Course Outline

Module 1: Understanding Prompting in IT Contexts

  • Definition of prompting and its significance for IT operations
  • Mechanisms by which AI models interpret context, instructions, and role definitions
  • Key elements of prompts: intent, role, context, constraints, and format
  • Common errors in prompting and strategies to prevent them

Module 2: Structured Prompting Techniques

  • Utilizing frameworks such as Role–Task–Format, Chain-of-Thought, and Few-Shot prompting
  • Developing reusable prompt templates for frequent IT tasks
  • Crafting system-level and task-specific prompts

Module 3: IT Use Cases and Hands-On Practice

  • Composing and refining prompts for:
    • System troubleshooting and diagnostics
    • Configuration and deployment documentation
    • Code review and script generation
    • Client communication and knowledge base updates
  • Iterative refinement of prompts to ensure accuracy and consistency

Module 4: Integrating Prompting into IT Workflows for Government

  • Incorporating AI prompting in IT service management and consulting within government agencies
  • Management of prompt libraries, version control, and documentation
  • Ethical considerations and secure use of AI in governmental environments
  • Future directions: exploring advanced prompting tools and automation frameworks for government

Conclusion and Q&A

  • Summary of key concepts covered
  • Group discussion on best practices and insights gained
  • Actionable takeaways for ongoing professional development
 4 Hours

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