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Course Outline
AI in the Requirements and Planning Phase
- Utilizing NLP and LLMs for requirement analysis.
- Converting stakeholder input into epics and user stories.
- Employing AI tools for story refinement and generating acceptance criteria.
AI-Augmented Design and Architecture
- Using AI to model system components and dependencies.
- Generating architecture diagrams and UML suggestions.
- Validating designs through prompt-based system reasoning.
AI-Enhanced Development Workflows
- Leveraging AI-assisted code generation and boilerplate scaffolding.
- Improving code refactoring and performance using LLMs.
- Integrating AI tools into IDEs (e.g., Copilot, Tabnine, CodeWhisperer).
Testing with AI
- Generating unit and integration tests using AI models.
- Assisting with regression analysis and test maintenance via AI.
- Employing AI for exploratory testing and boundary case generation.
Documentation, Review, and Knowledge Sharing
- Automatically generating documentation from code and APIs.
- Automating code reviews using AI prompts and checklists.
- Creating knowledge bases and FAQs using conversational AI.
AI in CI/CD and Deployment Automation
- Optimizing pipelines and conducting risk-based testing with AI enhancements.
- Receiving intelligent suggestions for canary releases and rollbacks.
- Utilizing AI for deployment verification and post-deployment analysis.
Governance, Ethics, and Implementation Strategy
- Ensuring responsible AI use and mitigating bias in generated code.
- Managing auditing and compliance within AI-assisted workflows.
- Developing a roadmap for phased AI adoption across the SDLC.
Summary and Next Steps
Requirements
- A foundational understanding of software development lifecycle concepts.
- Experience in software architecture or team leadership roles.
- Familiarity with DevOps practices, agile methodologies, or SDLC tooling.
Audience
- Software architects
- Development leads
- Engineering managers
14 Hours
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 3200 € + VAT*
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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
