Software architecture for AI
iSAQB SWARC4AI module
What is software architecture for AI systems?
Software architecture for AI systems deals with the development and integration of artificial intelligence into existing software environments. Unlike traditional software, AI systems present specific challenges, such as data dependencies, model versioning and unpredictable system behaviour.
In the iSAQB SWARC4AI training course, you will learn how to design modern architectures for AI-based applications and how to efficiently integrate machine learning and generative AI into your systems.
Why is AI software architecture so important?
AI systems place entirely new demands on software architecture:
- Handling large volumes of data and data pipelines
- Integrating machine learning into existing systems
- Dealing with uncertainty and ‘black box’ models
- Scalability and performance
- Compliance with regulatory requirements (e.g. the EU AI Act)
With the SWARC4AI training course, you will learn to systematically tackle these challenges and develop robust, future-proof systems.
iSAQB Advanced Level – SWARC4AI Certification
The SWARC4AI training course is an accredited module of the iSAQB Advanced Level and equips you with in-depth expertise in the field of software architecture for AI systems.
As part of the course, you will earn 30 credit points, comprising 20 technical and 10 methodological points, which can be counted towards the ‘Certified Professional for Software Architecture – Advanced Level (CPSA-A)’ certification.
Get double the benefits now
Use the code ‘Team20’ to save 20% on the same training course for all participants from your organisation from the second person onwards – and if you register early, you’ll also benefit from our attractive early-bird price. Register together now and get more out of it!
Alternatively, we also offer bespoke in-house training courses for your organisation – at our premises, at yours or remotely. Please contact us directly for a personalised quote.
Credits: Technology 20 | Methodology 10 | Communication -
Maximum number of participants per session: 12 people