Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Applying AI in the Requirements and Planning Phase
- Leveraging NLP and LLMs for detailed requirement analysis.
- Translating stakeholder feedback into epics and user stories.
- Employing AI tools to refine stories and generate acceptance criteria.
AI-Supported Design and Architecture
- Modeling system components and dependencies with AI assistance.
- Creating architecture diagrams and UML suggestions using AI.
- Validating designs through prompt-based system reasoning.
Enhancing Development Workflows with AI
- AI-assisted code generation and boilerplate scaffolding.
- Utilizing LLMs for code refactoring and performance optimization.
- Embedding AI tools within IDEs (such as Copilot, Tabnine, and CodeWhisperer).
AI in Testing
- Generating unit and integration tests with AI models.
- Supporting regression analysis and test maintenance via AI.
- Using AI to create exploratory and boundary case tests.
Documentation, Review, and Knowledge Dissemination
- Automatically generating documentation from code and APIs.
- Automating code reviews using AI prompts and checklists.
- Building knowledge bases and FAQs with conversational AI.
AI in CI/CD and Deployment Automation
- Optimizing pipelines and implementing risk-based testing with AI.
- Receiving intelligent canary release and rollback recommendations.
- Using AI for deployment verification and post-deployment analysis.
Governance, Ethics, and Implementation Strategy
- Promoting responsible AI usage and mitigating bias in generated code.
- Ensuring auditing and compliance in AI-assisted workflows.
- Developing a roadmap for the phased adoption of AI across the SDLC.
Summary and Future Steps
Requirements
- A solid grasp of software development lifecycle principles.
- Practical experience in software architecture or leading development teams.
- Working knowledge of DevOps, agile methodologies, or SDLC-related tools.
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
