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Course Outline

Understanding Artificial Intelligence (AI)

  • Defining AI: History and evolution
  • How AI functions: Data, algorithms, and learning models
  • Types of AI (narrow vs. general, generative AI, machine learning)

AI in Everyday Life and Business

  • Examples of AI used in daily life
  • Business sectors transformed by AI
  • Myths and facts about AI in the workplace

AI Applications Across Departments

  • Sales and Customer Service: Lead qualification, chatbots, sales predictions
  • Marketing: Content generation, campaign analytics, trend analysis
  • Finance: Invoice automation, fraud detection, forecasting
  • HR: Recruitment screening, employee engagement insights
  • Administration and Operations: Document management, task automation

Getting Started with AI Tools

  • Overview of ChatGPT, Copilot, Gemini, Claude, and similar platforms
  • Using AI to draft emails, reports, and presentations
  • AI tools for scheduling, summarizing, and translation

Hands-On Practice: AI in Action

  • Writing and refining texts with AI assistance
  • Creating reports and analyzing basic data
  • Automating routine administrative tasks

Challenges and Ethical Considerations

  • AI limitations: Bias, hallucination, and dependency
  • Data privacy, confidentiality, and compliance concerns
  • Best practices for responsible AI use at work

Next Steps: Building an AI-Friendly Culture

  • Cultivating a mindset for AI integration
  • Encouraging experimentation and digital curiosity
  • Resources for ongoing AI learning

Summary and Action Plan

  • Review of key concepts and takeaways
  • Identifying AI opportunities within your department
  • Personal action plan: "What can I automate or improve with AI?"

Requirements

  • No previous experience with AI or programming is required

Audience

  • Employees from administrative, sales, finance, marketing, HR, and other departments
  • Managers and team leaders interested in adopting AI
  • Support and back-office staff
 7 Hours

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