Generative AI & ChatGPT Basics Online Course
Generative AI & ChatGPT Basics Online Course
This course provides a comprehensive exploration of the OpenAI API, focusing on natural language processing (NLP) and code generation. You will gain hands-on experience with the Completions endpoint, optimize prompt design, and manage token usage effectively. Practical projects, including fact-based search, image generation with DALL-E, and code completion, will help you apply your skills. We will cover various NLP tasks such as content generation, summarization, semantic search, and sentiment analysis while working with cutting-edge models like GPT-3. With a focus on technologies such as Node.js, React.js, and Next.js, you'll be equipped to build advanced AI-driven applications. By the end of the course, you'll have the expertise to use the OpenAI API to enhance NLP and code generation capabilities in your projects.
Key Benefits
- Develop a thorough understanding of the OpenAI API, including core concepts, models, and practical applications.
- Gain hands-on experience by building real-world applications with Node.js, React.js, and Next.js, integrating the OpenAI API for enhanced functionality.
- Master the art of designing prompts, configuring settings, and utilizing tokens to effectively customize and control the output from the OpenAI API.
Target Audience
This course is ideal for both front-end and back-end JavaScript developers looking to enhance their web development expertise. It also caters to students pursuing web development and software engineering, as it covers key concepts and practical techniques. Anyone interested in building applications using the OpenAI API and GPT-3 model will find this course valuable. Prerequisites include a foundational understanding of HTML and CSS for web development, a solid grasp of JavaScript fundamentals, proficiency in using Visual Studio Code for coding, the latest version of Node.js, and a modern web browser equipped with the React Developer Tools extension.
Learning Objectives
- Engage with GPT-3 to perform a wide range of natural language processing (NLP) tasks.
- Convert natural language inputs into code and generate code continuations.
- Explore and experiment with code examples, the OpenAI Playground, and various API models.
- Use the DALL-E model to generate original images from text descriptions.
- Implement text completion and tackle other language-processing tasks.
- Develop a basic application utilizing the text completion endpoint for practical use.
Course Outline
The Generative AI & ChatGPT Basics Exam covers the following topics -
Module 1 - Exploring OpenAI's Beta
- Overview of OpenAI API
- Introduction to GPT-3: Key Features and Functions
- Understanding Models, Endpoints, and Usage
- Hands-on with Playground: Experimenting with OpenAI's API and GPT-3 Models
- Reviewing Documentation, Best Practices, and Sample Use Cases
Module 2 - OpenAI API Setup, Reference, and Initial Example
- Overview and Project Setup (Download Starter Files)
- Installing and Utilizing OpenAI’s Node.js Library (Part 1)
- Installing and Utilizing OpenAI’s Node.js Library (Part 2)
- API Key Setup and Authentication Process
- Making API Calls: Using Async Function, POST Request, and Output Completion
- Configuring API Settings for Optimization
Module 3 - Content Generation with the Completion Model – (Project: FACTS SEARCH)
- Project Introduction and Setup
- API Key and OpenAI API Configuration
- Generating Content with the Davinci Model
- Crafting Prompts and Modifying Settings for Optimal Results
Module 4 - Generating Images Using the DALL-E Model
- Introduction and Project Overview
- OpenAI API Setup and Configuration (Demo)
- Crafting Prompts and Fine-Tuning Settings
- Sending Requests to the DALL-E API
- Final Steps: Generating Unique Images from Text Prompts
