+49 6196 400 893
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.

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.
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)
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.
➤ 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


✔️ 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
By completing the SWARC4AI training, participants earn 20 technical and 10 methodological credit points according to the iSAQB Advanced Level Program.
Get all the important information on learning objectives and training content
in the iSAQB curriculum for your optimal further education.
➤ 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
➤ Training materials and exercises
➤ Cold and hot beverages, snacks, and lunch on all training days
➤ Spacious, modern training rooms for a comfortable learning experience
Secure a €150 discount on all 4-day and €100 discount on all 3-day training courses
when you book at least 6 weeks before the start date.
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.
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.
The content provided inspiration for rethinking development processes. The materials were also praised – structured, clear, and easily usable beyond the training.
Then find out more about our in-house training courses here and contact us for a personal consultation.
+49 (0) 6196 400 893
actIT academy & consulting GmbH
Alfred – Herrhausen – Allee 3-5, 65760 Eschborn