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Course Outline

Grasping Artificial Intelligence (AI)

  • Defining AI: Its historical context and progression
  • 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 Corporate Settings

  • Everyday instances of AI usage
  • Industries significantly impacted by AI
  • Clarifying misconceptions and truths regarding AI in the workplace

AI Applications Across Various Departments

  • Sales & Customer Service: Lead scoring, chatbot deployment, and sales forecasting
  • Marketing: Content creation, campaign performance analysis, and trend identification
  • Finance: Invoice processing automation, fraud prevention, and financial prediction
  • HR: Candidate screening and employee engagement analysis
  • Administration & Operations: Document control and process automation

Introduction to AI Platforms

  • Survey of ChatGPT, Copilot, Gemini, Claude, and similar tools
  • Leveraging AI for drafting emails, reports, and presentations
  • AI utilities for scheduling, summary generation, and language translation

Practical Application: AI in Practice

  • Crafting and refining written content with AI assistance
  • Generating reports and interpreting fundamental data sets
  • Streamlining standard administrative duties

Obstacles and Ethical Implications

  • AI Constraints: Addressing bias, hallucinations, and over-reliance
  • Issues surrounding data privacy, confidentiality, and regulatory compliance
  • Strategies for responsible AI usage in professional environments

Path Forward: Cultivating an AI-Positive Environment

  • Fostering a mindset conducive to AI integration
  • Promoting a culture of experimentation and digital inquisitiveness
  • Accessing resources for ongoing AI education

Recap and Strategic Plan

  • Consolidation of essential concepts and key learnings
  • Spotting AI potential within your specific department
  • Personal roadmap: “Which tasks can I automate or enhance with AI?”

Requirements

  • No previous background in AI or programming is necessary

Target Audience

  • Personnel from administrative, sales, finance, marketing, HR, and other functional areas
  • Managers and team leaders keen on adopting AI technologies
  • Support and back-office teams
 7 Hours

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