openai_api_key

twitter_api_key

twitter_api_secret_key

twitter_access_token

twitter_access_token_secret

Lead the GenAI revolution by learning to build intelligent, scalable applications with OpenAI APIs, Redis, and Node.js. Future-proof your skills with hands-on projects and practical experience.

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

// Import the require module
const { OpenAI } = require("openai");

// Function to generate tweet based on the topic given
const generateTweetForTopic = async (topic) => {

    // Instance of OpenAI
    const openai = new OpenAI({ apiKey: openai_api_key });

    // Use OpenAI chat completions and the prompt to generate the tweet 
    const response = await openai.chat.completions.create({
        model: 'gpt-3.5-turbo',
        messages: [
            {
                role: 'user',
                content: `You are an expert Twitter tweet generator. Write a tweet 
                          on the topic: ${topic} that can go viral on Twitter.
                          It should be intersting, unique and catchy to read. Your tone 
                          should be funny and your response should not contain 
                          anything other than the tweet. Your tweet should be less 
                          than 255 characters.`
            }
        ],
        temperature: 1.5
    });

    return response.choices[0].message.content.trim();
}

// Used the immediately invoked function expression
(async () => {
    try{
        const tweet = await generateTweetForTopic('machine learning')
        console.log(tweet)
    } catch (e) {
        console.log('Error: ', e);
    }
})();

Learn how to implement the API that uses OpenAI and a prompt to generate Twitter tweets based on a given topic.

Overview of the Course

Quick Bites to Node.js and Express.js

Build a Rest API for an Image-Sharing App With Node.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

Exploring OpenAI API

Implement API to Generate Tweets Using OpenAI

Script to generate tweets using a topic