AI for Architects
The AI for Architects training is a comprehensive course designed for IT system architects who want to understand and leverage the potential of artificial intelligence in conceptual, analytical, and design work.
Ideal for teams that…
Hands-on AI and data analytics workshops — built around your team's real cases.
Fundamentals of artificial intelligence and machine learning in the context of system architecture
Business and technical requirements analysis supported by AI
Designing and optimizing prompts to support architecture work
Integrating AI with systems (API-first, middleware, microservices, event-driven architecture)
Generating architectural patterns, technical documentation, and diagrams using AI
Applying best practices, including quality control, avoiding model hallucinations, and ensuring security
Using AI for code analysis, proof-of-concepts, and automating an architect’s work
What we actually do
- · Day 1 – Introduction to AI in the Context of System Architecture Fundamentals of AI and ML from an architect’s perspective Key AI application areas: Computer Vision, NLP, Generative AI LLMs and SLMs – technology overview, evolution of language models, and their impact on system architecture Overview of tools and environments: OpenAI API, open-source, cloud integrations Architectural challenges in AI implementation: performance, security, scalability, compliance
- · Day 2 – AI in System Design and Integration Introduction to Prompt Engineering for architects (creating precise queries for technical analysis) Business and technical requirements analysis with AI AI integration with existing systems: API-first, middleware, microservices, event-driven architecture Best practices: limitations, model hallucinations, quality control Supporting system architecture design: Generating proposals for architectural patterns Analyzing dependencies and technical risks Documenting architecture and generating diagrams
- · Day 3 – AI in Practice for Architects AI in code analysis from an architectural perspective (refactoring, standards compliance) Generating proof-of-concepts with AI Using GitHub Copilot and alternative tools to support architect work Creating and validating technical documentation with AI Case studies: AI implementations in large IT environments Discussion: AI trends in software and enterprise systems architecture
From brief to retro in 30 days.
Brief & diagnosis
A call with the team lead + a short survey for participants. We define goals, gap and context.
Program customization
We adapt modules, case studies and code examples to your stack. Approval in 5 days.
Workshop
Trainer-led sessions, hands-on, code review. Mentor available between sessions too.
Retro + report
Outcome report for the team and lead. 30 days of consulting included.
Send a brief. We'll reply within 1 day.
After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.
Thank you!
We'll get back to you within 1 business day.
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