Course Outline

AI 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
  • Employing AI tools for story refinement and the generation of acceptance criteria

AI-Augmented Design and Architecture

  • Leveraging AI to model system components and dependencies
  • Generating architecture diagrams and UML suggestions
  • Validating design through prompt-based system reasoning

AI-Enhanced Development Workflows for Government

  • AI-assisted code generation and boilerplate scaffolding
  • Code refactoring and performance enhancements 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
  • AI-assisted regression analysis and test maintenance
  • Exploratory and boundary case generation with AI

Documentation, Review, and Knowledge Sharing for Government

  • Automatic documentation generation from code and APIs
  • Code review automation using AI prompts and checklists
  • Creating knowledge bases and FAQs using conversational AI

AI in CI/CD and Deployment Automation for Government

  • AI-enhanced pipeline optimization and risk-based testing
  • Intelligent canary release and rollback recommendations
  • AI in deployment verification and post-deploy analysis

Governance, Ethics, and Implementation Strategy for Government

  • Ensuring responsible AI use and avoiding bias in generated code
  • 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

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

Audience

  • Software architects for government
  • Development leads for government projects
  • Engineering managers within public sector organizations
 14 Hours

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