Chatgpt Mastery Build, Deploy And Sell Chatgpt Applications

Published 2/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 4.51 GB | Duration: 7h 4m

Create and Sell eye catching AI Desktop and SaaS Applications with OpenAI API and Python.

What you'll learn

How to use the OpenAI API to interact with the ChatGPT model.

How to register for an API token and start using the OpenAI API.

How to integrate the OpenAI API with 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 own website.

How to use the Stripe payment service API to build an online store and charge users for your app.

How to integrate Stripe with your code-fixing tool and charge users after a certain number of usages.

How to build MacOS and Windows applications using javascript and Python UI libraries like Tkinter and PyQt.

How to build a Microsoft Word text summarizer using ChatGPT.

How to build an article and essay generator 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 them to customers.

How to become a sought-after ChatGPT developer and consultant in various industries.

Requirements

A computer with internet access is necessary to register for OpenAI and Stripe API.

A willingness to learn and expent with new technologies and tools.

Description

Introduction to the CourseAre you fascinated by the potential of artificial intelligence? Do you want to learn how to build and deploy chat applications using the OpenAI API and Python? If so, the ChatGPT Mastery course is perfect 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 models available and understand the various parameters such as temperature that are used in chatGPT. You will gain an understanding of the chatGPT functionality and how it works.ChatGPT Clone Web ApplicationOnce you have the foundation in place, we will then move on to building our own GPT3 chat application. We will explore the frontend and backend design to ensure that we can create an app that looks as close to the real GPT3 chat as possible. You will learn how to build the back end of your ChatGPT clone with python and Flask, as well as create a front-end using HTML. You will also learn how to run your ChatGPT clone and add JS logic to make it more interactive and functional. Additionally, you will learn how to design your ChatGPT clone using CSS to make it look visually appealing 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.Build and Deploy Code Fixing AppThe next stage of the course is focused on building and deploying a code-fixing app using chatGPT API and Deta to deploy the app. We will cover how to add payment to your app using Stripe API and integrate it into the Code Fixing app.The fourth section of the project involves creating a Code Bug Fixer application that includes a Code Fixer ChatGPT API, a HTML front-end, and user-friendly styling. The Code Bug Fixer application will help users 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 handling the chatbot interactions. The HTML front-end will be created to provide users with an intuitive interface for accessing the chatbot functionality.In addition, the team will need to add user-friendly styling to the application, which will help make it more appealing and easier to use. This may include choosing color schemes, creating layouts, and selecting fonts.Finally, the team will need to deploy the Code Bug Fixer application with the Deta Cloud service, which will allow users to access the application over the internet. Once deployed, the team can b testing the application and making any necessary adjustments to improve its functionality and user experience.Add Payments to you App using Stripe APIYou will learn how to set up Stripe Payment API and account for your e-commerce website. Stripe is a popular payment gateway that enables online businesses to accept payments securely and quickly. You will create a payment application that will allow you to accept payments on your website.You will start by signing up for a Stripe account and configuring the necessary settings. Once you have set up the account, you will create an application that will integrate with Stripe. You will learn how to add orders to your Stripe application and build an index page to access the Stripe API.After setting up the Stripe application, you will create purchase pages and test your Stripe app. You will learn how to handle successful and failed payments, and how to manage refunds and disputes. By the end of this section, you will have a fully functional payment gateway integrated into your e-commerce website.Integrate Stripe and the Code Fixing AppThe final Code Fixing App project involves designing the payment system for the code bug fixer service. This includes setting up a SQL user database to keep track of user accounts and payments, as well as creating a usage counter to track how many fixes each user has used. Additionally, the section will involve setting up Stripe payment plans and creating a charge page to allow users to pay for the service. The focus will also be on identifying and fixing any bugs or errors in the payment system code to ensure that it functions smoothly and efficiently. By the end of this section, the payment system for the code bug fixer service should be fully operational and ready for use by customers.Build Text Summarization App for Mac and WindowsThe sixth section of the project aims to build three different applications that use natural language processing techniques to automate various tasks. The first application will be a text summarization app for Microsoft Word that can be used to generate concise summaries of lengthy documents. The app will use algorithms to identify the most important sentences and phrases in a document and condense them into a shorter summary.The second application will be a user interface (UI) for the summarization app that uses the TKInter toolkit. The UI will provide a user-friendly interface for users to input their text and receive a summarized version of the document in real-. The UI will also have several customization options to allow users to choose the length and style of the summary.Create Email AI Reply App for OutlookThe third application will be an Outlook email reply generator that uses the ChatGPT natural language processing ee to generate AI-generated reply emails. The system will analyze incoming emails and generate personalized responses based on the context of the email, the sender's tone, and the user's preferences. The reply emails will be generated in real- and will be customized to match the user's style and tone.This is an email suggesting app, which is local to the Windows and works with Outlook or the email app of Windows. The app reads an email and generates a reply, providing a powerful tool for managing your inbox.Let ChatGPT Build the Applications for YouIn addition, the course will teach you how to use TkInter and PYQT to build a chatGPT desktop app, which can be used to create your own app. The final section of the course focused on practical application of the concepts covered throughout the course. Students were introduced to two different tools for building applications quickly and efficiently: ChatGPT and PyQT.The first project involved building an HTML web article summarization app using ChatGPT, a powerful natural language processing tool that can be used to generate text summaries. Students were guided through the process of building a basic HTML interface for the app, integrating ChatGPT to generate the summaries, and deploying the app on a web server.The second project focused on building an article building app with PyQT and python-docx. Students learned how to use PyQT, a popular Python GUI library, to build a simple interface for the app, and how to use python-docx to read in text files and generate professional-looking article layouts with images, tables, and other formatting options.By the end of this course, you will have a strong understanding of chatGPT and the ability to build and deploy chat applications with confidence.The ChatGPT Mastery course is designed for anyone who wants to develop their skills in AI, OpenAI API, and Python, and create chat applications that can be sold commercially. Whether you are a developer, entrepreneur, or just a curious learner, this course is perfect for you. With life access to the course materials, you can learn at your own pace, and revisit the content as many s as you need to.

