Software architecture for AI
iSAQB module SWARC4AI
What is software architecture for AI systems?
Software architecture for AI systems deals with the development and integration of artificial intelligence into existing software landscapes. In contrast to conventional software, AI systems pose special challenges, such as data dependencies, model versioning and uncertain system behaviour.
In the iSAQB SWARC4AI training course, you will learn how to design modern architectures for AI-based applications and efficiently integrate machine learning and generative AI into your systems.
Why is AI software architecture so important?
AI systems place completely new demands on software architecture:
- Handling large amounts of data and data pipelines
- Integration of machine learning into existing systems
- Dealing with uncertainty and "black box" models
- Scalability and performance
- Compliance with regulatory requirements (e.g. EU AI Act)
With the SWARC4AI training, you will learn how to systematically solve these challenges and develop robust, future-proof systems.
iSAQB Advanced Level - SWARC4AI certification
The SWARC4AI training is an accredited module of the iSAQB Advanced Level and provides you with in-depth expertise in the field of software architecture for AI systems.
As part of the training, you will earn 30 credit points, which are made up of 20 technical and 10 methodological points and can be credited towards the "Certified Professional for Software Architecture - Advanced Level (CPSA-A)" certification.
Secure double benefits now
With the code "Team20", all participants from your company save 20% on the same training course - and if you register early, you also benefit from our attractive early bird price. Register together now and get more out of it!
Alternatively, we also offer customised in-house training courses for your company - at our premises, at your premises or remotely. Please contact us directly for your customised offer.
Credits: Technology 20 | Methodology 10 | Communication -
Maximum number of participants per session: 12 people
