Explanation
ChatGPT Software Expertise: Build, Deploy and Sell ChatGPT Apps Are you interested in the power of artificial intelligence? Want to learn how to build and deploy chat applications using the OpenAI API and Python? If so, the ChatGPT Mastery course is for you! In this comprehensive course, you will be introduced to the OpenAI API and learn how to work with it. We will explore the different types available and understand the different parameters such as temperature used in chatGPT. You will get an understanding of the functionality of chatGPT and how it works. Once you’ve laid the basics, we’ll then move on to building our GPT3 chat application. We will explore the design front and back to make sure we can make an app that looks as close to a real GPT3 conversation as possible. You’ll learn how to build your own ChatGPT clone back-end with Python and Flask, as well as create a back-end using HTML. You will also learn how to manage your own ChatGPT clone and add JS logic to make it interactive and functional. In addition, you will learn how to design a ChatGPT clone using CSS to make it look attractive and user-friendly. By the end of this section, you will have a fully functional ChatGPT clone that can communicate with users and provide intelligent responses.
The next phase of the course focuses on building and deploying the app by optimizing the code using the chatGPT API and Database to deploy the app. We’ll cover how to add payments to your app using the Stripe API and integrate it into your Code Fixing app. The fourth part of the project involves creating a Code Bug Fixer application that includes the Code Fixer ChatGPT API, a back-end HTML, and user-friendly configuration. The Code Bug Fixer application will help users to fix their code by allowing them to chat with a GPT-powered chatbot that can provide code suggestions and bug fixes. To create the application, the team will need to build the Code Fixer ChatGPT API, which will be responsible for managing the chatbot interaction. The HTML back-end will be created to provide users with an intuitive interface to access the chatbot functionality. In addition, the team will need to add a user-friendly design to the application, which will help make it more attractive and easy to use. This can include choosing color schemes, creating layouts, and choosing fonts. Finally, the team will need to deploy the Application Bug Fixer to the Data Cloud service, which will allow users to access the application online. Once deployed, the team can start testing the application and make any necessary changes to improve its functionality and user experience.
What will you learn?
- How to use the OpenAI API to interact with the ChatGPT model.
- How to register API token and start using OpenAI API.
- How to add OpenAI API and other Python or Java libraries to add additional functionality.
- How to build an end-to-end ChatGPT clone.
- How to use Flask and OpenAI to build a code-fixing tool and deploy it to your website.
- How to use the Stripe Payment Service API to build an online store and charge users of your app.
- How to add Stripe to your code optimization tool and charge users after a certain number of uses.
- How to build MacOS and Windows applications using JavaScript and Python UI libraries such as Tkinter and PyQt.
- How to create a Microsoft Word document using ChatGPT.
- How to create articles and content using ChatGPT.
- How to build an Outlook AI email reply tool using ChatGPT.
- How to build artificially generated apps using ChatGPT.
- How to deploy your ChatGPT-based applications on the web.
- How to monetize your ChatGPT based applications and start selling to customers.
- How to become a ChatGPT developer and sought-after consultant across industries.
Who is this course for?
- Software developers and engineers who want to expand their skills and learn how to incorporate AI into their projects.
- Entrepreneurs looking to create new applications and services using the latest AI technology.
- Students and scholars who want to gain a practical understanding of AI and its applications.
- Anyone interested in the intersection of AI and natural language processing (NLP) and how it can be used to create intelligent chatbots and other applications.
- Individuals who want to develop new skills that are in high demand in the technology industry and stay ahead of the curve.
- Professionals who want to add AI development and deployment to their skills or work as a consultant.
- Anyone looking to leverage their AI development skills by creating and selling ChatGPT-based applications.
Exclusive Guide to ChatGPT Software Art: Build, Deploy & Sell ChatGPT Apps
- Publisher: Udemy
- Teacher: Martin Yanev
- Language : English
- Level : All Levels
- Number of courses: 62
- Duration : 7 hours and 4 minutes
Includes 2023-3
Requirements
- A computer with internet access is necessary for OpenAI and Stripe API registration.
- Willingness to learn and experiment with new technologies and tools.
Pictures
Sample Clip
Installation Guide
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Quality: 720p
Download Links
Password file: free download software
file size
4.45 GB