Overview

Section 1: Introduction

Lecture 1 Video Lessons

Lecture 2 Source Code

Lecture 3 Important Course Notes

Lecture 4 Install Python and PyCharm

Section 2: Understand and Set-Up ChatGPT API

Lecture 5 Set Up Your OpenAI Account

Lecture 6 Generate an API Token and Model Parameters

Lecture 7 How to Use OpenAI ChatGPT API Using Python

Lecture 8 BONUS: Python Flask Basics Project

Section 3: Build a ChatGPT Clone using OpenAI API

Lecture 9 Building ChatGPT Clone Back-End

Lecture 10 Front-End with HTML and Run ChatGPT Clone

Lecture 11 Add a JS Logic to Your ChatGPT

Lecture 12 Design the ChatGPT Clone Using CSS

Section 4: Create a Professional Code Bug Fixing Application

Lecture 13 Create Code Bug Fixier Project with Flask and Python

Lecture 14 Build the Code Bug Fixer ChatGPT API

Lecture 15 Code Bug Fixer App HTML Front End Development

Lecture 16 Add User Friendly Style for Code Bug Fixer with CSS

Lecture 17 Deploy Code Fixer App Application on Deta Cloud and Display it on Your Website

Section 5: Using Stripe for Application API Payments

Lecture 18 Set-Up Stripe Payment API and Account

Lecture 19 Create a Payment Application using Stripe API

Lecture 20 Add Orders to Your Stripe Application

Lecture 21 Build Index Page to Access Stripe API

Lecture 22 Create Purchase Pages and Test Your App

Section 6: Add Payments to Your App:Integrate the Code Fixing Application with Stripe

Lecture 23 Code Bug Fixer Payment System Design

Lecture 24 Set SQL User Database

Lecture 25 Create a Usage Counter and Fetch Database

Lecture 26 Create Stripe Payment Plans to Your Code Fixing App

Lecture 27 Set Up User Charge Page

Section 7: Use ChatGPT to Control and Build Desktop Applications

Lecture 28 Build Text Summarization App for Microsoft Word

Lecture 29 Create Summarization App UI with Python TKInter Toolkit

Lecture 30 Build Outlook Email Reply Generator with ChatGPT

Lecture 31 Create Artificial Intelligence (AI) Generated Reply Emails

Section 8: Create a Word Text Summarization Application from Scratch

Lecture 32 Build and Essay Generation Tool with ChatGPT API

Lecture 33 Connect to the ChatGPT Python PyQt Model

Lecture 34 Control AI Tokens and Perfecting Your App

Section 9: Build Application Quickly Using ChatGPT

Lecture 35 Build Applications Quickly Using ChatGPT

Section 10: Back-end: Learn Python for Applications Development

Lecture 36 Python Version Control

Lecture 37 Using Python as a Calculator

Lecture 38 Flow Control Statements

Lecture 39 Flow Control Keywords

Lecture 40 Functions

Lecture 41 Classes and Methods

Lecture 42 Error Handling

Section 11: Front-end: Learn HTML for Application Development

Lecture 43 Creating HTML Files

Lecture 44 Tags & HTML Page Structure

Lecture 45 Headings and Tags

Lecture 46 Inline, Block Level Elements and Links

Lecture 47 Field Attributes: Message, Email, Age, Date

Lecture 48 Buttons, Image Upload and Sizing

Lecture 49 Quotations, Citation and Abbreviations

Lecture 50 Page Switching

Section 12: Add User Friendly Design using CSS

Lecture 51 Set Up a CSS Project

Lecture 52 Set Colors with CSS

Lecture 53 Design Your Fonts with CSS

Lecture 54 IDs and Containers

Lecture 55 Box Ma, Border and Padding

Lecture 56 Creating Forms with CSS

Lecture 57 Creating your First CSS Page

Section 13: Learn javascript for Adding Logic to Your Application Front-End

Lecture 58 Data Types and Console Statements

Lecture 59 Methods with Arrays

Lecture 60 Loops: for, while, if and switch

Lecture 61 Functions and Classes

Lecture 62 Use HTML Elements in javascript

Software developers and eeers who want to expand their skill set and learn how to incorporate AI into their projects.,Entrepreneurs who are looking to create innovative applications and services using the latest AI technologies.,Students and acads 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 they can be used to create intelligent chatbots and other applications.,Individuals who want to develop new skills that are in high demand in the tech industry and stay ahead of the curve.,Professionals who want to add AI development and deployment to their skillset or work as a consultant.,Anyone looking to monetize their AI development skills by creating and selling ChatGPT-based applications.

HomePage:

https://www.udemy.com/course/chatgpt-app/