iSAQB® Software Architecture for AI Systems - CPSA Advanced Level
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Machine Learning Engineer
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. You will 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.
With practice-oriented modeling techniques and proven architecture tools, you will 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. You will learn how architectures for hybrid systems are designed to meet the highest requirements for scalability, maintainability and expandability.
- Getting to know the AI software architecture
- Understanding compliance, security and ethical challenges
- Designing and developing AI systems
- Knowledge of data management and data processing for AI systems
- Understanding the quality characteristics and operation of AI systems
- Integrating and future-proofing systems
- Development of case studies and practical projects
The course combines theoretical impulses with practical exercises. Individual and group work alternate, supplemented by presentations and joint discussions of the results.
You will receive an iSAQB-SWArch4AI certificate of attendance with credit points.
There is a defined number of credit points for successful participation in an Advanced Level training course. If you want to register for the CPSA-A® exam, you need 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.
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.
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