Openai Apis With Node.Js: Building Next-Generation Web Apps
Published 8/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.92 GB | Duration: 7h 46m
Exploring GPT, DALL-E, Whisper in Node.js: Crafting REST APIs and Building Webpages with ChatGPT.
What you'll learn
Understanding of OpenAI API Interaction with Node JS
Development of AI-Enhanced Web Applications
Efficient Web Development Using AI
Adapting to Evolving AI Technologies
Requirements
Good Command of JavaScript: Particularly, a strong understanding of Objects and Promises is essential as we'll be working extensively with JavaScript to create our application.
Basic Nodejs Knowledge: Familiarity with Nodejs basics is expected, as we'll be building a Nodejs application to integrate with the OpenAI API.
Basic Knowledge of Express Framework: Having a basic understanding of the Express framework will be beneficial as we'll convert our Nodejs app into an Express server for creating JSON APIs.
Knowledge of REST APIs and HTTP: Understanding RESTful APIs and HTTP request/response concepts is necessary as we will expose our applications as REST APIs.
Description
Course Overview: Welcome to "OpenAI APIs with Node.js," a comprehensive course that teaches you how to combine the powerful capabilities of OpenAI with the versatility of Node.js. While many courses emphasize AI integration with Python, we are pioneers in highlighting the union of OpenAI's advanced models with Node.js, bringing AI's potential to robust and scalable web applications.Why Node.js for OpenAI Integration?Over the past 30 years, AI research has advanced rapidly, with Python becoming the dominant language for experiments and demos.As AI innovations transition to production-grade applications, the limitations of Python in areas like concurrency, security, performance, and user-friendliness become evident.Legacy systems, many of which use other tech stacks, need to harness new AI advancements.OpenAI's provision of a Node.js SDK demonstrates a recognition of this gap, and our course fills the educational void with an emphasis on using Node.js for AI-driven applications.Course Structure:Getting Started:AI, ML & OpenAI models overview.Introduction to the OpenAI platform.Setting up the prerequisites.OpenAI API Fundamentals:Setting up your OpenAI account.Installing and authenticating with the OpenAI Node.js library.Understanding OpenAI models and their utilities.Creating APIs with Express and integrating with the frontend.Diving deep into the capabilities of OpenAI models like ChatGPT, DALL-E, and Whisper.PROJECTS:Emotion Analyzer: Your personal AI assistant to understand sentiments behind texts.ChatGPT Clone: Harness the power of gpt-3.5-turbo for natural, human-like interactions.Fridge Chef: Your AI chef that recommends meals based on your available ingredients.YouTube Insights: Extract valuable insights from YouTube videos using transcription, translation, and keyword generation.Semantic Search: Upgrade your search capabilities with context-aware, precise results.Required Skills: To excel in this course, ensure you're equipped with
Overview
Section 1: Getting Started
Lecture 1 AI, ML & Models Overview
Lecture 2 OpenAI & Models Overview
Lecture 3 OpenAI Platform Overview
Lecture 4 Requirements and Prerequisites
Section 2: OpenAI API Fundamentals
Lecture 5 Create An OpenAI Account and an API Key
Lecture 6 Create Node.js Application & Install OpenAI & Key
Lecture 7 OpenAI Models
Lecture 8 Making GPT 3.5 Requests Using the OpenAI API
Lecture 9 Convert to Express and Create JSON APIs
Lecture 10 Create Frontend Using ChatGPT
Lecture 11 OpenAI APIs Costs
Lecture 12 Tokens
Lecture 13 Chat Completion Parameters
Lecture 14 Chat Completion System Role
Lecture 15 Image Manipulation with DALL-E
Lecture 16 Create Image Variations with DALL-E
Lecture 17 Edit Images with DALL-E
Lecture 18 Speech Recognition with Whisper
Lecture 19 Introduction to Embeddings
Section 3: Project - Emotion Analyzer
Lecture 20 Project Introduction
Lecture 21 Interacting with the OpenAI APIs
Lecture 22 Creating a REST API
Lecture 23 Developing the Web Page
Section 4: Project - ChatGPT Clone
Lecture 24 Project Introduction
Lecture 25 Making a Dialogue with The Model
Lecture 26 Generalize the Dialogue with Recursion
Lecture 27 Convert to a REST API Using Express
Lecture 28 Developing the Frontend via ChatGPT
Section 5: Project - Fridge Chef
Lecture 29 Project Introduction
Lecture 30 Generate Meals using ChatCompletion
Lecture 31 Parse Titles & Meals
Lecture 32 Create Meal Images
Lecture 33 Create the REST API
Lecture 34 Create Frontend with ChatGPT
Section 6: Project - YouTube Insights
Lecture 35 Project Introduction
Lecture 36 Download Audio from a YouTube Video
Lecture 37 Transcribe\Translate Via Whisper Model
Lecture 38 Obtain Insights from ChatCompletion Model
Lecture 39 Convert to REST API
Lecture 40 Implementing the Frontend with ChatGPT
Section 7: Project - Semantic Search
Lecture 41 Project Introduction
Lecture 42 Generating Embeddings & Measuring Similarities
Lecture 43 Cache Embeddings in a File
Lecture 44 Implement the Semantic Search Function
Lecture 45 Convert to REST API
Lecture 46 Implement the Web Page with ChatGPT
Web Developers: Those with a foundation in web development, particularly in the JavaScript/Node js realm, looking to expand their skill set by integrating AI functionalities into their applications.,AI Enthusiasts: Individuals passionate about artificial intelligence, desiring to understand its practical applications in the real-world web environment.,Tech Entrepreneurs: Those aspiring to create next-gen applications or services can benefit from understanding how AI can be harnessed in web platforms to offer novel and competitive solutions.,Students & Educators: Anyone in academia wanting a comprehensive overview of AI's role in web development, offering both theory and hands-on experience.
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