OpenAI API with Node.JS Bootcamp- ChatGPT API, GPT-4, DALL·E
- Development
- Dec 28, 2024

OpenAI API with Node.JS Bootcamp: ChatGPT API, GPT-4, DALL·E, available at $64.99, has an average rating of 4.45, with 34 lectures, based on 16 reviews, and has 2287 subscribers.
You will learn about Understanding of the OpenAI Ecosystem Integration of OpenAI Technologies in NodeJS Applications Prompt Engineering & GPT Parameters Fine-Tuning OpenAI Models Building Visual Applications with DALL-E 2 & 3 Create Voice-to-Text and Text-to-Voice using Whisper and TTS This course is ideal for individuals who are NodeJS/JavaScript Developers looking to integrate AI capabilities into their web applications or services. It is particularly useful for NodeJS/JavaScript Developers looking to integrate AI capabilities into their web applications or services.
Enroll now: OpenAI API with Node.JS Bootcamp: ChatGPT API, GPT-4, DALL·E
Summary
Title: OpenAI API with Node.JS Bootcamp: ChatGPT API, GPT-4, DALL·E
Price: $64.99
Average Rating: 4.45
Number of Lectures: 34
Number of Published Lectures: 33
Number of Curriculum Items: 34
Number of Published Curriculum Objects: 33
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
Transform Your NodeJS Applications with AI: Master OpenAI’s APIs including GPT-4, GPT-4 Vision, DALL-E, and Whisper
Dive into the realm of AI with the OpenAI NodeJS Masterclass, a comprehensive course designed to equip you with the skills to integrate OpenAI’s groundbreaking APIs into your NodeJS applications. This course, freshly recorded with the latest features of GPT-4, offers an in-depth exploration of the OpenAI ecosystem, tailored for NodeJS developers.
What You Will Learn:
Understanding OpenAI Ecosystem: Gain a solid foundation in the capabilities of OpenAI’s suite, including GPT 4, DALL-E, and Whisper.
NodeJS and OpenAI API Integration: Learn to seamlessly incorporate OpenAI APIs into your NodeJS projects, managing API calls and responses effectively.
Prompt Engineering: Hone your skills in crafting prompts that leverage AI models for improved outputs in diverse scenarios.
Fine-Tuning AI Models for Specific Needs: Learn to customize OpenAI models for particular requirements, enhancing their effectiveness in your applications.
GPT Parameters: Master the art of tweaking AI parameters such as Temperature, Frequency Penalty and Top-p, ensuring tailored responses from your AI models.
Visual Applications with DALL-E: Discover how to use DALL-E APIs to create unique images and artworks directly within NodeJS applications.
Voice and Text Interactions with Whisper: Implement text-to-voice and voice-to-text features to enhance user interaction and accessibility in your projects.
Why This Course?
This provides an extensive understanding and practical knowledge of OpenAI’s APIs essential for NodeJS developers. You’ll explore the intricacies of integrating AI into web applications, enhancing user experience, and unlocking new possibilities in your projects.
Who Should Enroll:
NodeJS developers seeking to integrate AI into their applications
Software engineers and full-stack developers wanting to add AI capabilities to their skillset.
Enthusiasts and hobbyists interested in applying AI in web technologies.
Entrepreneurs and startup teams aiming to leverage AI for innovative product features.
Students and academic researchers looking to deepen their AI integration knowledge.
Analysts and data scientists interested in the application of AI in data analysis and visualization.
Embark on Your AI Journey:
Join the OpenAI NodeJS Masterclass and start transforming your NodeJS projects with the power of AI. Enroll today to step into the future of AI-driven development!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: Software Installations
Lecture 1: Installing Visual Studio Code
Lecture 2: Installing Node.js and NPM
Lecture 3: Installing OpenAI library
Chapter 3: Configuration and Overview
Lecture 1: Configuring and Getting OpenAI API Keys
Lecture 2: Overview of the Models Part 1
Lecture 3: Overview of the Models Part 2
Lecture 4: Note: Recent Updates from OpenAI
Chapter 4: Text-based Models [GPT-4, GPT-3.5 & More]
Lecture 1: Interacting with Text-based Models Part 1
Lecture 2: Interacting with Text-based Models Part 2
Lecture 3: GPT 4 & GPT 4 Vision
Lecture 4: Streaming and Chat Completion Chunks
Lecture 5: GPT Parameters – Temperature, Top-p, Frequency Penalty, Presence Penalty, etc.
Chapter 5: Prompt Engineering
Lecture 1: Basics of Prompt Engineering
Lecture 2: Prompt Engineering Overview and Techniques
Lecture 3: Delimiters in Prompt Engineering
Lecture 4: Structured Outputs in Prompt Engineering
Lecture 5: Structured Outputs – Practical Example (Pizza Delivery)
Lecture 6: Few Shot Prompts, Zero Shot CoT, Self-Consistency, etc.
Chapter 6: Whisper & TTS
Lecture 1: Whisper API – Introduction and Usage
Lecture 2: Whisper API – Pizza Delivery Example
Lecture 3: Text to Speech (TTS) API
Chapter 7: DALL·E 2 & 3
Lecture 1: DALL·E Introduction and Overview
Lecture 2: Creating Images using DALL·E API
Lecture 3: Creating Better Images using DALL·E
Lecture 4: Editing Images using DALL·E API
Lecture 5: Creating Variations using DALL·E API
Lecture 6: A Peek at DALL·E 3
Chapter 8: Fine-tuning
Lecture 1: Introduction to Fine-tuning
Lecture 2: Preparing Datasets
Lecture 3: Uploading Datasets
Lecture 4: Creating a Fine-tune Job
Lecture 5: Using the Fine-tuned Model
Instructors

Jay Kumar
Software Engineer
Rating Distribution
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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