.NET Aspire and GenAI Develop Distributed Architectures 2025

🚀 Course Title: Develop AI-Powered Distributed Architecture with .NET Aspire 🌟

🎉 Headline: Unleash Next-Level Cloud Engineering & AI Integration with .NET 🔧✨

Welcome to the Future of Cloud Computing and AI! In this comprehensive course, we're diving deep into the world of cloud-native distributed architectures using the cutting-edge .NET Aspire framework. As we journey together, you'll be integrating the transformative power of Generative AI (GenAI) with technologies like PostgreSQL, Redis, RabbitMQ, Keycloak, Ollama, and VectorDB.

What You'll Learn:

🏗️ Cloud-Native Distributed Architecture Essentials:

• Master the fundamentals of microservices architecture, containerization, and adhere to the Twelve-Factor App methodology.
• Grasp best practices for resiliency, scalability, and DevOps workflows.

📞 .NET Aspire Framework for Cloud-Native Development:

• Discover how .NET Aspire simplifies building distributed services with hands-on projects, configurations, and cross-cutting concerns like logging and observability.

Core Microservices Breakdown:

• Catalog Microservice with PostgreSQL and RabbitMQ: Store, manage, and sync product data seamlessly across your platform using PostgreSQL, while RabbitMQ facilitates event communication.
• Basket Microservice with Redis: Implement fast, session-based data management and synchronize basket prices in real-time, integrating with the Catalog service and securing endpoints.

🔄 Messaging and Event-Driven Patterns with RabbitMQ:

• Explore publish/subscribe patterns, exchanges, routing keys, and ensure reliable event-driven communication across microservices with robust error handling.

🌐 Deployment, Security, and Observability:

• Containerize your microservices and deploy them to Azure Container Apps easily with azd commands.
• Learn the .NET Aspire project structure for streamlined CI/CD workflows.

🚀 Introduction to .NET GenAI with Semantic Kernel:

• Dive into Generative AI, large language models (LLMs), and understand how Microsoft-Extensions-AI and Semantic Kernel can be used to power advanced AI functionalities.

🤖 Ollama, Llama, and Phi Models Setup:

• Install, configure Ollama locally or via containers for real-time AI inference within your .NET microservices.

🛍️ GenAI Use Cases in E-Shop:

• Create a Customer Support Q&A Chatbot leveraging semantic kernels and prompt engineering.
• Implement a Product Semantic Search with Vector Store (RAG Flow), generating embeddings for product data and delivering personalized recommendations.

By course completion, you'll have built a functional E-Shop platform powered by .NET Aspire and GenAI, showing the synergy of microservices and AI to enhance user experience and streamline operations.

Join us on this journey to become a master in creating robust, scalable distributed systems with the added intelligence of Generative AI. 🗝️👨‍💻👩‍💻

Don't miss out on this opportunity to future-proof your software engineering skills! Enroll now and transform your approach to building enterprise-level applications. 🚀✨