Course Outline
AI in the Requirements and Planning Phase
- Applying NLP and LLMs for requirements analysis
- Transforming stakeholder feedback into epics and user stories
- Leveraging AI tools for story refinement and generating acceptance criteria
AI-Enhanced Design and Architecture
- Modeling system components and dependencies using AI
- Creating architecture diagrams and UML recommendations
- Validating designs through prompt-based system reasoning
AI-Optimized Development Workflows
- AI-supported code generation and boilerplate structuring
- Refactoring code and enhancing performance with LLMs
- Embedding AI tools into IDEs (e.g., Copilot, Tabnine, CodeWhisperer)
AI in Testing
- Generating unit and integration tests using AI models
- AI-assisted regression analysis and test maintenance
- Creating exploratory and boundary cases with AI assistance
Documentation, Review, and Knowledge Sharing
- Auto-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
- Suggesting intelligent canary releases and rollbacks
- AI-driven deployment verification and post-deployment analysis
Governance, Ethics, and Implementation Strategy
- Ensuring responsible AI usage and preventing bias in generated code
- Maintaining auditing and compliance in AI-assisted workflows
- Developing a roadmap for phased AI adoption across the SDLC
Summary and Next Steps
Requirements
- A solid grasp of software development lifecycle principles
- Practical experience in software architecture or leading development teams
- Proficiency with DevOps, agile methodologies, or SDLC-related tools
Target Audience
- Software architects
- Development leads
- Engineering managers
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
Contact us for an exact quote and to hear our latest promotions
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
