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Course Outline

Understanding Artificial Intelligence (AI)

  • Defining AI: Historical context and evolution
  • The mechanics of AI: Data, algorithms, and learning models
  • Categories of AI (narrow vs. general, generative AI, machine learning)

AI in Daily Life and Business Contexts

  • Everyday examples of AI usage
  • Industry sectors undergoing AI transformation
  • Distinguishing myths from facts regarding AI in the workplace

AI Applications Across Various Departments

  • Sales and Customer Service: Lead qualification, chatbot implementation, and sales forecasting
  • Marketing: Content creation, campaign analytics, and trend identification
  • Finance: Invoice processing automation, fraud detection, and financial forecasting
  • HR: Recruitment screening and employee engagement analysis
  • Administration and Operations: Document handling and task automation

Initiating Use of AI Tools

  • Overview of ChatGPT, Copilot, Gemini, Claude, and similar platforms
  • Leveraging AI for drafting emails, reports, and presentations
  • AI solutions for scheduling, summarization, and translation

Practical Application: AI in Practice

  • Composing and refining text using AI
  • Generating reports and interpreting basic data sets
  • Streamlining routine administrative duties

Challenges and Ethical Implications

  • AI limitations: Bias, hallucinations, and over-dependence
  • Concerns regarding data privacy, confidentiality, and regulatory compliance
  • Best practices for responsible AI usage in professional settings

Forward Planning: Cultivating an AI-Ready Culture

  • Fostering a mindset conducive to AI integration
  • Promoting experimentation and digital curiosity
  • Resources for ongoing AI education

Conclusion and Strategic Action Plan

  • Recap of core concepts and key takeaways
  • Spotting AI opportunities within your specific department
  • Personal action plan: "Which tasks can I automate or enhance with AI?"

Requirements

  • No background in AI or programming is necessary

Target Audience

  • Staff members from administrative, sales, finance, marketing, HR, and other functional areas
  • Managers and team leads eager to embrace AI adoption
  • Support and back-office personnel
 7 Hours

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