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Course Outline

Understanding Artificial Intelligence (AI)

  • What is AI? History and evolution.
  • How AI works: Data, algorithms, and learning models.
  • Types of AI (narrow vs. general, generative AI, machine learning).

AI in Everyday Life and Business

  • Examples of AI we use daily.
  • Business sectors transformed by AI.
  • Myths and facts about AI in the workplace.

AI Applications in Different Departments

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

Getting Started with AI Tools

  • Overview of ChatGPT, Copilot, Gemini, Claude, and others.
  • Using AI to write emails, reports, and presentations.
  • AI tools for scheduling, summarising, and translation.

Hands-On Practice: AI in Action

  • Writing and improving texts with AI.
  • Creating reports and analysing basic data.
  • Automating routine administrative tasks.

Challenges and Ethical Considerations

  • Limitations of AI: Bias, hallucination, and dependency.
  • Data privacy, confidentiality, and compliance concerns.
  • How to use AI responsibly at work.

Next Steps: Building an AI-Friendly Culture

  • Developing a mindset for AI integration.
  • Encouraging experimentation and digital curiosity.
  • Resources for continued AI learning.

Summary and Action Plan

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

Requirements

  • No prior knowledge of AI or programming is required.

Target Audience

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

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