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 Duration 21 hours

Course Outline

Introduction to Generative AI in Software Engineering

  • Foundations of Generative AI
  • The strategic role of AI within the SDLC
  • Survey of AI-driven development utilities

AI-Enhanced Coding

  • Leveraging predictive coding capabilities
  • Utilizing code generation and autocompletion utilities
  • Refining code quality through AI-driven insights

Intelligent Debugging

  • Automated detection of errors
  • Integrating AI into static code analysis
  • Supporting dynamic analysis with AI

AI in Code Review Processes

  • Streamlining code review workflows
  • Generating optimization suggestions via AI
  • Maintaining code standards with AI assistance

Root Cause Analysis via AI

  • Adopting a data-centric approach to problem resolution
  • Using AI algorithms to pinpoint issues
  • Applying predictive analytics to prevent future errors

Case Studies

  • Real-world applications of AI within the SDLC
  • Analyzing success stories and key takeaways
  • Exploring emerging trends in AI for software development

Practical Workshops

  • Interactive sessions utilizing AI coding tools
  • Collaborative projects focused on AI-assisted debugging
  • Conducting peer reviews using AI-generated feedback

Ethics and Best Practices

  • Responsible use of AI in software engineering
  • Best practices for seamless AI integration into the SDLC
  • Balancing human expertise with AI capabilities

Conclusion and Future Directions

Requirements

  • A solid foundation in fundamental software development principles
  • Practical experience with at least one programming language
  • Comfort with standard software development tools and environments

Target Audience

  • Software developers
  • Technical team leads
  • Product managers

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