Build a full-stack AI-enabled store with Semantic Search, Chatbot, and RAG integration using .NET 9, Angular 20 & Azure
β±οΈ Length: 10.6 total hours
β 4.96/5 rating
π₯ 395 students
π December 2025 update
Add-On Information:
Get Instant Notification of New Courses on our Telegram channel.
Noteβ Make sure your ππππ¦π² cart has only this course you're going to enroll it now, Remove all other courses from the ππππ¦π² cart before Enrolling!
-
Course Overview
- 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.
-
Requirements / Prerequisites
- 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.
-
Skills Covered / Tools Used
- 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, shopping carts, checkout, order tracking.
- Backend Development with .NET 9:
-
Benefits / Outcomes
- Gain invaluable, hands-on experience building a complex, real-world AI-powered e-commerce application, a cornerstone for your portfolio.
- Become proficient in the latest and most in-demand technologies: .NET 9, Angular 20, RAG, and Azure’s AI/cloud services, boosting market competitiveness.
- Construct a robust portfolio project demonstrating full-stack development combined with cutting-edge AI integration.
- Develop expertise to design and deploy intelligent features within any web application, moving beyond basic CRUD.
- Understand modern cloud deployment strategies for scalable, reliable, and performant production environments.
- Cultivate the ability to develop sophisticated e-commerce solutions with personalized user interactions and efficient product discovery.
- Sharpen problem-solving skills by integrating diverse technologies and AI models into cohesive business applications.
-
PROS
- Highly Relevant & In-Demand Skills: Covers AI, full-stack development, and cloud computing.
- Hands-on Project-Based Learning: Practical experience building a complete, real-world application.
- Cutting-Edge Technologies: Utilizes the latest .NET 9, Angular 20, and modern Azure AI services.
- Practical AI Application: Focuses on tangible application of RAG and AI in a business context.
- Comprehensive Skill Set: Holistic learning across frontend, backend, AI, and cloud deployment.
- Strong Portfolio Asset: The completed AI-powered e-commerce app enhances career advancement.
-
CONS
- Rapid evolution of AI and web technologies necessitates continuous learning beyond the course to stay perpetually current.
Learning Tracks: English,Development,Data Science
Found It Free? Share It Fast!