
SaaS, or software as a service, is hosted by a third party and accessed over the internet via a browser. It offers subscription pricing with examples like Zoom and Grammarly.
Explore GPT-3 use cases, including text summarization for a second-grader, multilingual translation, turning prompts into Python code, and building a virtual assistant, demonstrated in OpenAI's playground.
Explore the development roadmap for a SaaS web app using GPT-3, covering environment setup, backend with Express, API endpoints and models, frontend with React, Stripe payments, and Azure deployment.
Set up your development environment by installing Node.js and npm, Visual Studio Code with extensions like dot env, and configure GitHub Desktop and MongoDB for the Udemy SAS project.
Set up a MongoDB database for your sas application, create the cluster on the free tier with Azure, and configure the MongoDB uri while securing credentials in the ignore file.
Set up the frontend by creating a client directory, installing React and routing tools, and running the app on localhost:3000. Install Material UI and icons to speed UI development.
Learn to implement backend user authentication with a Mongoose user model, bcrypt password hashing, and JWT-based access and refresh tokens, including sign-up, login, and logout routes using cookies.
This lecture guides you to integrate OpenAI into a SaaS app by installing the npm package, creating and loading an OpenAI API secret, and wiring a controller to make requests.
Integrate stripe web hooks to handle checkout session completions, payment outcomes, and subscription updates, updating user records and metadata in your ai web app.
Learn code cleanup for deployment by implementing protected routes and subscription checks, wrapping routes with a normal wrapper, and streamlining error handling to reduce API calls and guard access.
Enable application insights and configure backend and frontend integrations, set instrumentation keys and connection strings, install packages, and monitor failed requests, server response times, and user sessions in Azure.
Buy a Google domain, link it to your app by configuring Azure domain verification and DNS records (A and TXT), then deploy app on Azure with Stripe and GPT-3 prompting.
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!