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AI as Assistance Systems for Software Architects
How AI Becomes a Tool in the Architectural Process
Online
2 days
German
€1,690
plus VAT.
€ 2.011,10
incl. VAT.
Booking number
43401
Venue
Online
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4 dates
€1,690
plus VAT.
€ 2.011,10
incl. VAT.
Booking number
43401
Venue
Online
4 dates
plus VAT.
incl. VAT.
Booking number
Venue
0 Dates
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Machine Learning Engineer
Machine Learning Engineer
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AI4SWARC is a newly developed training course on the use of AI as a tool in the architectural process.
It focuses on how AI-based tools can specifically support day-to-day architectural work—from requirements analysis and decision-making to documentation.
The AI4SWARC module addresses the use of artificial intelligence as a tool to support the architectural process—in contrast to the SWARC4AI module, which treats AI as a component of the target architecture. The goal of the module is to empower architects and technical leadership to use generative AI and other AI technologies in a targeted manner to make analysis, design, decision-making, and documentation tasks in everyday architectural practice more efficient and of higher quality. It also aims to demonstrate how architectural work can be reimagined in light of current developments in the field of AI.
Participants will gain insight into how architectural work can be reimagined in light of current developments in AI, including risks, traceability, and ethical and regulatory guidelines.
Contents
You’ll gain a practical understanding of how AI-powered analysis and decision support can be applied in the architectural process. One of the key focuses is on generative AI for architectural documentation, such as ADRs, models, and reviews. In addition, the course covers prompt engineering, agent-based workflows, and automation concepts, as well as the responsible handling of risks, traceability, ethics, and regulatory frameworks.
AI as a Tool in the Architectural Process
- An assessment of where AI provides useful support in everyday architectural practice and where clear limits lie.
- An overview of typical areas of application so you can take advantage of opportunities without blindly trusting them.
AI Support in Requirements Analysis and Design
- Insights into how AI can assist with structuring, analyzing, and clarifying requirements.
- Focus on transparent results and clear accountability throughout the process.
Generative AI for Documentation, Models, and Reviews
- Applications related to architectural documentation and decision-making materials, without diluting the content.
- Support for review processes and coordination to make it easier to communicate results.
Prompt Engineering, Agent-Based Workflows, and Automation Ideas
- Practical guidance on how to prepare assignments effectively so that AI-generated content can be put to good use.
- A framework for how assistance and automation can be conceived in an architectural context without overengineering.
Quality Assurance and Evaluation with AI Support
- Use cases for evaluation and analysis in day-to-day project work, ranging from artifacts to runtime signals.
- The Role of Simulation and Digital Twins as Conceptual Tools in the Context of Architecture.
Risks, traceability, and ethical and regulatory guidelines
- Managing typical risks to ensure that AI results remain subject to critical scrutiny.
- Overview of data protection, the regulatory framework, and responsible use.
Requirements:
- A solid understanding of software architecture, as well as typical analysis, design, decision-making, and documentation tasks in day-to-day architectural work.
- Practical relevance to requirements analysis and design, architectural documentation (e.g., ADRs), and review and communication situations in a project context.
- A willingness to use AI as a tool in the process and to critically evaluate results in terms of risks and traceability.
Technical requirements:
There are no special requirements for the training environment, as the exercises take place using cloud- and web-based tools such as Miro, Draw.io, and platforms such as Jupyter or HuggingFace. All that is needed is a stable and sufficiently fast internet connection.
Learning environment
Your benefit
- You can strategically integrate AI as an assistive tool in the architectural process and use it effectively.
- You'll gain confidence in AI-powered analysis and decision support in your day-to-day architectural work.
- You'll learn how generative AI can assist with documentation and review tasks.
- You'll gain insight into prompt engineering, agent-based workflows, and automation in the context of architecture.
- You enhance transparency and risk management in AI-supported work.
- You are familiar with key ethical and regulatory guidelines for use in day-to-day project work.
Your benefits at a glance
- Practical content: The focus is on real-world examples and hands-on exercises directly relevant to everyday architectural practice.
- AI as a Tool in the Architectural Process: You’lllearn how to effectively use AI-based assistance for requirements analysis, decision-making, and documentation.
- Safe and transparent use: Youkeep an eye on risks, transparency, and ethical and regulatory frameworks.
trainers
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Methods
- Visual collaboration through, for example, whiteboarding
- High level of interactivity through customized exercises and breakout rooms
- Ideal trainer support even in the breakout rooms
Final examination
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