AI-Powered E-Commerce App with .NET 9, Angular 20 & RAG
Course Overview
What You'll Learn
- Design a modular backend using Clean Architecture principles and the repository pattern.
- Implement semantic search by generating and storing embeddings using Azure OpenAI or Ollama, backed by PostgreSQL + pgvector.
- Create an AI chatbot assistant capable of natural language understanding and contextual product recommendations.
- Integrate multiple search modes — Catalog, Semantic, and Hybrid — that deliver smart, intent-based results.
- Develop a dynamic Angular 20 frontend using standalone components and Signals API for responsive data binding.
- Add a complete basket and checkout flow with persistent data management.
- Configure Ocelot API Gateway for service routing and Docker Compose for containerized deployment.
About This Free Course
Disclaimer:- This course requires you to download "Docker Desktop" from Docker website. If you are a Udemy Business user, please check with your employer before downloading software.
Welcome to “AI-Powered E-Commerce App with .NET 9, Angular 20 & RAG”
Have you ever imagined transforming a standard e-commerce store into an intelligent, AI-enabled platform that understands your users’ intent?
In this course, you’ll learn to build a modern, semantic search and chatbot-powered online store that’s ready for Retrieval-Augmented Generation (RAG) — using .NET 9, Angular 20, Azure OpenAI, and PostgreSQL (pgvector).
In this hands-on course, you’ll go far beyond theory. You’ll build, run, and integrate AI capabilities step by step — from foundational architecture to advanced generative intelligence — all within a clean, scalable, production-ready system.
Course Phases
Phase 1 – Building the AI-Enabled Foundation (Completed)
In this phase, you’ll develop a fully functional, AI-ready e-commerce system powered by .NET 9 and Angular 20.
This is not a toy project — you’ll build real, production-grade components and integrate intelligent features end to end.
You will:
Design a modular backend using Clean Architecture principles and the repository pattern.
Implement semantic search by generating and storing embeddings using Azure OpenAI or Ollama, backed by PostgreSQL + pgvector.
Create an AI chatbot assistant capable of natural language understanding and contextual product recommendations.
Integrate multiple search modes — Catalog, Semantic, and Hybrid — that deliver smart, intent-based results.
Develop a dynamic Angular 20 frontend using standalone components and Signals API for responsive data binding.
Add a complete basket and checkout flow with persistent learn excel data management and analysis for basic to expert level.
Configure Ocelot API Gateway for service routing and Docker Compose for containerized deployment.
By the end of Phase 1, you will have a fully operational AI-driven store capable of handling real-time chat queries, intelligent product discovery, and hybrid semantic search — ready for the next phase of true RAG integration.
Phase 2 – Advancing to RAG-Powered Intelligence (Coming Soon)
In Phase 2, you’ll take your AI assistant to the next level by introducing Retrieval-Augmented Generation (RAG), Voice Assistant Integration, and Web Search Augmentation.
You will:
Implement a RAG pipeline that combines vector search, document retrieval, and generative AI for context-aware answers.
Add voice input and output, enabling users to interact naturally through speech.
Integrate context memory, allowing the assistant to maintain awareness across multiple turns in the conversation.
By the end of Phase 2, your application will evolve into a fully RAG-powered conversational shopping assistant that can reason, retrieve, and respond like a true AI companion.
Tech Stack
Backend: .NET 9, ASP.NET Core Minimal APIs, C#
Frontend: Angular 20 with Standalone Components & Signals API
AI Integration: Azure OpenAI, Ollama, pgvector (PostgreSQL)
Gateway: Ocelot API Gateway
Containerization: Docker & Docker Compose
Hosting: Local or Cloud-based deployment (Azure-ready)
Who Is This Course For
Developers who want to integrate AI capabilities into real-world applications.
.NET and Angular engineers looking to master semantic search and RAG-based intelligence.
Architects designing next-generation, AI-enabled microservices and e-commerce platforms.
Learners eager to gain hands-on experience in building full-stack, AI-powered systems.
Course Stats
10+ hours of in-depth, project-based learning (Phase 1).
95+ practical coding sessions, all demonstrated step-by-step.
Lifetime access, free updates, and new features with every phase.
Real-world architecture you can extend, deploy, and showcase.
Why This Course
This isn’t a basic chatbot tutorial. By the end of this course, you’ll have:
Built a production-grade AI e-commerce system powered by .NET 9 and Angular 20.
Implemented semantic search, vector-based intelligence, and chatbot interaction.
Deployed a containerized AI stack ready for RAG, voice, and web-integrated intelligence.
Gained the expertise to design and scale AI-first enterprise applications.
Your journey to building an AI-Powered E-Commerce Platform starts here.Enroll today and learn to combine software engineering, AI integration, and full-learn full stack development for beginner react next js node js — all in one real-world project.
Happy Learning
Who Should Take This Course
"AI-Powered E-Commerce App with .NET 9, Angular 20 & RAG" is aimed at people who want a practical, structured introduction to development without paying full price for it. It's a solid fit if you're starting out in development and want a guided course rather than piecing tutorials together yourself, if you've tried free YouTube content on the topic and want something more organized in around 2, or if you already work in a related area and want a refresher you can finish at your own pace. Since enrollment happens on Udemy itself, you keep full access to view the lectures, download any provided resources, and revisit the material later — this isn't a stripped-down or time-limited version of the course.
Why This Course Is Worth Taking
Our take: this listing earns a spot on FreeWebCart because the coupon we verified actually brings the price to $0, not just a token discount, and the course carries a 4.957143/5 rating on Udemy from 70+ students who've already enrolled. That combination — real reviews plus a working 100% OFF code — is what we look for before publishing a development course. It won't replace hands-on experience or a full degree program, but as a low-risk way to test whether development is worth pursuing further, or to pick up one specific skill, the free price tag makes it an easy yes while the coupon lasts.
Pros & Cons
👍 Pros
- 100% free to enroll via this coupon (normally $19.99)
- Lifetime access on Udemy once enrolled, even after the coupon expires
- Rated 4.957143/5 by past students on Udemy
- Self-paced — no fixed schedule or live sessions to attend
👎 Cons
- Coupon is time-limited and can expire before you enroll
- No live instructor support — questions go through Udemy's Q&A, not us
- Certificate is a Udemy completion certificate, not an accredited qualification
Frequently Asked Questions
Is "AI-Powered E-Commerce App with .NET 9, Angular 20 & RAG" really free?
Yes — we verified a 100% OFF Udemy coupon for this development course before publishing it. Enroll directly on Udemy using the button below; no credit card is needed while the coupon is active.
How long will this coupon last?
Udemy coupons typically last 1–3 days or expire after roughly 1,000 enrollments, whichever comes first. If the price on Udemy no longer shows $0 when you click through, the coupon has expired since we last checked it.
Do I keep access after the coupon expires?
Yes. Once you enroll while the coupon is live, "AI-Powered E-Commerce App with .NET 9, Angular 20 & RAG" is yours to keep on Udemy — including any future updates the instructor makes — even after the coupon runs out.
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