"Designing AI Architectures with Domain-Driven Design" presents a use case-centric approach to building AI systems that deliver business value. By applying DDD principles, architects can create modular, scalable, and maintainable AI architectures. The talk covers key concepts like bounded contexts, microservices, and tactical patterns, and demonstrates how techniques such as SFT, RAG, and AI Agents can be leveraged within a DDD framework. Real-world case studies and future trends are discussed, emphasizing the importance of collaboration and a focus on business objectives.

Github: https://github.com/ShawnKyzer/ai-ddd-workshop