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 Duration 7 hours

Course Outline

Introduction to Artificial Intelligence

  • Defining AI and understanding its limitations
  • Core concepts: automation, machine learning, and natural language processing
  • Examples of AI tools integrated into daily business processes

AI in the Workplace

  • Advantages of leveraging AI for administrative and analytical responsibilities
  • Popular AI-driven productivity tools (including ChatGPT, Copilot, Bard, etc.)
  • Case studies demonstrating AI applications in finance, logistics, and management support

Practical Application of ChatGPT

  • Drafting professional emails and reports
  • Condensing information and generating meeting minutes
  • Facilitating brainstorming and idea generation via strategic prompts

Utilising Microsoft Copilot for Productivity

  • Integrating Copilot within Microsoft 365 applications (Word, Excel, Outlook)
  • Automating document generation and data interpretation
  • Leveraging AI assistance for collaborative meetings and presentations

Automation and Prompt Engineering Techniques

  • Crafting effective prompts to elicit accurate AI responses
  • Developing automation scripts using plain-language AI prompts
  • Workflow examples for automating repetitive administrative duties

Responsible AI Usage and Data Privacy

  • Recognising AI limitations and preventing over-reliance
  • Managing sensitive data and safeguarding privacy
  • Adhering to ethical AI standards and organisational policies

Hands-on Practice

  • Simulated tasks using ChatGPT and Copilot
  • Group exercises focused on identifying automation potential
  • Developing an action plan for the responsible adoption of AI in daily workflows

Summary and Next Steps

Requirements

  • Familiarity with standard office applications and digital tools
  • Experience with everyday digital communication in a professional setting
  • A keen interest in enhancing productivity through technological solutions

Target Audience

  • Non-technical and business personnel (including finance, logistics, administration, and trading teams)
  • Managers and team leaders
  • Professionals aiming to adopt AI tools with safety and efficiency in mind

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