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.
Download Links
Password: cms.ddpanda.org
