Building Distributed AI Architectures with .NET Aspire

Modern software engineering demands systems that are not only distributed and scalable but also intelligent. Building and orchestrating these cloud-native microservices alongside generative AI capabilities can feel overwhelming without the right framework. This course guides you through the process of architecting a robust, event-driven distributed system integrated with local AI models. You will understand how to orchestrate database, messaging, security, and generative AI components seamlessly using .NET Aspire, transforming how you approach modern backend design. What you'll learn: - Understand the fundamentals of cloud-native microservices and .NET Aspire orchestration. - Configure PostgreSQL and Redis for reliable data storage and high-speed caching. - Implement event-driven communication using RabbitMQ publish-subscribe patterns. - Integrate local AI models using Ollama and implement Retrieval-Augmented Generation (RAG) with vector databases. - Secure microservice endpoints using Keycloak and token-based authentication. - Apply modern observability practices using OpenTelemetry to monitor distributed transactions. The journey begins with foundational distributed system concepts and .NET Aspire basics before transitioning to the step-by-step construction of microservices, integration of message brokers, and embedding intelligent search features. You will read structured explanations, analyze architecture patterns, and study clean code implementations. This course is designed for backend developers and aspiring software architects who want to transition into cloud-native and AI-driven development. No prior experience with microservices orchestration or AI integration is required. Start building modern, intelligent distributed systems today.