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v6.6.56

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

Build a full-stack AI-enabled store with Semantic Search, Chatbot, and RAG integration using .NET 9, Angular 20 & Azure

  1. Topics
  2. Development
  3. .NET Development

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

InstructorRahul Sahay
Duration10h 38m
Students1,514
Rating4.8 (226)

More Related Topics

  • Angular Web Development354
  • Retrieval-Augmented Generation233
  • Microsoft Azure Cloud371
  • E-commerce & Online Stores270
  • C# Programming923
  • Visual Studio IDE72
  • Entity Framework Core107
  • ASP.NET MVC27
  • Web Application Development27
  • Visual Basic .NET43
Price
$9.99
$14.99
Coupon
Verified discount
Last checked 58m ago
Access
Premium only
Upgrade to unlock this course deal

Coupon history

Comidoc has tracked 6 coupons for this course since 2025, last checked 58m ago. On average, a new coupon appears roughly every 46 days.

Coupon codeDiscountAddedStatusLifetime
7F04DCEBBE213C119D6E100% offMar 2, 202601:21 AM UTCExpired~8 daysRan full term
441F4A9D4694CA5309CC100% offJan 22, 202604:00 AM UTCExpired~4 daysRan full term
6B29041CC1F05627DE6E100% offDec 20, 202502:15 AM UTCExpired~3 daysRan full term
90E85F9CA2D80A06D26833% offDec 17, 202509:25 AM UTCExpired2d 10h
D4AB3505418DD6D186F233% offNov 5, 202504:05 PM UTCExpired4d 14h
Comidoc Analysis

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

Strengths

Advanced RAG Implementation

The curriculum moves beyond simple API wrappers to build a production-sited Retrieval-Augmented Generation pipeline, including semantic search and vector repositories.

Editorial course preview

What the public course preview actually shows

These 4 complementary views highlight concrete, legible examples from the course presentation.

Preview 1 of 4

The Docker Desktop dashboard displays the active microservices architecture, listing running containers like Ollama and PgVector alongside their assigned network ports.

Preview 2 of 4

This interface demonstrates a semantic search feature on an e-commerce platform, where a natural language query like 'give me best footballs' retrieves relevant product results.

Preview 3 of 4

The interface displays a grid of sports equipment products alongside a sidebar for filtering brands, while an interactive AI assistant chat window is open in the foreground.

Preview 4 of 4

This screenshot displays the user-facing order history interface of a custom-built e-commerce platform, demonstrating how past transactions are persisted and presented to the customer.

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Modern Full-Stack Integration

Instruction effectively bridges .NET 9 Minimal APIs with Angular 20's Signals API and zoneless change detection for responsive, AI-driven interfaces.

Limitations

Instructional Consistency

One signal suggests potential inconsistencies in microphone volume and distance across specific video segments, alongside a single report regarding instructor accent.

Best suited to

  • .NET and Angular developers
  • Full-stack engineers interested in RAG
  • Backend engineers exploring vector databases

Less suited to

  • Learners seeking purely theoretical AI instruction

Comidoc Score

7.3/10

Recommended
Defined audience

Comidoc verdict

The learning path centers on constructing a sophisticated e-commerce engine by integrating modern web frameworks with generative AI capabilities. Learners progress from setting up a local foundation using Ollama and Docker to implementing advanced features like semantic search via pgvector and voice assistant integration.

The technical depth is a decisive strength, particularly in how the course handles Retrieval-Augmented Generation (RAG) and stateful conversation memory. This approach provides a professional framework for building intelligent digital experiences rather than simple CRUD applications. Some learners noted minor audio volume inconsistencies or accent challenges; however, these signals predate the displayed update date, and while the update may have addressed them, it does not prove a correction.

This course is ideal for .NET and Angular developers looking to transition into AI-driven full-stack roles by mastering practical, production-ready integrations.

Score breakdown

Curriculum depth
7.3

The curriculum provides significant depth in vector database implementation and RAG pipeline construction.

Applied learning
8.0

The course is highly project-led, focusing on building a functional e-commerce application from the ground up.

Clarity & experience
6.5

Instruction is generally clear and professional, though some signals point to minor audio or accent-related hurdles.

Currency & reliability
7.3

The use of .NET 9 and Angular 20 ensures the tech stack is highly current.

Audience fit
7.3

Selected from the course's public promotional preview. These images document visible presentation material only; they do not represent the complete paid curriculum.

The curriculum aligns well with the requirements for .NET and Angular developers seeking AI integration skills.