Moving from initial AI initiatives to sustainable enterprise adoption is, above all, an architecture challenge. Technology alone does not create a scalable, integrated and governable AI landscape.

Enterprise Architects play a central role in this transition. They provide orientation across business, technology and governance, assess emerging solution approaches in the context of the existing architecture, and ensure that AI is not treated in isolation but as an integral part of a coherent enterprise architecture.

This requires more than a basic understanding of technology. Architects need to be able to assess developments ranging from generative and agentic AI to RAG, MCP and integration architectures, understand their architectural implications, and translate them into sound decisions.

This is where our AI for Architects course comes in: combining a clear Enterprise Architecture perspective with a structured methodology and a practical AI Reference Architecture.

The course provides a structured, vendor-agnostic perspective on the key concepts, technologies and architecture decisions shaping enterprise AI. The focus is not on technologies in isolation, but on how they fit into a sustainable and coherent enterprise architecture. Participants will learn how to:

• Assess AI with architectural depth: Understand how modern AI works, learns and reasons, and what this means for architecture decisions.
• Evaluate AI opportunities systematically: Assess use cases using a structured methodology and position them within an AI Reference Architecture.
• Make sound architecture decisions: Understand and select key components, concepts and patterns – including GenAI, agentic AI, RAG, MCP and integration architectures – based on context and requirements.
• Embed governance, risk and security: Incorporate governance, security and responsible AI considerations into architecture decisions from the outset.
• Apply the approach in practice: Use the concepts and methods in a realistic use case and transfer them to their own architecture work.
• Leverage AI for Enterprise Architecture: Explore how AI can support architecture work, decision-making and selected EA practices and processes.

1 day