AI-assisted Software Development
Generative AI can accelerate research, design, implementation, and testing. Its value does not come from the tool alone, but from people who can assess, verify, and take responsibility for its results.
Our training combines practical use of AI assistants with sound engineering practice, helping teams gain speed without giving up control of quality and architecture.
What your team learns
- how to divide work appropriately between people and AI
- how to provide context and prompts for traceable results
- how to safeguard generated code with tests, reviews, and static analysis
- how to account for limitations, risks, and organizational guardrails
From experiment to reliable practice
Participants work on realistic development tasks and learn where AI saves time—and where professional judgment remains essential. The result is a dependable way of working rather than a loose collection of tricks.
Available dates and formats
Choose the Academy date and format that fits your team.
Want to align the content with your team and tools? Learn about in-house training.