Course Outline

Introduction to Generative AI in Software Development

  • Understanding Generative AI
  • The role of AI in the SDLC
  • Overview of AI-driven development tools

AI-Assisted Coding

  • Predictive coding with AI
  • Code generation and autocompletion tools
  • Enhancing code quality with AI insights

Debugging with AI

  • Automated error detection
  • AI in static code analysis
  • Dynamic analysis with AI support

AI in Code Reviews

  • Automating code review processes
  • AI for code optimization suggestions
  • Ensuring code standards with AI

Root Cause Analysis with AI

  • Data-driven approach to problem-solving
  • AI algorithms for identifying issues
  • Predictive analytics for preventing future errors

Case Studies

  • Real-world examples of AI in the SDLC
  • Success stories and lessons learned
  • Future trends in AI for software development

Hands-On Workshops

  • Interactive sessions with AI coding tools
  • Group projects on AI-assisted debugging
  • Peer reviews using AI-generated insights

Ethical Considerations and Best Practices

  • 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

Requirements

  • An understanding of basic software development concepts
  • Experience with any programming language
  • Familiarity with software development tools and environments

Audience

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

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