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Course Outline

Comprehending Artificial Intelligence (AI)

  • Defining AI: Historical context and development
  • AI Mechanics: Data, algorithms, and learning models
  • AI Classifications (narrow vs general, generative AI, machine learning)

AI in Daily Life and Corporate Settings

  • Real-world examples of AI used in everyday routines
  • Industry sectors undergoing AI transformation
  • Debunking myths and clarifying facts about workplace AI

AI Applications Across Departments

  • Sales and Customer Support: Lead scoring, chatbots, sales forecasting
  • Marketing: Content creation, campaign analysis, trend identification
  • Finance: Invoice automation, fraud prevention, financial projection
  • HR: Candidate screening, employee engagement metrics
  • Administration and Operations: Document control, task automation

Initiating with AI Tools

  • Introduction to ChatGPT, Copilot, Gemini, Claude, and similar platforms
  • Leveraging AI for drafting emails, reports, and presentations
  • AI utilities for scheduling, summarization, and translation

Practical Application: AI in Practice

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

Obstacles and Ethical Implications

  • AI Constraints: Bias, hallucination, and over-reliance
  • Data privacy, confidentiality, and regulatory compliance issues
  • Strategies for responsible AI usage in the workplace

Future Directions: Cultivating an AI-Ready Culture

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

Recap and Strategic Planning

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

Requirements

  • No previous experience in AI or programming is necessary

Target Audience

  • Staff from administrative, sales, finance, marketing, HR, and other departments
  • Managers and team leaders keen on adopting AI
  • Support and back-office personnel
 7 Hours

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