File Name: | Chat GPT Clone in .NET9 and Angular |
Content Source: | https://www.udemy.com/course/chat-gpt-clone-in-net9-and-angular |
Genre / Category: | Other Tutorials |
File Size : | 780.0 MB |
Publisher: | Tarun Kumar Saini |
Updated and Published: | August 17, 2025 |
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.
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