Software architecture for AI systems (SWARC4AI)

The SWARC4AI training course provides knowledge and tools for developing powerful and scalable software architectures for artificial intelligence (AI). Participants gain practical insights into how machine learning, generative AI and classic software approaches can be combined to create future-proof hybrid systems.

This training is aimed at anyone who wants to efficiently integrate AI solutions into existing IT landscapes while focusing on aspects such as scalability, security and maintainability.

 

Practical, compact and realizable

The training combines theoretical knowledge with practical exercises and real-life case studies. Participants learn how to build data-driven architectures that meet the highest standards of compliance and quality.

After completing the training, participants are well equipped to successfully implement AI projects – from the initial idea to integration into productive systems.

 

Time and location not suitable?

We would be happy to organize a separate online training session for your team or come directly to your company.

 

Training content in detail

Introduction to AI software architecture

• Fundamentals of artificial intelligence, machine learning, deep learning and generative AI.
• Typical 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 societal aspects of AI development.

Design and development of AI systems

• Life cycle of ML projects and proven process models.
• Design patterns for maintainable and scalable AI solutions.

 

Benefits of the SWARC4AI training program

• Practice-oriented content: The focus is on real-world examples and practical exercises.
• Cutting-edge concepts: Comprehensive knowledge of current trends and technologies is imparted.
• Efficient integration: Development of hybrid systems that optimally combine machine learning and classical software methods.