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 Duration 8 hours

Course Outline

Module 1 – Fundamentals of Generative AI and Prompt Engineering

  • Core concepts and operational mechanisms of generative AI
  • The definition of prompt engineering and its critical importance
  • Anatomy of a well-structured prompt
  • Distinguishing between basic and advanced prompting techniques

Module 2 – Prompt Creation and Application by Area of Work

  • Administrative Functions:
    • Composing documents, reports, and professional opinions
    • Standardizing both internal and external correspondence
  • Relationship Management:
    • Enhancing engagement with clients, partners, and internal stakeholders
    • Crafting concise, clear, and personalized responses
  • Analytical Work:
    • Facilitating data-informed decisions and simulated scenario analysis
    • Extracting actionable insights from complex reports
  • Automation:
    • Streamlining and organizing repetitive operational tasks
    • Building automated workflows through chained prompt sequences
  • Specialized Domains:
    • Producing content for legal, commercial, technical, and analytical purposes

Module 3 – Best Practices and Limitations

  • Techniques for prompt refinement and optimization
  • Strategies to mitigate generic or inaccurate outputs
  • Recognizing inherent AI biases and operational limitations

Module 4 – Ethics, Privacy, and Responsibility

  • Ensuring safe and responsible AI adoption in corporate settings
  • Protocols for managing sensitive data and confidential information
  • Adhering to internal guidelines and regulatory compliance

Summary and Next Steps

Requirements

  • Familiarity with standard workplace processes.
  • Proficiency in using digital communication tools.
  • Basic knowledge of data-driven decision-making methods.

Target Audience

  • Corporate professionals
  • Team leaders
  • Administrative and analytical staff

Testimonials (4)

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