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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