AI-Powered E-Commerce App with .NET 9, Angular 20 & RAG

Source: https://www.udemy.com/course/ai-powered-e-commerce-app-with-net-9-angular-20-rag/

What you’ll learn

Build a fully functional, production-grade AI-powered e-commerce application using .NET 9 and Angular 20.
Integrate semantic search with vector embeddings using Azure OpenAI or Ollama and pgvector in PostgreSQL.
Implement a chatbot assistant that understands natural-language queries and recommends products contextually.
Design and structure a modular backend following Clean Architecture principles and repository pattern.
Build dynamic, responsive Angular components using standalone architecture and the new Signals API.
Add hybrid search functionality combining traditional catalog search with semantic intelligence.
Containerize backend, database, and frontend services using Docker Compose for easy local deployment.
Configure Ocelot API Gateway for routing, service orchestration, and environment-based configuration.
Prepare your system for Retrieval-Augmented Generation (RAG) to combine retrieval and generative reasoning.
Gain real-world experience in connecting microservices, AI models, and cloud infrastructure into one cohesive solution.

Requirements

Basic understanding of C# and the .NET ecosystem.
Familiarity with Angular, TypeScript, or any frontend framework.
Knowledge of RESTful APIs, JSON, and HTTP methods.
A working knowledge of databases such as SQL Server or PostgreSQL.
Basic Git/GitHub familiarity for project versioning.
No prior AI or OpenAI experience is required — all concepts are covered step by step.