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Course Outline

Grasping Artificial Intelligence (AI)

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

AI in Daily Life and Business

  • Instances of AI already part of our daily routines
  • Business sectors significantly impacted by AI
  • Common myths and realities regarding AI in the workplace

AI Applications Across Departments

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

Beginning with AI Tools

  • Introduction to ChatGPT, Copilot, Gemini, Claude, and other platforms
  • Utilising AI for drafting emails, reports, and presentations
  • AI tools for scheduling, summarisation, and translation

Practical Application: AI in Action

  • Drafting and refining text using AI
  • Generating reports and conducting basic data analysis
  • Automating routine administrative duties

Challenges and Ethical Implications

  • AI limitations: Bias, hallucination, and over-reliance
  • Concerns regarding data privacy, confidentiality, and compliance
  • Strategies for responsible AI usage in the workplace

Progressing Forward: Cultivating an AI-Friendly Environment

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

Conclusion and Action Plan

  • Recap of essential concepts and key takeaways
  • Identifying AI opportunities within your specific department
  • Personal action plan: “What tasks can I automate or enhance using AI?”

Requirements

  • No existing knowledge of 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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