The AI Chatbot Handbook – How to Build an AI Chatbot with Redis, Python, and GPT

In order to build a working full-stack application, there are so many moving parts to think about. And you'll need to make many decisions that will be critical to the success of your app. For example, what language will you use and what platform will you deploy on? Are you going to deploy a containerised software on a server, or make use of serverless functions to handle the backend? Do you plan to use third-party APIs to handle complex parts of your application, like authentication or payments? Where do you store the data? In addition to all this, you'll also need to think about the user interface, design and usability of your application, and much more. This is why complex large applications require a multifunctional development team collaborating to build the app. One of the best ways to learn how to develop full stack applications is to build projects that cover the end-to-end development process. You'll go through designing the architecture, developing the API services, developing the user interface, and finally deploying your application. So this tutorial will take you through the process of building an AI chatbot to help you learn these concepts in depth. Important Note: This is an intermediate full stack software development project that requires some basic Python and JavaScript knowledge. I've carefully divided the project into sections to ensure that you can easily select the phase that is important to you in case you do not wish to code the full application.