iSAQB® SWARC4AI - Advanced Level Certification

The SWARC4AI module teaches practical knowledge for architecting modern AI systems. You will learn how to integrate AI components into existing software landscapes, address technical, organizational, and legal requirements, and design scalable, traceable, and reliable AI system architectures.

Key challenges include data dependencies, model versioning, continuous deployment (MLOps), integration of AI with common architecture patterns, and handling uncertainty in AI system behavior.

The module also covers legal and ethical topics such as the EU AI Act, data protection, transparency, and system safety. You will work through real-world scenarios and develop solutions that prepare you to make architectural decisions in AI-based projects.

After the training, you will be able to:

• Understand and plan AI-based system architectures

• Analyze typical requirements and risks of AI systems

• Evaluate uncertainty, black-box behavior, and data dependencies

• Address technical and regulatory demands, including the EU AI Act

• Apply architectural patterns for traditional and generative AI

• Integrate MLOps into modern system architectures

• Design solutions for integrating AI into existing environments

This seminar is licensed by iSAQB and contributes to the admission requirement for the final Advanced Level certification exam (CPSA-A). By attending the 3-day SWARC4AI course, you will earn 30 credit points: 20 in the technical, 10 in the methodological, and 0 in the communicative area. You will also receive an official certificate of participation.

Visit our overview page on iSAQB certifications to gain a full understanding of the process.