Architecting with AI
Leveraging LLMs for enhanced architecting:
Gen AI as the Architect’s Co-pilot


Why this course?
Join this hands-on workshop to learn how to work effectively with LLMs to create better architectures, more efficiently
Learning Outcomes
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Upon completion of the course, candidates will be able to:
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Identify use cases (and associated benefits) for the use of AI in architecting
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Scale architectural thinking with AI in practice
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Use AI prompts in leading tools for better & faster architectural decision-making
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Understand and mitigate risks of using AI in architecting
Content
This course establishes a solid understanding of architecture fundamentals
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Introduction
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a new phase of software architecture
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can AI architect?
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could Architects be replaced by AI?
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architecture as code
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architecting tools
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is agentic AI relevant?
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AI in Software Architecture
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Use cases
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Common Architecture Language Model (CALM)
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ADR Generator
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AI in Enterprise Architecture
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Use cases
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Enterprise Architecture as Code
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Augmented compliance and alignment assurance
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Tools & Prompts
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The Architect’s Prompt Toolkit: from theory to practice
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Risks
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Hallucinations and other risks of using AI in the architecting lifecycle
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Conclusions & Takeaways
Throughout the course, the content is supported and complemented by case studies and hands-on activities.
Target Audience
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This course is primarily aimed at people who actively architect software systems:
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Software Engineers
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Software Architects
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This course can be useful for anyone working in software design:
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Product owners
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Business Analysts
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Requirements Engineers
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Prerequisites
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Knowledge of and practical experience with architecting
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Basic knowledge of modelling, abstraction, algorithms and data structures
Cost, Schedule, and Duration
Price and Schedule
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Knowledge of and practical experience with architecting
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Basic knowledge of modelling, abstraction, algorithms and data structures
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Free taster sessions for prospective delegates are scheduled regularly
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Available now. For pricing & schedule details, please enquire below
