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 Duration 7 hours

Course Outline

Grasping Artificial Intelligence (AI)

  • Defining AI: Its history and development
  • AI mechanics: The role of data, algorithms, and learning models
  • Categories of AI (narrow vs. general, generative AI, machine learning)

AI in Daily Life and the Business World

  • Examples of AI integrated into our daily routines
  • Industries undergoing transformation through AI
  • Distinguishing myths from reality regarding AI in the workplace

AI Use Cases Across Departments

  • Sales and Customer Service: Qualifying leads, chatbot implementation, and sales forecasting
  • Marketing: Creating content, analyzing campaign performance, and tracking trends
  • Finance: Automating invoices, detecting fraud, and financial forecasting
  • HR: Screening candidates and gaining insights into employee engagement
  • Administration and Operations: Managing documents and automating routine tasks

Beginning with AI Tools

  • An overview of ChatGPT, Copilot, Gemini, Claude, and other platforms
  • Leveraging AI for drafting emails, reports, and presentations
  • Utilizing AI for scheduling, summarization, and translation tasks

Practical Application: AI in Practice

  • Crafting and refining text with AI assistance
  • Generating reports and interpreting basic data sets
  • Streamlining routine administrative duties

Navigating Challenges and Ethical Issues

  • AI limitations: Addressing bias, hallucinations, and over-reliance
  • Concerns regarding data privacy, confidentiality, and regulatory compliance
  • Strategies for responsible AI usage in a professional setting

Moving Forward: Cultivating an AI-Ready Environment

  • Shaping a mindset conducive to AI integration
  • Fostering experimentation and digital curiosity
  • Finding resources for ongoing AI education

Recap and Action Plan

  • Revisiting essential concepts and key takeaways
  • Identifying potential AI opportunities within your specific department
  • Personal roadmap: "How can I leverage AI to automate or improve my work?"

Requirements

  • No previous experience with AI or coding is necessary

Target Audience

  • Staff in administration, sales, finance, marketing, HR, and other functional areas
  • Leaders and team managers keen on adopting AI technologies
  • Support personnel and back-office teams

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