Course Outline

Artificial Intelligence in the Requirements and Planning Phase for Government

  • Utilizing Natural Language Processing (NLP) and Large Language Models (LLMs) for requirement analysis
  • Transforming stakeholder input into epics and user stories
  • Leveraging AI tools for story refinement and acceptance criteria generation

AI-Augmented Design and Architecture for Government

  • Employing AI to model system components and dependencies
  • Generating architecture diagrams and UML suggestions
  • Conducting design validation through prompt-based system reasoning

AI-Enhanced Development Workflows for Government

  • Utilizing AI-assisted code generation and boilerplate scaffolding
  • Implementing code refactoring and performance improvements using LLMs
  • Integrating AI tools into Integrated Development Environments (IDEs) such as Copilot, Tabnine, and CodeWhisperer

Testing with AI for Government

  • Generating unit and integration tests using AI models
  • Conducting AI-assisted regression analysis and test maintenance
  • Creating exploratory and boundary case tests with AI

Documentation, Review, and Knowledge Sharing for Government

  • Automatically generating documentation from code and APIs
  • Automating code review using AI prompts and checklists
  • Developing knowledge bases and FAQs using conversational AI

AI in CI/CD and Deployment Automation for Government

  • Enhancing pipeline optimization and risk-based testing with AI
  • Providing intelligent canary release and rollback suggestions
  • Utilizing AI in deployment verification and post-deployment analysis

Governance, Ethics, and Implementation Strategy for Government

  • Ensuring responsible AI use and mitigating bias in generated code
  • Conducting auditing and compliance in AI-assisted workflows
  • Developing a roadmap for phased AI adoption across the Software Development Life Cycle (SDLC)

Summary and Next Steps for Government

Requirements

  • An understanding of software development lifecycle concepts for government projects.
  • Experience in software architecture or team leadership within public sector environments.
  • Familiarity with DevOps, agile practices, or SDLC tooling used in government agencies.

Audience

  • Software architects for government initiatives.
  • Development leads in public sector organizations.
  • Engineering managers overseeing government projects.
 14 Hours

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