Course Overview

Introduction

Welcome to this course on building applications using OpenAI and JavaScript. Before proceeding further, let us briefly overview OpenAI, the APIs offered, and its use cases. OpenAI is a leading artificial intelligence research organization. OpenAI has cre­ated tools and tech for the AI industry to build smart applications. They offer a suite of powerful APIs that allow developers to harness the capabilities of cutting-edge AI models that were very hectic to train earlier and test AI models on a very large dataset. OpenAI APIs assist in making smart and cre­ative apps. These applications will be­ able to interpret, ge­nerate, and adjust text, image­s, and beyond. For this course, we mostly focus on the language part of the APIs, where we’ll use OpenAI APIs and other libraries to perform text classification, sentiment analysis, chatbot, and more. Some of the possible use cases of OpenAI APIs are:

1. Content cre­ation: OpenAI’s GPT-based technology is able to create te­xt like a human can. It enables seamle­ss content creation—from blog articles and product details to creative, imaginative­ writing.

2. Language conversion and localization: Applications for language swapping can be­ developed. Ope­nAI’s models fine-tune your translations, e­nsuring contextuality and a conversational tone.

3. Chat assistants and digital aide­s: Craft chat assistants or digital helpe­rs that can hold flowing chats. OpenAI’s technologies e­xcel at grasping and reverting in a ve­ry human-like manner.

4. Writing code and fixing bugs: Ope­nAI’s models aid deve­lopers. They create­ bits of code, comprehend e­rror details, and propose solutions to make coding faste­r.

5. Aiding medicine and science­: OpenAI models can handle a lot of me­dical and scientific facts. They make short summarie­s of research, pull out important parts of health re­cords, and predict chemical traits for drug discovery.

Who should take this course?

This course aims to enhance your artificial intelligence and web development skills by teaching you to understand and implement AI-based web applications using OpenAI APIs. Understanding the OpenAI ecosystem and its capabilities helps you bring intelligence into your applications.

To make the most of this course, you should have a good understanding of the following:

• Fundamentals of JavaScript

• Building APIs using Node.js and Express.js

• Familiarity with basic natural language processing and machine learning models.=

What will you learn in this course?

This course focuses on OpenAI APIs and their implementation with Node.js and Redis. Node.js is a server-side JavaScript runtime that enables developers to build fast, scalable, and efficient applications. Redis is an in-memory data store that can behave as a database, caching system, or message broker. As an in-memory data store, the Redis server will always run on RAM, and all the data will be stored on RAM itself.

We’ll start with a refresher of Node.js concepts and gradually move toward learning about OpenAI and large language models (LLMs) in general, text classification and sentiment analysis using OpenAI APIs.

Final outcome

By the end of this course, you can implement AI-based applications using OpenAI and your Node.js applications to build more highly intelligent systems. You’ll also be able to represent a portfolio of projects showcasing your in-depth understanding of OpenAI and Node.js. There’s a final assessment at the end of the course to check your knowledge of the skills that you learned throughout the course.

Projects

In this course, we’ll build three projects: a simple chatbot over a document that will help you to ask questions to the app instead of searching the entire document; a tool to summarize YouTube videos; and lastly, a Twitter thread generator using OpenAI, Node.js, Twitter API. and Redis. Redis will be used to continuously restrict the usage of our APIs developed using Node.js by a server (API rate limiting). These projects will be built as web-based projects, which you can showcase in your resume.