Create a SaaS Web App with OpenAI’s GPT-3

Create a SaaS Web App with OpenAI’s GPT-3

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 33 lectures (2h 38m) | 1.07 GB

Learn to create a full stack web application using the MERN Stack and OpenAI’s GPT-3 API.

Hi there! My name is Alvin and I am the CTO of EZread, an education-based website that provides students with summaries of their textbooks using the power of GPT-3 artificial intelligence. In this course, we will be using the MERN stack (MongoDB, Express.js, React.js, and Node.js) to build a full stack SaaS web application that leverages GPT-3.

GPT-3 (Generative Pre-trained Transformer 3) is a state-of-the-art natural language processing model developed by OpenAI. It has the ability to generate human-like text, complete tasks such as translation and summarization, and even generate code

By combining the power of GPT-3 with full stack development, we can create truly innovative and dynamic SaaS web applications that can improve various industries and solve real-world problems. In this course, we will explore how to utilize GPT-3 in a full stack SaaS web application, as well as learn the skills needed to build a such an application using the MERN stack and Stripe (for payment processing).

Whether you are a beginner developer looking to get started with GPT-3 or an experienced programmer looking to add this powerful tool to your skillset, this course has something for everyone. By the end of this course, you will have a solid understanding of how to leverage GPT-3 and the MERN stack to build modern, intelligent SaaS web applications. So join me in this exciting journey and let’s create something great together!

What you’ll learn

  • Understand how to use OpenAI’s GPT-3 AI API to generate text and images and perform natural language processing tasks.
  • Build a full stack SaaS web application using the MERN stack (MongoDB, Express, React, and Node js), and integrate GPT-3 AI functionality into the application.
  • Use GPT-3 AI to add interactive, intelligent features to the web application, such as language translation, text summarization, or chatbot functionality.
  • Learn how to deploy the full stack web application to a cloud platform (Microsoft Azure).
Table of Contents

1 Introduction
2 What Is Full Stack Devlopment
3 What is the MERN Stack
4 What is SaaS
5 What is GPT3
6 GPT3 Examples
7 Project Requirements and Roadmap
8 Whats Next

Developing our Web Application
9 Setting Up the Development Environment
10 Setting up Our Backend
11 Setting up our Database
12 Setting up our Frontend
13 Integrating User Authentication Backend
14 Integrating User Authentication Frontend
15 themejs file
16 Incorporating GPT3 to our Application
17 Generating AI Text Part 1
18 Generating AI Text Part 2
19 Generating AI Text Part 3
20 Generating AI Code
21 Generating AI Images
22 PreStripe User Authentication Part 2
23 Integrating Stripe Checkout Creation
24 Integrating Stripe hooks
25 Integrating Stripe Billing Portal
26 Whats Next
27 Code Cleanup

Deploying our Application to the Cloud
28 Deploying to Azure
29 GitHub Actions Deployment YAML File
30 Integrating Application Insights
31 Purchasing and Linking a Domain Name to our App
32 Best Practices for Maintaining and Updating the Application
33 Final thoughts and Next Steps