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Course Outline

Grasping Artificial Intelligence (AI)

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

AI in Daily Life and Business Contexts

  • Common AI examples encountered daily
  • Industries significantly impacted by AI
  • Dispelling myths and clarifying facts about workplace AI

AI Applications Across Departments

  • Sales and Customer Service: Lead scoring, chatbots, and sales forecasting
  • Marketing: Content creation, campaign analysis, and trend spotting
  • Finance: Invoice automation, fraud identification, and financial forecasting
  • HR: Candidate screening and employee engagement analytics
  • Administration and Operations: Document handling and task automation

Launching with AI Tools

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

Practical Application: AI in Practice

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

Navigating Challenges and Ethical Issues

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

Moving Forward: Cultivating an AI-Ready Culture

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

Recap and Action Planning

  • Consolidating key concepts and main takeaways
  • Spotting AI opportunities within your specific department
  • Developing a personal roadmap: “How can I leverage AI to automate or improve my tasks?”

Requirements

  • No prior experience in AI or programming is necessary

Target Audience

  • Professionals from administrative, sales, finance, marketing, HR, and other functional areas
  • Managers and team leads keen on adopting AI solutions
  • Support and back-office personnel
 7 Hours

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