Course Outline

Introduction to Generative AI in Software Development for Government

  • Understanding Generative AI
  • The Role of AI in the Software Development Life Cycle (SDLC)
  • Overview of AI-Driven Development Tools

AI-Assisted Coding for Government

  • Predictive Coding with AI
  • Code Generation and Autocompletion Tools
  • Enhancing Code Quality with AI Insights

Debugging with AI for Government

  • Automated Error Detection
  • AI in Static Code Analysis
  • Dynamic Analysis with AI Support

AI in Code Reviews for Government

  • Automating Code Review Processes
  • AI for Code Optimization Suggestions
  • Ensuring Code Standards with AI

Root Cause Analysis with AI for Government

  • Data-Driven Approach to Problem-Solving
  • AI Algorithms for Identifying Issues
  • Predictive Analytics for Preventing Future Errors

Case Studies for Government

  • Real-World Examples of AI in the SDLC
  • Success Stories and Lessons Learned
  • Future Trends in AI for Software Development

Hands-On Workshops for Government

  • Interactive Sessions with AI Coding Tools
  • Group Projects on AI-Assisted Debugging
  • Peer Reviews Using AI-Generated Insights

Ethical Considerations and Best Practices for Government

  • Ethical Use of AI in Software Development
  • Best Practices for Integrating AI into the SDLC
  • Balancing Human Expertise with AI Capabilities

Summary and Next Steps for Government

Requirements

  • A foundational understanding of software development concepts
  • Practical experience with any programming language
  • Proficiency with software development tools and environments

Audience for Government

  • Software developers
  • Technical team leads
  • Product managers
 21 Hours

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