AI in the SDLC (Software Development Lifecycle)
Development teams, tech leads, CTOs
AI is changing every step of the software development process – from requirements analysis and coding to testing and deployment. This training shows where AI tools create genuine value, where they introduce risk, and how teams can adapt their workflow deliberately without losing quality or control.
- AI-assisted requirements analysis and documentation
- Code generation and review with AI: potential and limits
- Automated testing and error analysis
- AI in CI/CD pipelines: where integration makes sense
- Prompt engineering for developers – structured and reproducible
- Quality assurance: when to trust AI output, when not to
- Security and licence risks in AI-generated code
Half-day (approx. 4h) | Remote or on-site | Groups up to approx. 8 people
Your team knows concrete tools and use cases, has developed a critical perspective on AI output, and understands how AI assistance can be integrated into their own workflow – without creating dependency.
