iSAQB® CPSA-A - SOFT - Soft Skills for Software Architects (English)

Software architecture for AI systems: practical, compact, and actionableThis training combines theoretical knowledge with hands-on exercises and real-world case studies. Participants learn how to develop data-driven architectures that meet the highest standards of compliance and quality. Upon completing the training, they are well-prepared to successfully implement AI projects—from the initial idea to integration into production systems.

This course is aimed at anyone who wants to efficiently integrate AI solutions into existing IT landscapes while focusing on aspects such as scalability, security, and maintainability.

What can you expect?In the SWARC4AI training, you will gain practical knowledge and tools to develop scalable software architectures for AI. You will learn how to combine machine learning, generative AI, and classical approaches into hybrid, future-proof systems. The focus is on integrating AI into existing IT landscapes with attention to scalability, security, and maintainability.

Content

• Introduction to AI software architecture

• Compliance, security, and ethical challenges

• Design and development of AI systems

• Efficient data management

• Quality attributes and operation of AI systems

• System architectures and platforms for generative AI

• Case studies and practical projects

Participant prerequisites

• Solid understanding of software architecture and the design of software systems, APIs, and DevOps

• Basic knowledge of AI processes (machine learning, model training, MLOps, deployment, data pipelines)

Credit points for CPSA-A certificationWith the SWARC4AI training, participants earn 20 technical and 10 methodological credit points according to the iSAQB Advanced Level program.