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 Duration 7 hours

Course Outline

Foundations of Artificial Intelligence

  • Defining AI: capabilities and limitations
  • Core concepts: automation, machine learning, and natural language processing
  • Practical examples of AI tools in everyday business operations

AI in Professional Settings

  • Advantages of AI in administrative and analytical workflows
  • Leading productivity tools powered by AI (including ChatGPT, Copilot, and Bard)
  • Real-world case studies in finance, logistics, and executive support

Applied Use of ChatGPT

  • Drafting professional correspondence and formal reports
  • Condensing information and automatically generating meeting minutes
  • Facilitating brainstorming sessions and creative ideation through prompting

Leveraging Microsoft Copilot for Efficiency

  • Seamlessly integrating Copilot into Microsoft 365 ecosystem (Word, Excel, Outlook)
  • Streamlining document generation and data interpretation
  • Enhancing collaborative efforts during meetings and presentations

Automation and Prompt Engineering Strategies

  • Techniques for crafting effective prompts to achieve precise AI outcomes
  • Developing automation scripts via natural language AI inputs
  • Workflow demonstrations for recurring administrative activities

Ethical AI and Data Governance

  • Awareness of AI constraints and mitigating risks of over-dependence
  • Best practices for managing sensitive data and safeguarding privacy
  • Adhering to ethical AI usage standards and organizational policies

Interactive Practice

  • Simulated workflows utilizing ChatGPT and Copilot
  • Group activities focused on identifying automation potential
  • Developing a strategic plan for responsible AI integration in daily operations

Wrap-up and Future Directions

Requirements

  • Foundational knowledge of office software and digital platforms
  • Familiarity with standard daily digital communication practices in a work environment
  • A genuine interest in leveraging technology to drive productivity improvements

Target Audience

  • Business professionals in non-technical roles (including finance, logistics, administration, and trading)
  • Managers and team leaders
  • Professionals aiming to adopt AI tools with both safety and efficiency in mind

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