Course Code: ANL559
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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.
Level: 5
Presentation Pattern: EVERY JULY

Topics

  • Introduction to Generative AI in Analytics
  • AI-Driven Data Processing and Automation
  • Enhancing Data Visualisation and Reporting with AI
  • AI for Advanced Analytics and Decision-Making
  • AI-Assisted Documentation and Communication
  • Implementing AI Workflows in Analytics Teams
  • Customizing AI models for Business Automation
  • AI-Powered Decision Support Systems
  • Industry Applications of Generative AI (Finance, Marketing, Supply Chain)
  • Ethical Considerations and Responsible AI Implementation
  • Future Trends in AI and Work Automation
  • Case Studies: AI-Driven Workflow Automation in Industry

Learning Outcome

  • Evaluate the fundamental principles and methodologies of Generative AI and its role in automation.
  • Assess how AI-powered tools can enhance business efficiency
  • Design various AI-driven automation approaches and their effectiveness
  • Appraise the limitations and risks associated with Generative AI models
  • Construct Generative AI for automated data processing and analytics workflows
  • Implement AI-driven reporting, visualisation, and decision support systems
  • Develop and deploy custom AI-powered automation solutions for various business functions and automations