Software Architecture for AI Systems

Certified Professional for Software Architecture – Advanced Level (CPSA®)

The CPSA®-Advanced Level Module SWARC4AI – iSAQB® Training Course in Software Architecture for AI Systems

Software Architecture for AI Systems

What essential knowledge do software architects need for developing modern software architectures for AI systems?

Content of the module Software Architecture for AI Systems (SWARC4AI)

  • Introduction to software architecture-relevant concepts for artificial intelligence
  • Compliance, Security, Alignment
  • Design and development of AI systems
  • Data management and data processing for AI systems
  • Important quality characteristics for the operation of AI systems
  • System architectures and platforms for generative AI systems
  • Case studies and practical projects

What essential knowledge do participants of the SWARC4AI module gain for developing modern software architectures for AI systems?

The module presents participants with modern software architecture concepts for AI systems to design powerful, scalable, and integrable AI solutions. At the end of the module, participants will be familiar with the essential principles of software architecture for AI systems. They will be able to apply them in designing and implementing machine learning and generative AI systems. With the help of the modeling techniques and architecture tools taught, they can seamlessly integrate AI components into existing software systems. The training covers machine learning systems and generative AI and teaches how these can be combined with classic software systems. Participants learn what the architecture for such hybrid systems must look like to ensure scalability, maintainability, and expandability.

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