iSAQB CPSA Advanced Level Modul SWARC4AI

Foundation for Future-Proof AI Systems – SWARC4AI
 

Format: On-site and Online Training

Duration:3 days (according to the iSAQB curriculum) or 4 days (including extended fundamentals)

Software Architecture for AI Systems – practical, compact, and actionable.
This training combines theoretical knowledge with hands-on exercises and real-world case studies. Participants learn how to design data-driven architectures that meet the highest standards of compliance and quality.
After completing the training, you will be well-prepared to implement AI projects successfully – from the first idea to integration into productive systems.

This course is aimed at professionals who want to efficiently integrate AI solutions into existing IT landscapes while focusing on scalability, security, and maintainability.

What to Expect?

In the SWARC4AI training, you will gain practical knowledge and tools for developing scalable software architectures for AI. You will learn how to combine Machine Learning, Generative AI, and classical approaches to create hybrid, future-ready systems.
The focus lies on integrating AI into existing IT environments while maintaining scalability, security, and maintainability.

Prerequisites for Participants

3-Day Version:

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

➤ Strong knowledge of AI processes (machine learning, model training, MLOps, deployment, data pipelines)

4-Day Version:

➤ Basic 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)

Technical Requirements

No special setup is required for the training environment. Exercises are conducted using cloud- and web-based tools such as Miro, Draw.io, and platforms like Jupyter or HuggingFace.
A stable and sufficiently fast internet connection is required.

Your Added Value

➤ Gain expertise in modern software architecture for AI systems

➤ Learn how to combine Machine Learning, Generative AI, and classical approaches into hybrid systems

➤ Acquire practical knowledge for integrating AI into existing IT landscapes

➤ Learn to design scalable, maintainable, and extendable AI solutions

➤ Understand how to ensure compliance with security, data protection, and regulatory standards

➤ Explore how to address ethical considerations in AI development

Training Content in Detail

✔️ Introduction to AI Software Architecture

➤ Fundamentals of Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI

➤ Common use cases and potential risks of AI systems

✔️ Compliance, Security, and Ethical Challenges

➤ Data protection laws (e.g., EU AI Act) and security requirements

➤ Ethical and social aspects of AI development

✔️ Design and Development of AI Systems

➤ Lifecycle of ML projects and proven development models

➤ Design patterns for maintainable and scalable AI solutions

✔️ Efficient Data Management

➤ Data acquisition, labeling, and processing

➤ Building robust data pipelines and storage solutions

✔️ Quality Attributes and Operation of AI Systems

➤ Hardware requirements, monitoring, and sustainable AI operations

✔️ Architectures and Platforms for Generative AI

➤ Integration of AI into existing IT landscapes

➤ Future-proof design patterns and evaluation frameworks

✔️ Case Studies and Practical Exercises

➤ Applying learned concepts to real-world scenarios and challenges

Your Benefits at a Glance

Practical focus: Real examples and hands-on exercises

State-of-the-art concepts: Up-to-date knowledge of modern trends and technologies

Efficient integration: Develop hybrid systems combining Machine Learning and traditional software methods

Open dates and registration 2025/2026

*plus VAT, minus discounts where applicable. Discounts are automatically deducted in the shopping cart. Please add the number of participants to the shopping cart.

-100€

up to 6 weeks before the start of the training.

The time and location don’t work?

We’d be happy to organize a custom online training session for your team or come directly to your company!

Curriculum

Learn more about the learning objectives and training contents in the official iSAQB curriculum.

Credit Points for CPSA-A Certification

With the SWARC4AI training, participants will earn 20 technical and 10 methodological credit points according to the iSAQB Advanced Level program.

Technical competence

Methodical competence

Face-to-face training

➤ Training materials and exercises

➤ Cold and hot beverages, snacks, and lunch on all training days

➤ Spacious, modern training rooms for a comfortable learning experience

Live-Online-Training

➤ Training materials and exercises

➤ Visual collaboration through tools such as whiteboarding

➤ High interactivity with tailored exercises and breakout rooms

➤ Excellent trainer support, even during breakout sessions

Voices from training

J.R | Apr 2025

The governance topics were found to be particularly helpful – an aspect that is often neglected, especially in the context of regulated environments, and was examined here in a practical way.

S.R | Jun 2025

The fact that the training lasted four days was perceived as a real advantage. There was a feeling that depth and practice weren’t sacrificed for speed—which can easily happen with shorter formats.

A.T | Jun 2025

The content provided inspiration for rethinking development processes. The materials were also praised – structured, clear, and easily usable beyond the training.

Discover More Trainings!

Would you like customized in-house training?

Do you have a whole team that you would like to train, but none of our training courses meet your requirements? No problem! We are happy to create a customized in-house training course in collaboration with you, whether for beginners or advanced learners. We look forward to your inquiry!

Inquiries+49 621 595702-41