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Course Outline

Introduction to Artificial Intelligence

  • Defining AI and clarifying misconceptions.
  • Core concepts: automation, machine learning, and natural language processing.
  • Examples of AI tools commonly used in daily business operations.

AI in the Workplace

  • Benefits of integrating AI into administrative and analytical tasks.
  • Overview of popular AI-powered productivity tools (ChatGPT, Copilot, Bard, etc.).
  • Case studies showcasing AI applications in finance, logistics, and management support.

Practical Use of ChatGPT

  • Drafting professional emails and reports.
  • Summarizing information and generating meeting notes.
  • Facilitating brainstorming and idea generation via prompts.

Using Microsoft Copilot for Productivity

  • Integrating Copilot with Microsoft 365 applications (Word, Excel, Outlook).
  • Automating document creation and data analysis tasks.
  • Leveraging collaborative AI assistance during meetings and presentations.

Automation and Prompting Techniques

  • Strategies for writing effective prompts to ensure accurate AI responses.
  • Developing automation scripts using plain-language AI prompts.
  • Workflow examples designed to streamline repetitive administrative tasks.

Responsible AI Use and Data Privacy

  • Understanding AI limitations and avoiding overreliance.
  • Best practices for handling sensitive data and protecting privacy.
  • Ethical considerations and organizational policies regarding AI usage.

Hands-on Practice

  • Simulated tasks utilizing ChatGPT and Copilot.
  • Team exercises focused on identifying automation opportunities.
  • Development of an action plan for responsible AI adoption in daily operations.

Summary and Next Steps

Requirements

  • Basic familiarity with office applications and online tools.
  • Experience with day-to-day digital communication in the workplace.
  • A genuine interest in enhancing productivity through technology.

Target Audience

  • Non-technical and business staff (including finance, logistics, administration, trading, etc.).
  • Managers and team leads.
  • Professionals looking to adopt AI tools safely and efficiently.
 7 Hours

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