This training gives an in-depth understanding of how modern AI solutions are designed in an enterprise context, from target architecture and integration patterns to operations, governance and further development. The focus is on creating robust, scalable and maintainable AI systems with clear component responsibilities, well-defined interfaces and well-considered architectural choices. Over two days the course covers key patterns for AI architecture, MLOps and LLMOps, integration […]
Format: Hybrid
Language: Swedish
Level: Beginner
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About the course.
This training gives an in-depth understanding of how modern AI solutions are designed in an enterprise context, from target architecture and integration patterns to operations, governance and further development. The focus is on creating robust, scalable and maintainable AI systems with clear component responsibilities, well-defined interfaces and well-considered architectural choices. Over two days the course covers key patterns for AI architecture, MLOps and LLMOps, integration […]
What you will learn
What you learn.
A two-day learning experience
Access to interactive walkthroughs and practical design exercises
The ability to design AI architecture based on established principles of modularity, loose coupling, scalability, security and maintainability
An understanding of key architectural patterns for AI systems, for example separation between the application layer, orchestration, model access, tool calls, memory, observability and policy enforcement
Knowledge of how established integration patterns and standards are used in AI solutions, including API contracts, event-driven architecture and MCP for structured communication between agents and external tools
An understanding of how MLOps and LLMOps are built in practice, from version control and testing to deployment, monitoring, evaluation and continuous improvement
The ability to identify risks and design for governance, traceability and regulatory compliance in enterprise environments
Practical tools for developing a target architecture and roadmap for introducing AI capabilities into existing system landscapes
Target audience
Who is this for?
This training is for technical leaders and architects who make decisions about and drive the implementation of AI in larger organisations.
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