.Net Aspire And Genai Develop Distributed Architectures
Date: 25 February 2025 | Posted by: 0nelove
.Net Aspire And Genai Develop Distributed Architectures
Published 2/2025
Created by Mehmet Ozkaya
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 88 Lectures ( 5h 39m ) | Size: 2.74 GB
Develop AI-Powered Distributed Architecture w/ PostgreSQL, Redis, RabbitMQ, Keycloak, Ollama, VectorDB using .NET Aspire
What you'll learn
Develop AI-Powered Distributed Architectures using .NET Aspire and GenAI
Cloud-Native Distributed Architectures
.NET Aspire Framework for Cloud-Native Distributed App Development
Building EShop Distributed Microservices Architecture with .NET Aspire
Messaging and Event-Driven Patterns with RabbitMQ
Develop Catalog Microservice with PostgreSQL orchestrate in .NET Aspire
Develop Basket Microservice with Redis orchestrate in .NET Aspire
Sync Communications between Catalog-Basket w/ .NET Aspire Service Discovery
Async Communications w/ RabbitMQ & MassTransit orchestrate .NET Aspire
Secure Basket with Keycloak Authentication orchestrate .NET Aspire
Develop Client Blazor Web Application
Azure Container Apps
Deploy EShop Aspire project to Azure Container Apps
.NET GenAI with Microsoft Extensions AI and Semantic Kernel
Requirements
Basics of C# and Programming
Description
In this course, we are designing and implementing cloud-native distributed architectures using the .NET Aspire framework, while integrating Generative AI capabilities (GenAI) through Microsoft-Extensions-AI and Semantic Kernel.From microservices fundamentals to advanced AI-driven features, you'll gain hands-on experience architecting an E-Shop system where Catalog and Basket microservices work in tandem using PostgreSQL, Redis, and RabbitMQ for messaging. You'll also discover how to incorporate intelligent features such as Q&A chatbots and semantic product search, powered by Ollama's Llama/Phi models and RAG (Retrieval-Augmented Generation) flows.Throughout the course, you'll learn:Cloud-Native Distributed Architecture EssentialsDive into microservices architecture, containerization, and the Twelve-Factor App methodology.Learn best practices for resiliency, scalability, and DevOps workflows..NET Aspire Framework for Cloud-Native DevelopmentUnderstand how .NET Aspire simplifies building distributed services.Set up new projects, manage configurations, and apply cross-cutting concerns like logging and observability.Catalog Microservice with PostgreSQL and RabbitMQ:Store and manage product data in PostgreSQL.Publish integration events (e.g., ProductPriceChanged) to RabbitMQ.Basket Microservice with Redis:Maintain fast, session-based data using Redis.Syncs with the Catalog service when adding items to the basket.Consume integration events from RabbitMQ to keep basket prices in sync.Secure basket endpoints with Keycloak using JWT Bearer token.Messaging and Event-Driven Patterns with RabbitMQExplore publish/subscribe patterns, exchanges, routing keys, and best practices for handling retries.Implement robust error handling and ensure reliable event-driven communication across microservices.Deployment, Security, and ObservabilityContainerize microservices and deploy them to Azure Container Apps using the azd up and azd down commands.Follow .NET Aspire's project structure for streamlined CI/CD workflows.Introduction to .NET GenAI with Semantic KernelDiscover the foundations of Generative AI and large language models (LLMs).Integrate Microsoft-Extensions-AI and Semantic Kernel to power advanced AI functionalities.Ollama, Llama, and Phi Models SetupInstall and configure Ollama locally or via containers.Run Llama or Phi models for inference directly within your .NET microservices.GenAI Use Cases in E-ShopCustomer Support Q&A Chatbot:Leverage semantic kernel and prompt engineering for context-aware Q&A.Integrate Ollama to deliver real-time responses to users' questions.Product Semantic Search with Vector Store (RAG Flow):Generate embeddings for product data using Ollama's All-MiniLM model.Use a vector database to retrieve, rank, and deliver personalized product recommendations.By the end of this course, you'll have built a fully functional, AI-powered E-Shop platform that demonstrates the power of event-driven microservices coupled with .NET Aspire and GenAI
Who this course is for
All Levels of .NET Developers who is curious about .NET Aspire and GenAI
Homepage
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