Overview

Class Central Tips

ChatGPT enhances programming and code analysis, offering significant early advantages. This course teaches you to create an AI-powered pet name generator. Starting with ChatGPT and the latest web development tools, you’ll install the necessary tools and gain hands-on experience with web technologies. You will: - Learn to implement machine learning in a real-world project - Use React Hooks for interactive interfaces, and make API calls to OpenAI using Fetch and NPX. - Build an AI application, understand machine learning, - Create React Hook-based interfaces, adding a pet name generator to your portfolio. - Learn to build an AI app with OpenAI API, - Install tools and dependencies, and get hands-on with React, Next.js, JavaScript, Node, and CSS. Ideal for those interested in web development and ChatGPT jobs, this course suits beginners and those with basic JavaScript knowledge. No programming experience is needed, but basic JavaScript and web development knowledge is a plus.

Syllabus

Setting Up the OpenAI ChatGPT Project

In this module, we will introduce the foundational elements required to start your journey with building a ChatGPT AI using JavaScript and OpenAI. We will cover the course overview, explore the final model, and delve into essential technologies like Next.js, React.js, Node.js, and NPM. Additionally, you will learn to install and configure your development environment, including Visual Studio Code, and understand the file structure necessary for the project.

Client-Side Code for OpenAI ChatGPT

In this module, we will focus on the client-side code essential for building the ChatGPT AI application. You will get an overview of key index and starter coding files, clean up and comment the index file for better clarity, and write a form in React using Next.js. We will also introduce React hooks and state management to help you build a more interactive and dynamic chatbot application.

Client-Side Adding State and Hooks to the OpenAI ChatGPT Application

In this module, we will enhance the functionality of the ChatGPT application by adding state and hooks. You will learn how to update the state for handling user inputs, especially for personalized queries like animal-related topics. We will integrate onSubmit functionality to connect the application with the OpenAI API, and use async/await and fetch methods to handle post requests and data responses efficiently.

OpenAI API Setup and Documentation

In this module, we will delve into the OpenAI API setup and its documentation. You will examine practical examples of using the OpenAI API to generate text, answer questions, and create chatbots. Additionally, you will learn how to securely manage your ChatGPT API key and implement environment security protocols to protect your application from potential breaches.

Finish Styling the OpenAI Application

In this module, we will focus on styling the OpenAI application to make it visually appealing and user-friendly. You will learn how to apply CSS styling to the form elements and add result styling to improve the appearance of the output. This will ensure that your ChatGPT application is not only functional but also aesthetically pleasing.

Generate API for OpenAI Configuration with ChatGPT

In this module, we will cover advanced topics related to the OpenAI API configuration with ChatGPT. You will learn how to demonstrate a call and response example to optimize and personalize chatbot responses. Additionally, we will teach you how to implement robust error handling and logic completion techniques to ensure your application can handle unexpected inputs and provide accurate responses.