Making Architecture Work Effective with AI and Agents
Generative AI and coding agents are fundamentally changing software development. As a result, the role of software architects is changing as well.
AGENTA shows how AI and agents can be meaningfully integrated into architecture work without relinquishing responsibility, quality, or architectural control. The focus is on the deliberate interaction between humans and AI.
What can you expect?
In the AGENTA training, you will learn how generative AI and agents support and transform architecture work. You will explore AI-assisted architectural decisions, the provision of architectural knowledge for agents, and suitable control mechanisms for quality and architectural guidelines.
You will also learn how AI can be used to analyze existing systems and what requirements this creates for governance, security, traceability, and responsibility.
Participant Prerequisites
To participate in the AGENTA training, you should have practical experience in software development or software architecture as well as a basic understanding of typical architecture concepts and architecture artifacts.
- Practical experience in software development or software architecture
- Basic understanding of software architecture and typical architecture artifacts
- Basic knowledge of modern software development processes and collaboration in development teams
- Basic understanding of source code repositories, build pipelines, and common development tools
Experience with architectural decisions, quality requirements, architecture documentation, continuous integration and delivery, testing, and code reviews is also helpful. A basic understanding of generative AI and large language models, initial experience with AI assistants or coding agents, and awareness of the typical limitations of AI systems will make it easier to get started. Experience translating business or quality goals into technical decisions, as well as an understanding of domain concepts, business rules, and stakeholder communication, is also advantageous.
Technical Requirements
There are no special requirements for the training environment, as the exercises use cloud- and web-based tools such as Miro and Draw.io, as well as platforms such as Jupyter or Hugging Face. Only a stable and sufficiently fast internet connection is required.
Your Benefits
You can integrate AI and agents into architecture work in a targeted way.
You gain confidence in working with AI-assisted architectural decisions and control mechanisms.
You understand how to make architectural knowledge usable for agents and architecture work traceable.
You can assess the opportunities, limitations, and responsibilities involved in using AI in software architecture.
Training Content in Detail
Introduction and Fundamentals
- Fundamentals of generative AI, large language models, prompt engineering, and context engineering
- How AI agents work and how they can be used in software development and architecture work
AI-Assisted Architectural Decisions
- Analyze quality goals, architecture drivers, and structural weaknesses with AI
- Develop and evaluate architecture alternatives and validate decisions through experiments
Providing Architectural Knowledge for Agents
- Prepare architectural decisions, quality goals, rules, and domain knowledge for agents
- Make architectural knowledge available effectively using suitable formats and mechanisms
Aligning Agents with Architectural Goals
- Safeguard architectural decisions and technical guidelines through suitable control mechanisms
- Use architecture tests, static analysis, quality gates, and continuous verification in a targeted manner
Extracting Architectural Information from Existing Systems
- Extract architectural information from source code, configurations, tests, and interfaces
- Create and maintain architecture views and documentation with AI support
Governance and Quality Gates When Using AI
- Consider data protection, legal frameworks, traceability, and organizational responsibility
- Reduce risks from prompt injection, tool use, and sensitive information through suitable safeguards
The Evolution of Software Architecture
- Maintain responsibility and architectural judgment when using AI and coding agents
- Shape changes in roles, collaboration, and architecture work in AI-supported organizations
Your Benefits at a Glance
Practice-oriented learning: You experience concrete methods and techniques through realistic challenges from software development and architecture work.
Direct transfer to practice: You apply what you have learned to typical situations from your own projects, teams, and development processes.
Holistic perspective: You consider the use of AI not in isolation, but in conjunction with architecture, quality, governance, and responsibility.
Further Information
Curriculum
The iSAQB curriculum provides further details on the learning objectives and training content.
Discounts
€100 up to 6 weeks before the start of the training.
Time and location don't work for you?
We will be happy to organize a dedicated online training for your team or come directly to your company!
Credit Points for CPSA-A Certification
With the AGENTA training, participants earn 10 technical and 20 methodological credit points under the iSAQB Advanced Level program.
Credit Points
Credit Points
Training Formats
In-Person Training
- Training documents and exercise materials included
- Cold and hot drinks, snacks, and lunch on all training days
- Modern, spacious training rooms for a pleasant learning environment
Live Online Training
- Training documents and exercise materials included
- Visual collaboration, e.g. through whiteboarding
- High level of interactivity through adapted exercises and breakout rooms
- Excellent trainer support, including in breakout rooms
Our Trainers
Experienced trainers guide you through the AGENTA training with a strong practical focus.
Our TrainersTraining Feedback
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iSAQB CPSA Advanced Level Modul AGENTA
Software Architecture in the Age of AI and Agents
+49 621 595702 41Upcoming dates and registration
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