The iSAQB module SWARC4AI teaches modern software architecture concepts specifically for AI systems. The aim is to develop powerful, scalable and seamlessly integrable AI solutions. Participants gain in-depth knowledge of the central principles of software architecture for AI and learn how to apply these effectively in the design and implementation of machine learning and generative AI systems.
Using practice-oriented modelling techniques and proven architecture tools, they acquire the skills to smoothly integrate AI components into existing software systems. The module covers both machine learning and generative AI applications and shows how these can be optimally combined with classic software systems. Participants will learn how to design architectures for hybrid systems in order to fulfil the highest requirements for scalability, maintainability and expandability.
The course combines theoretical impulses with practical exercises. Individual and group work alternate, supplemented by presentations and joint discussions of the results.
This training is aimed at professionals who want to successfully integrate AI solutions into existing IT infrastructures. Special attention is paid to scalability, security and maintainability.
There are no prerequisites for this course.
You will receive an iSAQB-SWArch4AI certificate of attendance with credit points.
Participants receive a defined number of credit points for successful participation in an Advanced Level training course. Participants who wish to register for the CPSA-A® examination require a total of at least 70 credit points. All three areas of competence must be covered with at least 10 credit points each. Each training day is assessed with 10 credit points. A maximum of 30 credit points are awarded for training on a module, even if it takes longer than 3 days in individual cases. More details about CPSA-A®.