于各业务领域
  • Design custom AI workflows for business automation 设计定制化的AI工作流程以实现业务自动化
  • Evaluate AI-generated content for accuracy, bias, and reliability 评估AI生成内容的准确性、偏差和可靠性
Part-time Programmes / CET Courses