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

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

Rating

4.96/5

Students

395

Duration

10.6 hours

Description

  • Dive into building a cutting-edge, AI-powered e-commerce application from scratch, seamlessly blending modern full-stack development with advanced artificial intelligence.
  • Construct a comprehensive online store where every customer interaction is enhanced by sophisticated AI, moving towards personalized and intuitive online retail experiences.
  • Implement advanced AI features such as Semantic Search, enabling users to discover products by intent and context, significantly improving beyond basic keyword matching.
  • Develop a dynamic RAG-powered Chatbot to provide real-time, contextually relevant assistance, answering complex queries and guiding customers through their shopping journey with Retrieval-Augmented Generation.
  • This project-based curriculum ensures practical skills in architecting, developing, and deploying a scalable, AI-enabled e-commerce platform using the latest industry technologies.
  • Ideal for developers keen to elevate their expertise from conventional web development to crafting intelligent, adaptive applications that deliver unparalleled user engagement.

What You'll Learn

  • Backend Development with .
  • NET 9: Master building robust RESTful APIs for e-commerce (product, authentication, orders, payments).
  • Implement modern C# features, async programming, and dependency injection.
  • Deep dive into Entity Framework Core with SQL Server or Azure Cosmos DB.
  • Secure APIs using JSON Web Tokens (JWT).
  • Host and deploy .
  • NET APIs to Azure App Service.
  • Frontend Development with Angular 20: Craft dynamic, responsive UIs using latest Angular 20 features for optimal shopping experience.
  • Apply component architecture, advanced routing, and RxJS for state management.
  • Seamlessly consume backend RESTful APIs for smooth data flow.
  • Implement robust form handling, validation, and responsive designs.
  • Deploy Angular applications to Azure Static Web Apps.
  • AI & RAG Integration for E-Commerce: Thorough understanding of Retrieval-Augmented Generation (RAG) principles and application.
  • Implement chatbot leveraging RAG with Azure AI Search (retrieval) and Azure OpenAI Service / LLMs (generation).
  • Design and integrate powerful Semantic Search for nuanced product discovery.
  • Explore vector databases and embeddings for advanced search/recommendations.
  • Utilize Azure AI services for NLP and intent understanding.
  • Cloud Deployment & Infrastructure with Azure: Master setup of Azure services: App Service, Azure SQL/Cosmos DB, Azure AI Search, Azure OpenAI Service, Static Web Apps.
  • Implement CI/CD pipelines (e.g., GitHub Actions) for automated deployments.
  • Understand monitoring, scaling, and optimization for cloud-based AI e-commerce applications.
  • Full-Stack Architecture & E-Commerce Specifics: Design scalable, maintainable, and secure full-stack architectures.
  • Deep understanding of API design principles and cross-cutting concerns (logging, security).
  • Implement core e-commerce features: product catalog, user auth,

Requirements

  • Solid understanding of HTML, CSS, and JavaScript is foundational.
  • Prior experience with C# and the .
  • NET ecosystem, including OOP, is highly beneficial for backend development.
  • Some exposure to modern JavaScript frameworks like Angular, React, or Vue will be advantageous, though Angular 20 is taught practically.
  • Basic knowledge of database fundamentals (SQL or NoSQL concepts) will aid in data management.
  • An eagerness to apply Artificial Intelligence and Machine Learning in real-world contexts is key.
  • Access to a Microsoft Azure account (free tier usually sufficient) for cloud deployments and AI services.
  • Local development environment with Visual Studio Code, .
  • NET SDK, Node.js/NPM, and Angular CLI.

Important Notes

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