Training profile
Target audience
Software developers, test engineers, DevOps engineers, and solution architects.
Outcomes
- Integrating AI across all SDLC stages
- Setting up test automation and AI-assisted code review
- Measuring delivery with quality metrics
- Evaluating use cases for Cursor, GitHub Copilot, and Jira AI
Curriculum
- SDLC maturity assessment
- AI-enabled requirements and backlog management
- User story and acceptance criteria generation
- AI-assisted development and code review
- Test scenario generation and test automation
- DevSecOps and CI/CD integration
- Release management and quality metrics
- Theoretical and hands-on tool practice: Cursor, GitHub Copilot, and Jira AI