Chat Gpt Clone In .Net9 And Angular

You can make your own GPT in ASP.NET 9 WEB API and Angular Front -End

What you'll learn

Chat GPT Clone in .NET9 and Angular . You will learn why Angular is the front-end framework of choice for building dynamic and interactive user interfaces.

and how its component-driven architecture ensures scalability and maintainability. Moving to the backend, you will explore the cutting-edge capabilities of .NET

which brings performance enhancements, streamlined APIs, and improved developer productivity to the table. Finally, we integrate SignalR, Microsoft’s real-time

One of the highlights of this course is the seamless integration of OpenAI’s GPT models into our application.

You will learn how to consume GPT APIs securely and efficiently, send user messages to the model, and stream AI-generated responses back to the user in real tim

By combining SignalR with GPT, we achieve a truly interactive experience where messages appear instantly as they are generated, replicating the feel of live hum

Requirements

Basic knowledge of ASP.NET WEB API And Angular

Description

In today’s technology-driven era, real-time communication and artificial intelligence are two of the most transformative forces shaping the way we build modern applications. This comprehensive course is designed to take you step-by-step through the process of creating a fully functional GPT-powered Chat Application using Angular, .NET 9, and SignalR. By the end of this course, you will have the skills, confidence, and deep understanding required to design, develop, and deploy advanced real-time AI-powered applications from scratch.We start our journey by laying a strong foundation, introducing the core technologies that power this project. You will learn why Angular is the front-end framework of choice for building dynamic and interactive user interfaces, and how its component-driven architecture ensures scalability and maintainability. Moving to the backend, you will explore the cutting-edge capabilities of .NET 9, which brings performance enhancements, streamlined APIs, and improved developer productivity to the table. Finally, we integrate SignalR, Microsoft’s real-time communication library, to enable instant, bi-directional data transfer between the server and connected clients without the need for constant page refreshes.One of the highlights of this course is the seamless integration of OpenAI’s GPT models into our application. You will learn how to consume GPT APIs securely and efficiently, send user messages to the model, and stream AI-generated responses back to the user in real time. By combining SignalR with GPT, we achieve a truly interactive experience where messages appear instantly as they are generated, replicating the feel of live human conversation.We will start by setting up the development environment for both front-end and back-end. This includes installing Angular CLI, configuring TypeScript, initializing an Angular workspace, and structuring our project with services, components, and models. On the backend, you will create a new .NET 9 Web API project, configure dependency injection, and set up controllers, hubs, and services required for the SignalR connection and GPT API calls. We will also cover environment-specific configurations, such as securely storing API keys and managing secrets to keep your GPT integration safe and compliant.The course is designed for a wide range of learners — whether you are an absolute beginner in full-stack development or an experienced programmer looking to add AI-powered features to your skillset, you will find the content engaging and practical. Every coding concept is explained in detail, supported by diagrams, real-world analogies, and debugging tips to ensure you never feel lost.As we progress, we will cover advanced topics such as streaming GPT responses using SignalR, handling concurrency, managing user sessions, and storing chat history in a database for future retrieval. You will learn to create an efficient data model for storing conversations and implement RESTful endpoints that allow retrieval, filtering, and search functionality. On the front-end, we will explore Angular animations and UX improvements to make the chat interface user-friendly and visually appealing.Error handling and resilience are critical for production-ready systems, and we will dedicate an entire module to them. You will learn how to gracefully handle API errors, retry failed GPT requests, and display appropriate feedback to the user without breaking the chat flow. In addition, we will cover Polly-based retry patterns in the .NET backend for robust API communication.Security is another vital aspect of this course. We will discuss implementing authentication and authorization for your SignalR hub to ensure that only authenticated users can connect and exchange messages. You will also learn how to use JWT tokens for secure user sessions and prevent unauthorized GPT API calls.This course is not just about building a chat application; it’s about building a real-world, enterprise-grade solution. That means we will also look into deployment strategies, including hosting your backend on Azure App Service or AWS, deploying the Angular front-end on a cloud platform like Netlify or Vercel, and configuring CI/CD pipelines to automate builds and deployments. By the time you complete these modules, you will be fully capable of taking your own AI-powered applications from concept to production.Throughout the course, you will also gain valuable best practices in both Angular and .NET development. In Angular, you will learn about state management, RxJS observables for handling async events, and modular project architecture. In .NET 9, you will learn about minimal APIs, endpoint routing, dependency injection, and performance optimizations that take advantage of the latest .NET runtime improvements.One of the most exciting modules focuses on real-time AI-enhanced collaboration features. Imagine multiple users in different locations interacting with the same GPT model in a shared conversation space — you will learn how to synchronize chat states across clients so that everyone sees the same conversation updates instantly. This involves mastering SignalR groups, managing user connections, and broadcasting messages to specific audiences.By the end of this course, you will have:A fully functional GPT-powered real-time chat application built with Angular, .NET 9, and SignalR.A deep understanding of how to integrate AI into real-time applications.Hands-on experience in managing both front-end and back-end components of a modern web application.Knowledge of best practices in architecture, security, and deployment.The confidence to extend and customize the application to suit different use cases such as customer support bots, AI-assisted writing tools, collaborative learning platforms, and more.This is not a quick "copy-paste" tutorial. Every line of code is written from scratch with full explanations, so you truly understand why something is done, not just how to do it. You will see the thought process behind structuring services, handling API calls, and optimizing communication between front-end and back-end.Whether your goal is to build an AI-powered startup product, add a powerful skill to your resume, or simply explore the intersection of AI and real-time web technologies, this course will give you the tools and knowledge you need. By completing this project, you will be ahead of the curve in one of the most in-demand areas of software development today.Join us on this exciting journey and unlock the full potential of AI-powered real-time applications. Let’s combine the magic of GPT with the speed of SignalR and the power of modern frameworks like Angular and .NET 9 to create something truly revolutionary.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Create a New API Project and Angular Project in Visual Studio 2022

Section 2: Connected with Real time communication

Lecture 3 Real time configuration Part-1

Lecture 4 Real Time Configuration Part-2

Lecture 5 Controller Query Part

Section 3: Client Project

Lecture 6 Client Application Part-1

Lecture 7 Client Application Part-2

Lecture 8 Client Application Part-3

Lecture 9 Client Application Part-4

Section 4: Source Code

Lecture 10 Download Complete Source Code

beginner of ASP.NET WEB API AND ANGULAR