Training: AI for IT system architects
Level
BeginnerDuration
24h / 3 daysDate
Individually arrangedPrice
Individually arrangedTraining: AI for IT system 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. During three days of intensive workshops, participants will explore key AI applications (including Computer Vision, NLP, Generative AI), learn to create precise prompts (Prompt Engineering), integrate AI into existing systems, and implement solutions aligned with architectural best practices. Recommended background: experience in designing IT system architecture and familiarity with distributed systems and APIs.
What will you learn?
- 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
Who is this training for?
IT system architects (Solution/Software Architects)-
Professionals with experience in designing distributed system architectures and APIs
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Specialists interested in using AI in conceptual, analytical, and documentation processes
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Professionals seeking to effectively implement and integrate AI in complex IT environments
Training Program
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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
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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
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Supporting system architecture design:
- Generating proposals for architectural patterns
- Analyzing dependencies and technical risks
- Documenting architecture and generating diagrams
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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
Contact us
we will organize training for you tailored to your needs
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