Build a full-stack AI-enabled store with Semantic Search, Chatbot, and RAG integration using .NET 9, Angular 20 & Azure
InstructorRahul SahayComidoc has tracked 7 coupons for this course since 2025, last checked 13d ago. On average, a new coupon appears roughly every 42 days.
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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
These 4 complementary views highlight concrete, legible examples from the course presentation.
The Docker Desktop dashboard displays the active microservices architecture, listing running containers like Ollama and PgVector alongside their assigned network ports.
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.
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.
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.
Instruction effectively bridges .NET 9 Minimal APIs with Angular 20's Signals API and zoneless change detection for responsive, AI-driven interfaces.
One signal suggests potential inconsistencies in microphone volume and distance across specific video segments, alongside a single report regarding instructor accent.
The curriculum aligns well with the requirements for .NET and Angular developers seeking AI integration skills.