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Course Outline

Introduction to Generative AI in Software Development

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

AI-Assisted Coding

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

Debugging with AI

  • Automated error detection.
  • AI applications in static code analysis.
  • Dynamic analysis supported by AI.

AI in Code Reviews

  • Automating code review processes.
  • AI-driven code optimization suggestions.
  • Ensuring adherence to code standards with AI.

Root Cause Analysis with AI

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

Case Studies

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

Hands-On Workshops

  • Interactive sessions featuring AI coding tools.
  • Group projects focused on AI-assisted debugging.
  • Peer reviews utilising AI-generated insights.

Ethical Considerations and Best Practices

  • Ethical application of AI in software development.
  • Best practices for integrating AI into the SDLC.
  • Balancing human expertise with AI capabilities.

Summary and Next Steps

Requirements

  • A fundamental understanding of software development concepts.
  • Experience with at least one programming language.
  • Familiarity with standard software development tools and environments.

Target Audience

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

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