Course Outline

Best Practices and Tools for Government

Common Pitfalls and Mitigation Strategies for Government

Introduction to Prompt Engineering for Government

Prompt Refinement and Iterative Design for Government

Prompting for Test Automation and SQL Generation for Government

Summary and Next Steps for Government

Using Prompts for Code Explanation and Debugging for Government

Writing Prompts for Code Generation for Government

  • Avoiding hallucinated code or security vulnerabilities in government systems
  • Handling incomplete or ambiguous inputs in government applications
  • Creating safe fallback prompts and guardrails for government use
  • Creating test cases from requirements or code for government projects
  • Generating structured SQL queries from natural language for government databases
  • Formatting outputs for integration into government test suites
  • Explaining legacy or unfamiliar code in government systems
  • Prompting for logic walkthroughs or edge case analysis in government applications
  • Finding and explaining bugs or inefficiencies in government software
  • Generating code from plain-language descriptions for government projects
  • Controlling output format and programming language for government use
  • Working with complex logic or multiple functions in government applications
  • Improving results through prompt chaining and feedback loops in government systems
  • Error recovery and prompt tuning strategies for government use
  • Case studies in refinement for technical tasks in government agencies
  • Prompt libraries and reuse patterns for government operations
  • Using prompt templates in VS Code or API-based workflows for government projects
  • Evaluating prompt quality and performance in production use for government systems
  • Understanding prompts, context, tokens, and models for government applications
  • Prompt types: zero-shot, one-shot, few-shot for government use
  • Using system vs. user instructions in different APIs for government systems

Requirements

Audience

  • Developers utilizing Large Language Models (LLMs) for code generation or analysis in government projects
  • Technical leads investigating AI tools for integration into workflows for government operations
  • Software professionals experimenting with LLM integrations to enhance public sector applications
  • Experience in software development or scripting, particularly for government projects
  • Familiarity with common programming languages such as Python, JavaScript, and SQL, used in government systems
  • Basic understanding of large language models and AI tools like ChatGPT, Claude, or Copilot, as they apply to government applications
 7 Hours

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