The training content at a glance

1. Classification of AI in modern software architecture
2. Realistically assess the capabilities and limitations of LLMs
3. Integration of AI into development, architecture and operating processes
4. Agentic coding and AI-assisted workflows
5. Use of AI for code generation, refactoring and reviews
6. Design of architectural artefacts for humans and AI
7. Use of proven methods such as TDD, DDD, set-based design and mockups
8. Evaluation of security, compliance and cost risks
9. Importance of infrastructure, pipelines and DevOps for AI
10. Introduction of AI in the company incl. change management and AI readiness

Target group

The training is aimed at software developers, architects and technical managers who want to integrate AI into their development processes in a meaningful way and use it strategically.

Experience in software development and a basic understanding of architecture are required.