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Build an AI Web App with OpenAI's GPT-3: Full SaaS Tutorial

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Build an AI Web App with OpenAI's GPT-3: Full SaaS Tutorial, available at $84.99, has an average rating of 3.95, with 34 lectures, based on 73 reviews, and has 878 subscribers.

You will learn about Understand how to use OpenAI's GPT-3 API to generate text, code, images, and other 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). Integrate payment processing with Stripe and implement a paid subscription model for your application This course is ideal for individuals who are Beginner full stack developers hoping to leverage artificial intelligence to create powerful and innovative web solutions or Intermediate coders with some experience in web development, but who want to learn how to utilize GPT-3 in their projects. The course will cover intermediate concepts of web development and GPT-3, including how to integrate GPT-3 into a full stack web application. or Experts in web development who want to stay up to date with the latest developments in the field, including the utilization of GPT-3 in full stack web applications. It is particularly useful for Beginner full stack developers hoping to leverage artificial intelligence to create powerful and innovative web solutions or Intermediate coders with some experience in web development, but who want to learn how to utilize GPT-3 in their projects. The course will cover intermediate concepts of web development and GPT-3, including how to integrate GPT-3 into a full stack web application. or Experts in web development who want to stay up to date with the latest developments in the field, including the utilization of GPT-3 in full stack web applications.

Enroll now: Build an AI Web App with OpenAI's GPT-3: Full SaaS Tutorial

Summary

Title: Build an AI Web App with OpenAI's GPT-3: Full SaaS Tutorial

Price: $84.99

Average Rating: 3.95

Number of Lectures: 34

Number of Published Lectures: 33

Number of Curriculum Items: 34

Number of Published Curriculum Objects: 33

Original Price: $74.99

Quality Status: approved

Status: Live

What You Will Learn

  • Understand how to use OpenAI's GPT-3 API to generate text, code, images, and other 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).
  • Integrate payment processing with Stripe and implement a paid subscription model for your application

Who Should Attend

  • Beginner full stack developers hoping to leverage artificial intelligence to create powerful and innovative web solutions
  • Intermediate coders with some experience in web development, but who want to learn how to utilize GPT-3 in their projects. The course will cover intermediate concepts of web development and GPT-3, including how to integrate GPT-3 into a full stack web application.
  • Experts in web development who want to stay up to date with the latest developments in the field, including the utilization of GPT-3 in full stack web applications.

Target Audiences

  • Beginner full stack developers hoping to leverage artificial intelligence to create powerful and innovative web solutions
  • Intermediate coders with some experience in web development, but who want to learn how to utilize GPT-3 in their projects. The course will cover intermediate concepts of web development and GPT-3, including how to integrate GPT-3 into a full stack web application.
  • Experts in web development who want to stay up to date with the latest developments in the field, including the utilization of GPT-3 in full stack web applications.

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!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: What Is Full Stack Devlopment?

Lecture 3: What is the MERN Stack?

Lecture 4: What is SaaS?

Lecture 5: What is GPT-3?

Lecture 6: GPT-3 Examples

Lecture 7: Project Requirements and Roadmap

Lecture 8: What's Next

Chapter 2: Developing our Web Application

Lecture 1: Setting Up the Development Environment

Lecture 2: Setting up Our Backend

Lecture 3: Setting up our Database

Lecture 4: Setting up our Frontend

Lecture 5: Integrating User Authentication – Backend

Lecture 6: Integrating User Authentication – Frontend

Lecture 7: theme.js file

Lecture 8: Incorporating GPT-3 to our Application

Lecture 9: Generating AI Text – Part 1

Lecture 10: Generating AI Text – Part 2

Lecture 11: Generating AI Text – Part 3

Lecture 12: Generating AI Code

Lecture 13: Generating AI Images

Lecture 14: Pre-Stripe: User Authentication Part 2

Lecture 15: Integrating Stripe – Checkout Creation

Lecture 16: Integrating Stripe – hooks

Lecture 17: Integrating Stripe – Billing Portal

Lecture 18: What's Next

Lecture 19: Code Cleanup

Chapter 3: Deploying our Application to the Cloud

Lecture 1: Deploying to Azure

Lecture 2: GitHub Actions Deployment YAML File

Lecture 3: Integrating Application Insights

Lecture 4: Purchasing and Linking a Domain Name to our App

Lecture 5: Best Practices for Maintaining and Updating the Application

Lecture 6: Final thoughts and Next Steps

Instructors

Rating Distribution

  • 1 stars: 6 votes
  • 2 stars: 1 votes
  • 3 stars: 7 votes
  • 4 stars: 14 votes
  • 5 stars: 45 votes

Frequently Asked Questions


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You can view and review the lecture materials indefinitely, like an on-demand channel.


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