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Duration 14 hours
Course Outline
Integrating AI into the Requirements and Planning Stage
- Applying NLP and LLMs for deep requirement analysis
- Transforming stakeholder feedback into epics and user stories
- Utilizing AI tools for story refinement and the generation of acceptance criteria
AI-Enhanced Design and Architecture
- Modeling system components and mapping dependencies with AI assistance
- Generating architecture diagrams and UML suggestions
- Validating designs through prompt-based system reasoning
AI-Optimized Development Workflows
- Assisted code generation and boilerplate scaffolding using AI
- Enhancing code refactoring and performance via LLMs
- Integrating AI tools into IDEs (such as Copilot, Tabnine, and CodeWhisperer)
AI-Powered Testing
- Creating unit and integration tests using AI models
- AI-supported regression analysis and test maintenance
- Generating exploratory and boundary cases with AI
Documentation, Review, and Knowledge Management
- Auto-generating documentation from code and APIs
- Automating code reviews using AI prompts and standardized checklists
- Building knowledge bases and FAQs with conversational AI
AI in CI/CD and Deployment Automation
- Pipeline optimization and risk-based testing enhanced by AI
- Intelligent canary release strategies and rollback recommendations
- AI-driven deployment verification and post-deployment analysis
Governance, Ethics, and Implementation Strategy
- Ensuring responsible AI usage and mitigating bias in generated code
- Auditing and compliance management in AI-assisted workflows
- Developing a roadmap for phased AI adoption across the SDLC
Summary and Future Directions
Requirements
- A solid grasp of software development lifecycle fundamentals
- Practical experience in software architecture or team leadership roles
- Working knowledge of DevOps, agile methodologies, or SDLC-specific tooling
Target Audience
- Software architects
- Development leads
- Engineering managers
Testimonials (1)
That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny
