openai_api_key

twitter_api_key

twitter_api_secret_key

twitter_access_token

twitter_access_token_secret

This course covers building GenAI apps with JavaScript, API development, vector embeddings, speech-to-text, image generation, and rate limiting with OpenAI.

Harsh Jain - Build Open AI Applications Using JavaScript (1).png

docker.tar.gz

Node With Express

Node Without Express

Node Without Express with Redis

Node With Express and Redis

In this course, you’ll get an introduction to Node.js and Express.js. You’ll learn about large language models—including how a general LLM works, OpenAI’s GPT model, and its APIs with Node.js. You’ll also learn about Redis to implement API rate limiting. You’ll then gain hands-on, practical experience via three applied projects. The first involves building a Q&A bot using the PDF document to understand embeddings. The second includes building a YouTube video summarizer app to understand speech-to-text processing using OpenAI’s Whipser model. The final project is tol build a Twitter tweet generator to learn image generation with Redis’s role in managing API rate limits.

After taking this course, you can develop intelligent and scalable applications using OpenAI APIs, Redis, and Node.js.

Build OpenAI Applications with JavaScript

Get an overview of the document question-answering bot that we will create in this chapter.

Introduction to Document Q&A Bot Project

Overview of the Course

Quick Bites to Node.js and Express.js

Introduction to OpenAI and LLMs

Document Q&A Bot Using OpenAI

YouTube Video Captions Project

Quick Bites to Redis with Node.js

Twitter Tweet Generator

Wrap Up

Course Assessment

Introduction to Document Q&A Bot Project

What is the project about?